SlideShare a Scribd company logo
http://www.iaeme.com/IJMET/index.asp 185 editor@iaeme.com
International Journal of Mechanical Engineering and Technology (IJMET)
Volume 8, Issue 3, March 2017, pp. 185–196 Article ID: IJMET_08_03_021
Available online at http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=8&IType=3
ISSN Print: 0976-6340 and ISSN Online: 0976-6359
© IAEME Publication Scopus Indexed
ANALYTICAL TOOL FOR ANALYSING
SLAGGING CHARACTERISTIC OF HIGH ASH
COALS IN UTILITY BOILERS
J. John Christy Vijay
Field Engineering Services, Bharat Heavy Electricals Limited, Trichirappalli, TN, India
A. Lawrence
Field Engineering Services, Bharat Heavy Electricals Limited, Trichirappalli, TN, India
G. Arthanareeswaran
Membrane Research Laboratory, Department of Chemical Engineering, National Institute of
Technology, Trichirappalli, TN, India
ABSTRACT
In today’s competitive market, the performance of electric utility industry is a
serious concern to the nation. Majority of power plants are Coal-Fired Power plants
in India. Due to the wide variation in the quality of coal being fired, it affects the
performance of the power plant like furnace wall slagging, convective pass slagging
(both Low and High Temperature), soot blower effectiveness, erosion and
grindability. At this juncture, a reliable prediction is needed to assess the slagging
problem which in turn affects the performance parameters of power plant like heat
transfer rate, exit gas temperature, surface corrosion and frequency of soot blowing.
Though conventional indices and ash fusion temperature measurement techniques
do not aid in predicting slagging condition with field performance hence, it is reported
to be highly subjective in nature and poor accuracy.
In this work an alternative approach is made based on shrinkage measurement up
to 1400 °C of coal ash prepared at 800 °C. Sensitive shrinkage measurements indicate
temperatures of rapid change which correspond to the formation of liquid phases.
A preliminary evaluation of shrinkage data for coal ash collected at different
power stations firing wide variety of coal indicates that, the shrinkage profiles of the
ashes are differing widely and rate of shrinkage measurement can provide an
alternative approach to characterize/assess the slagging potential. Shrinkage
measurement of coal ash has been carried out for the coal ashes collected at different
power stations using different quality of coal.
Key words: Utility Boiler; Slagging; Prediction; Energy; Thermal; Shrinkage; TMA
etc.,
Cite this Article: J. John Christy Vijay, A. Lawrence and G. Arthanareeswaran,
Analytical Tool for Analysing Slagging Characteristic of High Ash Coals in Utility
Analytical Tool for Analysing Slagging Characteristic of High Ash Coals in Utility Boilers
http://www.iaeme.com/IJMET/index.asp 186 editor@iaeme.com
Boilers. International Journal of Mechanical Engineering and Technology, 8(3), 2017,
pp. 185–196.
http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=8&IType=3
1. INTRODUCTION
A pulverized coal-fired Boiler is an industrial or utility Boiler that generates thermal energy
by burning pulverized coal (Fossil Fuel) into the furnace. The basic idea behind pulverized
coal firing system is to use the whole volume of the furnace for combustion. Pulverised Coal
firing is a dominant technology for generating electric power in our country which contributes
60% of total installed capacity in thermal as on August 2015.Pulverised coal provides the
thermal energy which produces about 50% of world’s electric supply.
Pulverised fuel Boilers are principally a combustion chamber enclosed by vertical wall
tubes. Pulverised coal enters into the combustion chamber through the burners, combusts and
heat the water in the vertical tubes. Steam produced from heating the water produce electricity
through turbo-generator sets. The mineral matter in coal is converted into ash during
combustion. (A coal particle entering the combustion chamber will be subjected to a
temperature of 1500° C). Ash, a by-product of combustion either accumulates onto the Boiler
tubes as “Slag” or is collected by Electrostatic Precipitators, attached to the backend of the
Boiler.
On entering the Boiler, mineral matter in coal undergoes high complex mineral
transformation to produce ash of varying elemental compositions, morphological features
(size and shape) and physical characteristics (viscosity and density).Flue gas a by-product of
combustion carries ash particles (fly ash) to the dust collecting facility at the Boiler end. Ash
thus formed from combustion creates severe problems like slagging, fouling, erosion,
particulate emissions etc., Slagging is a complex phenomenon seen in radiative heat transfer
section in boiler. The mechanism of the growth of the ash deposits on the surface of the tube
is mainly because of molten condition of the ash particles in the flue gas stream. When the
particle approach the tube initial layer formed by the condensation of low melting minerals,
therefore it acts as a glue to capture other particles arriving in partially molten state deposit
over the initial layer and provides a sticky surface for other particles leads to sintering. As the
deposit grows further and temperature becomes high the proportion of the liquid increases
which cause to collapse later.
2. PRELIMINARY ANALYSIS
All individual coal samples used in this work were characterized with proximate, ultimate
chemical composition of ash and calorific value analysis. The analysis were done as per
standard ASTM standards and summarized in Table(s) 1, 2 and 3
Table 1 Proximate analysis are done for different coal samples
Coal Moisture
Volatile
matter
Ash Fixed
Carbon
Sulphur Gross
Calorific
value
A 3.70 20.40 52.40 23.50 0.44 3026
B 10.80 43.90 4.60 40.70 0.34 5760
C 7.30 26.20 34.60 31.90 0.46 4058
D 10.06 22.75 43.19 24.00 0 3337
E 9.74 33.85 19.75 36.70 0.60 5069
F 25.0 37.17 2.50 35.30 0.30 4961
J. John Christy Vijay, A. Lawrence and G. Arthanareeswaran
http://www.iaeme.com/IJMET/index.asp 187 editor@iaeme.com
Table 2 Ultimate analysis are done for different coal samples
Coal
C H N S
% by Weight
A 32.12 2.04 0.98 0.44
B 62.23 3.69 1.04 0.34
C 41.76 2.74 1.01 0.46
D 35.82 1.68 0.69 1.09
E 54.81 3.18 1.22 0.58
F 51.32 4.02 1.09 0.27
Table 3 Chemical composition of coal ashes for different coal samples
Coal
SiO2 Al2O3 Fe2O3 TiO2 Cao MgO Na2O K2O P2O5 SO3
% by Weight
A 64.80 26.10 4.30 1.60 0.60 0.50 0.60 1.20 0.20 0.10
B 36.20 19.20 18.60 1.20 10.70 3.20 0.80 0.90 0.30 8.90
C 63.40 26.20 5.90 1.70 1.20 0.60 0.10 0.70 0.10 0.10
D 65.25 20.30 8.23 1.13 1.70 1.19 0.15 1.58 0.27 0.20
E 61.60 20.80 7.20 1.40 3.40 2.60 0.40 1.10 0.20 1.30
F 35.60 16.42 18.89 1.04 15.70 7.97 0.03 0.95 0.15 3.27
3. EMPIRICAL RATIO TO ASSESS SLAGGING
The conventional predictive slagging indices namely Base to acid ratio, Slagging factor Rs,
Iron oxide to calcium oxide ratio, Silica to alumina ratio, Sodium content of coal ash, Sodium
to potassium ratio and Iron oxide are done for the coal ash samples and are shown in Table 4.
The low, medium and high slagging stands for the prediction of coal behavior w.r.t slagging
in the Boiler during the combustion. Low slagging means there is non-problematic
combustion and the deposition does not affect the heat transfer and cleaning up is not
necessary. High slagging refers to formation of thick layer ash deposit on the Boiler heat
transfer section which will retard the heart transfer in boiler tubes.
Table 4 Slagging performance prediction based on conventional indices
Conventional
Indices C.I
A D.S B D.S C D.S D D.S E D.S F D.S
Base/Acid ratio 0.08 L.S 0.60 H.S 0.09 L.S 0.15 L.S 0.18 L.S 0.82 L.S
Slagging Rs
index
0.03 L.S 0.21 L.S 0.04 L.S 0.07 L.S 0.26 L.S 2.79 S.S
Iron/Calcium
Ratio
7.17 H.S 1.74 H.S 4.91 H.S 4.84 H.S 2.12 H.S 1.20 H.S
Silica
Aluminum
Ratio
2.48 M.S 1.88 M.S 2.42 M.S 3.21 H.S 2.96 H.S 2.17 H.S
Sodium Oxide 0.60 L.S 0.80 L.S 0.10 L.S 0.15 L.S 0.40 L.S 0.03 L.S
Sodium and
Potassium
oxide
1.80 L.S 1.70 L.S 0.80 L.S 1.73 L.S 1.50 L.S 0.98 L.S
Iron oxide 4.30 L.S 18.60 M.S 5.90 L.S 8.23 L.S 7.20 L.S 18.89 M.S
C.I Conventional indices, L.S low slagging, M.S medium slagging, H.S high slagging and
S.S Severe slagging, D.S Degree of Slagging
Analytical Tool for Analysing Slagging Characteristic of High Ash Coals in Utility Boilers
http://www.iaeme.com/IJMET/index.asp 188 editor@iaeme.com
3.1. Base to Acid Ratio (B/A)
The base-to acid ratio is the ratio of total base to total acid components in the coal ash. Since
it is a ratio, its lower limit can approach but never be zero and its upper limit approach to
infinity. It is generally used only in the range of 0.1 to 1. The base-to acid ratio has been
empirically correlated with ash melting, viscosity properties and other problems.
(B/A) = Fe2O3+CaO+MgO+Na2O+K2O/SiO2+Al2O3+TiO2 (1)
3.2. Slagging Factor Rs
The B/A ratio provides an indication of the melting point and viscosity of the slag while %
Sulphur gives an indication of the quantity of pyritic iron present which influences the state of
oxidation of the iron in the slag and thus its plastic range. The overall RS parameter has no
theoretical basis, however it develops report that it gives a reasonable correlation with the
slagging problems, particularly for dry bottom furnaces.
Rs = B/A x Sulphur % in dry coal (2)
3.3. Iron Oxide to Calcium Oxide Ratio
The iron oxide to calcium oxide ratio is the ratio of iron present in the ash calculated as
Fe2O3 divided by the percentage of calcium calculated as CaO. This parameter is used as an
indicator of furnace slagging in dry bottom furnaces.
= Fe2O3 / CaO (3)
3.4. Silica to Alumina Ratio
The Silica-to-Alumina ratio is the %SiO2 in the ash divided by % Al2O3 in the Ash.
= SiO2 / Al2O3 (4)
3.5. Sodium Content of Coal Ash
Sodium oxide contributes to corrosion and slagging and is one of the parameter used to judge
the slagging potential problem. Some forms of sodium in coal are vaporized in the flame and
condense out on heating surfaces of the furnace producing alkali-matrix deposits. Since the
quantity of sodium that can be vaporized per unit of coal burned is a function of the total ash
content and of the form in which the sodium is present, additional information on the coal
source is needed for proper interpretation of results.
3.6. Sodium to Potassium Ratio
The sodium-to-potassium ratio is the molar ratio of Na2O to K2O in the coal. It is most useful
when determined on actual convection section deposits.
= Na2O / K2O (5)
3.7. Iron Oxide
The presence of high iron oxide content in coal ash leads to slagging in radiative heat transfer
section in boiler.
J. John Christy Vijay, A. Lawrence and G. Arthanareeswaran
http://www.iaeme.com/IJMET/index.asp 189 editor@iaeme.com
4. INFLUENCE OF CALORIFIC VALUE BY ASH AND MOISTURE
CONTENTS IN COAL
Figure 1 shows that, if we have a certain correlation among ash content, moisture and calorific
value then it is easy to relate coal quality with slagging propensity index. The calorific value
has a linear dependence on the ash content in coal. However the results matches with medium
moisture samples, but the error was big in case of smaller moisture and bigger than medium
moisture coals samples. According to this situation, we have to consider moisture data for
determination of slagging propensities.
Figure 1 Correlation between Gross Calorific Value and Sum of Ash and Moisture contents in coal
samples
5. ASH FUSION TEST (AFT) STUDIES
Ash fusion temperatures are determined in order to provide an indication of how the mineral
matter in coal may behave in the furnace. The standard AFT was carried out to determine the
initial deformation temperature, softening temperature, hemispherical temperature and fluid
temperature and the ash fusibility temperatures are shown in Table 5.
Table 5 Ash fusion test studies for the coal ash samples
Parameters Unit A B C D E F
Initial Deformation
Temp.
Deg. C 1450 1220 1450 1340 1264 1229
Softening Temp. Deg. C 1450 1275 1450 1445 1316 1242
Hemispherical
Temp.
Deg. C 1450 1283 1450 1450 1385 1251
Fluid Temp. Deg. C 1450 1301 1450 1450 1435 1281
5.1. Initial Deformation Temperature
Initial deformation temperature is the temperature at which a prepared standard cone of ash
just begins to fuse or show evidence of deformation at the top of the cone as it is being to
heated in a standard test furnace. This would correspond to the temperature in the operating
furnace at which the particles of the coal ash, in transit through the furnace, have been cooled
to a point where they still retain a slight tendency to stick together or slowly to build upon
heat-adsorption surfaces. When the temperatures in an operating furnace are such that the ash
Analytical Tool for Analysing Slagging Characteristic of High Ash Coals in Utility Boilers
http://www.iaeme.com/IJMET/index.asp 190 editor@iaeme.com
particles have cooled to a temperature lower than their initial deformation temperature, they
tend to accumulate as a “dry” product.
5.2. Softening Temperature
The softening temperature corresponds to an observed condition between initial deformation
and fluidity. Softening temperature is the temperature at which the test under observation has
deformed to a spherical form where height is equal to width.
5.3. Hemispherical Temperature
The hemispherical temperature is read when the cone has further deformed to the point where
it assumes a hemispherical shape and its height equals one half of its width. Both softening
and Hemispherical temperature are related to appoint at which the fuel shows a greatly
accelerated tendency to mass together and stick in large quantities to heat-absorbing surfaces.
5.4. Fluid Temperature
The fluid temperature is the temperature at which the test cones flattens out to a pancake
shape on the plaque. The fluid temperature is related to the temperature at which the coal ash
may be expected to flow ion streams or drip from heat-absorption surfaces or the temperature
at which heavy clinker forms on the grates under a fuel bed.
6. THERMOMECHANICAL ANALYSIS (TMA) STUDIES
TMA is used to determine the linear thermal expansion of the coal-ash as a function of
temperature. A small constant load acts on the coal specimen which is used to measure the
expansion and thereby co-efficient of linear thermal expansion is determined. The first
heating phase yields information about the actual state of the coal-ash, including its thermal
and mechanical history. When the thermoplastics soften, stress may relax as a result of which
post crystallization and recrystallization processes may occur. On the other hand, specimen
with deform for the load applied.
6.1. Experimental Studies
Figure 2 Description of TMA test
Thermo-mechanical analysis measures linear or volumetric changes in the dimensions of
the sample as a function of time, temperature and force in a controlled atmosphere. Thermo
mechanical analyzer of SETRAM make Model Setsys-18 with resolution of 0.004micron is
Alumina lid
Ash
pellet
Alumina
crucible
Heating Shrinkage
J. John Christy Vijay, A. Lawrence and G. Arthanareeswaran
http://www.iaeme.com/IJMET/index.asp 191 editor@iaeme.com
used. The representative raw coal sample was crushed and fine grounded in a mini pulveriser
to pass through 200 mesh (75 microns) similar to the pulverized coal. The –-200 mesh coal
sample was heated in a furnace at 900°C to completely burnout the combustible matter. About
500 mg of the residual ash is mixed with 2 drops of 10% dextrin solution and pressed into
pellet of the size (7mm x 5 mm dia) in a specially designed pelletizer by applying constant
pressure. The ash pellet is dried in an oven at 100°C and the height of the pellet is measured
to an accuracy of 0.01 mm. The ash pellet is placed in an alumina crucible of 6.8 mm dia and
a suitable alumina disc (cover) is placed over the top of the pellet as shown in the Fig. 2
The whole sample assembly is placed between the push rod and the sample holder in the
TMA instrument and inserted into the furnace. Adjustments are done in such a way that the
push rod just rests on the alumina cover and 10g load is applied on the push rod and the
displacement of the push rod is targeted to “zero”. The actual length of the ash pellet is fed
into the computer as input.
The furnace is heated at the rate of 10°C per minute from room temperature to 1400°C in
nitrogen atmosphere. The ash pellet undergoes dimensional changes as it is heated. The
displacement of the push rod, i.e, shrinkage pattern, time and temperature are recorded
continuously. At the end of the run, the absolute shrinkage%, as well as the rate of shrinkage
%/min are plotted against temperature. Under the standard experimental conditions, the
repeatability has been found to be good, with peaks in derivative curves being reproducible to
within about 5°C. Whenever there was a steep drop in the 2nd stage shrinkage at temperatures
≤ 1200°C the heating of crucible was limited to 1300° C in order to protect the alumina push
rod from being fused with the ash melt.
6.2. Shrinkage Curves based on TMA
The review of shrinkage curves of all coal ashes shows that different stages of shrinkage
pattern have been occurring, when the ash pellet is subjected to heating from ambient to 1400
oC. The first stage of shrinkage of less than 2 to 3 % is observed for all the coal ashes around
the temperature range of 800oC to 1000oC. The second stage of shrinkage of 5 to 40% range
appears to be a prominent phase observed in almost all coal ashes within the short temperature
range of 1150 oC to 1350 oC. The different stages of shrinkage, representing the various
events are clearly exhibited by the peaks on the differential curve (rate of shrinkage). The
temperatures with respect to specific amount of shrinkage can be derived from TMA curve.
The initial stage of shrinkage or the first derivative peak occurs at temperatures less than 1000
oC in all the samples, which may probably be primarily due to particle deformation rounding
of corners and secondarily due to sintering. As the temperature increases, more particles
become fully molten depending on the mineral phase changes and the proportion of liquid
formation increases significantly exhibiting the steep rise in the rate of shrinkage as shown by
the second peak.
It is important to note that all the conventional slagging indices namely percentage iron
oxide, base to acid ratio, slagging index based on AFT, silica ratio and viscosity are ultimately
linked to liquid formation tendencies of the ash. It is well established that the buildup of ash
deposit on waterwalls is dependent on the ash particle remaining partially in the liquid stage
on arrival at the tube surface. Analysing the shrinkage curves of TMA analysis, the 2nd peak
is significant since it captures major portion of shrinkage occurring due to liquid formation in
ash. Though the maximum rate of shrinkage is observed to be different for different coal
ashes and the temperature at which the peak rate of shrinkage is also observed to be varying
between coal ashes. In order to rationalize the above two characteristic data namely, peak
shrinkage rate and temperature corresponding to the peak rate are normalized by dividing the
rate by temperature to arrive at relative shrinkage rate for all the coal ashes. In spite of having
Analytical Tool for Analysing Slagging Characteristic of High Ash Coals in Utility Boilers
http://www.iaeme.com/IJMET/index.asp 192 editor@iaeme.com
higher relative shrinkage rate of the ash, the quantum of ash or concentration of ash particle in
the furnace also matters. If it is less for corresponding coal the overall effect of slagging in the
furnace dynamic condition may not be significant. On the other hand if both the relative
shrinkage rate and quantum of ash are high then, there will be a pronounced synergistic effect
on slag formation.
6.3. Formulation of New Slagging Index
In order rationalize different peak shrinkage rate (Rm) and the temperature corresponding to
the peak rate (Tm) for different coal ashes, the same is been normalized by dividing the
Shrinkage rate by temperature to arrive a relative shrinkage rate. It is worthwhile to consider
the concentration of the ash particles or the ash content in coal because the overall effect of
the slagging depends upon the percentage of ash in the coal.
Based on the above new Slagging Index,
SINew = Rm Ash 10 7
(6)
Tm GCV
Rm - Maximum rate of shrinkage for the second peak
Tm - Temperature corresponding to Rm
Rm/Tm - Relative shrinkage rate
Ash - Ash in percentage
GCV - Calorific value of coal in Kcal/Kg
Based on the above slagging index by TMA for the coal ash samples, Table 6 shows the
slagging performance prediction with power plant performance.
Table 6 Slagging prediction based on TMA and validation with power plant performance
Coal
Relative
Shrinkage Rate
(Rm/Tm)
10 -5
Ash per
million Kcal
g x 10 3
New Slagging
Index
SINew
(6)
Power plant
Performance
A 48.60 173.16 84.11 Slagging
B 641.40 7.98 51.22 No Slagging
C 51.20 85.26 43.64 No Slagging
D 82.30 129.42 106.49 Slagging
E 280.10 38.96 109.13 Slagging
F 275.60 5.04 13.89 No Slagging
7. RESULTS AND DISCUSSIONS
There is positive correlation between the new slag index and actual observation made in a few
higher capacity boilers. The field data indicated slagging tendency for coals having slag index
more than 80. The data also reveals that if either of the parameters ie, relative shrinkage rate
or ash in g per million kcal alone is very low comparatively for a particular coal then that coal
is not likely to exhibit slagging eg coal-C. It is very clear that slagging in boiler furnaces
depends on the combined effect of the liquid forming tendency of the ash, temperatures
experienced in furnaces and ash loading. It is also evident from the Table-4 that the indices
derived from chemical composition do not reliably correlate with the power plant
performance. Slagging index based on ash fusion temperatures, which was carried out for coal
ashes also do not reliably reflect the power plant thermal observation with respect to slagging.
The proposed new index takes into account both the liquid forming tendency of the ash ie,
the relative shrinkage data from TMA of the ash as well as ash loading ie, weight of ash per
J. John Christy Vijay, A. Lawrence and G. Arthanareeswaran
http://www.iaeme.com/IJMET/index.asp 193 editor@iaeme.com
million kcal derived from proximate and calorific value. The conventional slagging indices
that are derived from Ash fusion temperatures and chemical compositions of ash do not take
into account the ash loading of high ash coals and hence conventional indices are not reliably
correlating with actual performance. The new slagging index provides a better tool for
assessing boiler slagging than the conventional indices derived from chemical composition of
ash and ash fusion temperatures.
It is well known fact that the slagging phenomena in boilers not only depends on coal
quality but also the boiler design such as volumetric heat loading and operational regimes like
excess air, fineness of coal particles etc. However, for a given boiler, the boiler-operating
regime cannot be adjusted beyond certain range to alleviate slagging without compromising
on combustion efficiency if the coal exhibits very high slagging index. For a given new coal,
proper sizing of boiler furnace can be done, based on the comparison of new slagging index of
the coal against a reference coal for which the correlation between slagging index and power
plant performance is well understood.
7.1. Coal-Ash A, D and E
The relative shrinkage rate of ash and ash content in coals are varying between moderate to
high and hence due to the combined effect of the liquid forming tendency and high ash
loading, the effect on slagging is high and same matches with power plant performance.
Figure 3 Shrinkage % and rate of shrinkage%/min of coal-ash A
Figure 4 Shrinkage % and rate of shrinkage%/min of coal-ash D
Analytical Tool for Analysing Slagging Characteristic of High Ash Coals in Utility Boilers
http://www.iaeme.com/IJMET/index.asp 194 editor@iaeme.com
Figure 5 Shrinkage % and rate of shrinkage%/min of coal-ash E
7.2. Coal-Ash B and F
High Iron oxide content of the ash shows high slagging nature as per the conventional indices.
Though the relative shrinkage rate of coal ashes is high, the ash content in is low and hence it
is less propensity towards slagging.
Figure 6 Shrinkage % and rate of shrinkage%/min of coal-ash B
Figure 7 Shrinkage % and rate of shrinkage%/min of coal-ash F
J. John Christy Vijay, A. Lawrence and G. Arthanareeswaran
http://www.iaeme.com/IJMET/index.asp 195 editor@iaeme.com
7.3. Coal-Ash C
The relative shrinkage rate of ash and ash loading in the furnace is moderate, hence there is
less effect on slag formation and same matches with power plant performance.
Figure 8 Shrinkage % and rate of shrinkage%/min of coal-ash C
8. CONCLUSION
1. The development of new methodology of calculating slagging index based on
maximum shrinkage rates measured in a Thermo-Mechanical Analyser (TMA) offers a
reliable correlation with the reported slagging intensities in the power plant.
2. The new index based on TMA is found to be a better predictive tool for assessing
boiler slagging than conventional indices derived from chemical composition of ash and ash
fusion temperatures.
3. The work described in this paper though with the limited data, has provided a
foundation for a comprehensive coal quality research program for characterization towards
better slagging potential prediction.
9. ACKNOWLEDGEMENT
The authors are thankful to Mr K Ravishankar and Mr S Thiagarajan of Engineering / Fossil
Boiler from BHEL Tiruchirappalli, India for providing support and necessary facilities for the
preparation of the paper.
REFERENCES
[1] T. Ctvrtnickova, M.P Mateo, A. Yanez, G. Nicolas, Application of LIBS and TMA for the
determination of combustion predictive indices of coals and coal blends, Applied surface
Sci. 257(2011) 5447-5451
[2] A. Lawrence, R. Kumar, K.Nandakumar,K. Narayanan, A novel tool for assessing
slagging propensity of coals in PF Boilers, Fuel 87 (2008) 946-950
[3] RE Barrette, JM Murin, GA Mack, JP Dimmer, Evaluating slagging and fouling
parameters presented at the fall meeting of the American flame research committee, 1983
[4] RP Gupta and TF Wall, Mineral matter in coal and ash deposits particle-Advanced
characterization Techniques. Coal and coal combustion in Utility Boiler, New Delhi; 1999
[5] G Couch, Understanding slagging and fouling during PF combustion, IEA report, August
1994
Analytical Tool for Analysing Slagging Characteristic of High Ash Coals in Utility Boilers
http://www.iaeme.com/IJMET/index.asp 196 editor@iaeme.com
[6] TF Wall,RA Creelman,RP Gupta,C Coin, A Lowe, Coal ash fusion temperatures-New
characterization techniques and implication for slagging and fouling, progress in Energy
combustion 24(1998) 345-353
[7] E Raask, Mineral impurities in coal combustion, Behaviour problems and Remedial
measures, Hemisphere Publishing Corporation, New York, 1985.
[8] R Hatt,Correlating the slagging of a utility boiler with coal characteristics, in: L Baxter, R
Desollar (Eds), Applications of Advanced Technology to Ash-related problems in Boiler.
Proceedings of the Engineering Foundation Conference, Waterville Valley, New
Hampshire, 1995, pp 237-244
[9] George kostakis, Mineralogical composition of boiler fouling and slagging deposits and
their relation to fly ashes, Journal of Hazardous materials 185(2011) 1012-1018
[10] Qingyan Fang,Huajian Wang, “Numerical simulations of slagging characteristics in
a down-fired pulverized coal boiler furnace” fuel processing technology 91(2010)88-96
[11] Harun Bilirgen, Slagging in PC boilers and developing mitigation strategies, fuels
115(2014)618-624
[12] Panagiotidis,K Vafiadis,A.Tourlidakis,A.Tomboulides, Study of slagging and fouling
mechanisms in a lignite-fired power plant, applied thermal engineering 74(2014)156-164
[13] S.M Limos-Martinez, K.Watanabe, Slagging and fouling characteristics of Philippines
coal, fuel 85(3) 2006 306-314
[14] M.U Degereji,D.B Ingham,L.Ma M. Pourkashanian,A.Wiliams, Numerical assessment of
slagging potential in pulverised coal boilers, fuel 102 (2012) 345-353
[15] Hiroshi Naganuma, Nobuya ikeda, Takayuki kawai, Ash deposition in pulverized coal
fired boiler,proceedings of the combustion institute 32 (2009) 2709-2716
[16] Hari B.Vuthaluru, Nilesh Kotadiya, Rupa Vuthaluru, David French, Identification of
clinker formation regions in large scale utility boilers, applied thermal engineering 31
(2011) 1368-1380
[17] M.Xu,X He J.L.T Azevedo,M.G Carvalho, Assess fouling and slagging in coal fired
boilers, international journal of energy research 26 (14) (2002) 1221-1236
[18] LL Baxter, R.W Desollar, A description of ash deposition during pulverised coal
combustion-prediction compared with observations, fuel 72 (10) (1993) 1411-1418
[19] Zhanhua Ma,Felicia Iman,Pisi Lu,Rod sears,Lingbu Kong,A.S Rokanuzzaman Donald
P,Mccollor,steven A. Benson, A comprehensive slagging and fouling prediction tool for
coal-fired boilers and its validation/application, fuel processing technology 88 (2007)
1035-1043
[20] Vasquez, Z Ma S.A Benson, Advanced prediction tools for ash formation and deposition
in coal-fired boiler, Clearwater April 18-22 2004, The Clearwater coal conference,
Florida, USA
[21] A.Selwin Mich Priyadharson and T.R.Rangaswamy, Cascaded Fuzzy Controller
Scheme for Combustion Control of a Utility Boiler Using Control Balance Model.
International Journal of Electrical Engineering and Technology (IJEET).2 (2),
2011, pp. 42-53.
[22] Shreenath, Ramakrishna Hegde and Gangadhar Sheri. Technologies of Sulphur
Dioxide Reduction in Coal Fired Thermal Power Plant. International Journal of
Mechanical Engineering and Technology, 5 (9), 2014, pp. 206-212

More Related Content

What's hot

Recycling of iron & steel
Recycling of iron & steelRecycling of iron & steel
blast furnace, done by ahan m r , delhi public school bangalore
  blast furnace, done by ahan m r , delhi public school bangalore  blast furnace, done by ahan m r , delhi public school bangalore
blast furnace, done by ahan m r , delhi public school bangaloreAhan M R
 
Production of iron and steel
Production of iron and steelProduction of iron and steel
Production of iron and steel
temkin abdlkader
 
Surface treatments
Surface treatmentsSurface treatments
Surface treatments
sree aero
 
Corrosion
CorrosionCorrosion
Corrosion
sankar n
 
Reheating Furnace in Rolling Mill Industries
Reheating  Furnace in Rolling Mill IndustriesReheating  Furnace in Rolling Mill Industries
Reheating Furnace in Rolling Mill Industries
Vikas Yadav
 
Sulfuric Acid Plant - DOSTEL, Turkey
Sulfuric Acid Plant - DOSTEL, TurkeySulfuric Acid Plant - DOSTEL, Turkey
Sulfuric Acid Plant - DOSTEL, Turkey
Nuberg Engineering
 
Secondary steel making
Secondary steel making Secondary steel making
Secondary steel making
Abhishek Kumar
 
Blast furnace presentation
Blast furnace presentation Blast furnace presentation
Blast furnace presentation
Muzzamil Eatoo
 
Troubleshooting of Packed Distillation Column
Troubleshooting of Packed Distillation ColumnTroubleshooting of Packed Distillation Column
Troubleshooting of Packed Distillation Column
Pankaj Khandelwal
 
TALAT Lecture 3207: Solidification Defects in Castings
TALAT Lecture 3207: Solidification Defects in CastingsTALAT Lecture 3207: Solidification Defects in Castings
TALAT Lecture 3207: Solidification Defects in Castings
CORE-Materials
 
Non - Ferrous Extraction of Metals Lecture Notes
Non - Ferrous Extraction of Metals Lecture NotesNon - Ferrous Extraction of Metals Lecture Notes
Non - Ferrous Extraction of Metals Lecture Notes
FellowBuddy.com
 
Indian Rail Steel- Pearlitic and Bainitic Rails and comparision
Indian Rail Steel- Pearlitic and Bainitic Rails and comparisionIndian Rail Steel- Pearlitic and Bainitic Rails and comparision
Indian Rail Steel- Pearlitic and Bainitic Rails and comparision
Mukuldev Khunte
 
Lean Iron Ore Beneficiation in India
Lean Iron Ore Beneficiation in IndiaLean Iron Ore Beneficiation in India
Lean Iron Ore Beneficiation in India
Krishna Kumar Sharma
 
Sponge Iron Industry
Sponge Iron IndustrySponge Iron Industry
Sponge Iron Industry
susmitadasgupta
 
Proximate & ultimate analysis of coal
Proximate & ultimate analysis of coalProximate & ultimate analysis of coal
Proximate & ultimate analysis of coal
Ashish Kumar Jain
 
Iron Making Lecture Notes
Iron Making Lecture NotesIron Making Lecture Notes
Iron Making Lecture Notes
FellowBuddy.com
 
ladle furnace metallurgy.pdf
ladle furnace metallurgy.pdfladle furnace metallurgy.pdf
ladle furnace metallurgy.pdf
Kerri Zhang
 
Presentation ''Production of aluminum''
Presentation ''Production of aluminum''Presentation ''Production of aluminum''
Presentation ''Production of aluminum''
Thanos Paraschos
 

What's hot (20)

Recycling of iron & steel
Recycling of iron & steelRecycling of iron & steel
Recycling of iron & steel
 
blast furnace, done by ahan m r , delhi public school bangalore
  blast furnace, done by ahan m r , delhi public school bangalore  blast furnace, done by ahan m r , delhi public school bangalore
blast furnace, done by ahan m r , delhi public school bangalore
 
Production of iron and steel
Production of iron and steelProduction of iron and steel
Production of iron and steel
 
Surface treatments
Surface treatmentsSurface treatments
Surface treatments
 
Corrosion
CorrosionCorrosion
Corrosion
 
Reheating Furnace in Rolling Mill Industries
Reheating  Furnace in Rolling Mill IndustriesReheating  Furnace in Rolling Mill Industries
Reheating Furnace in Rolling Mill Industries
 
Sulfuric Acid Plant - DOSTEL, Turkey
Sulfuric Acid Plant - DOSTEL, TurkeySulfuric Acid Plant - DOSTEL, Turkey
Sulfuric Acid Plant - DOSTEL, Turkey
 
Secondary steel making
Secondary steel making Secondary steel making
Secondary steel making
 
Smelting furnaces
Smelting furnacesSmelting furnaces
Smelting furnaces
 
Blast furnace presentation
Blast furnace presentation Blast furnace presentation
Blast furnace presentation
 
Troubleshooting of Packed Distillation Column
Troubleshooting of Packed Distillation ColumnTroubleshooting of Packed Distillation Column
Troubleshooting of Packed Distillation Column
 
TALAT Lecture 3207: Solidification Defects in Castings
TALAT Lecture 3207: Solidification Defects in CastingsTALAT Lecture 3207: Solidification Defects in Castings
TALAT Lecture 3207: Solidification Defects in Castings
 
Non - Ferrous Extraction of Metals Lecture Notes
Non - Ferrous Extraction of Metals Lecture NotesNon - Ferrous Extraction of Metals Lecture Notes
Non - Ferrous Extraction of Metals Lecture Notes
 
Indian Rail Steel- Pearlitic and Bainitic Rails and comparision
Indian Rail Steel- Pearlitic and Bainitic Rails and comparisionIndian Rail Steel- Pearlitic and Bainitic Rails and comparision
Indian Rail Steel- Pearlitic and Bainitic Rails and comparision
 
Lean Iron Ore Beneficiation in India
Lean Iron Ore Beneficiation in IndiaLean Iron Ore Beneficiation in India
Lean Iron Ore Beneficiation in India
 
Sponge Iron Industry
Sponge Iron IndustrySponge Iron Industry
Sponge Iron Industry
 
Proximate & ultimate analysis of coal
Proximate & ultimate analysis of coalProximate & ultimate analysis of coal
Proximate & ultimate analysis of coal
 
Iron Making Lecture Notes
Iron Making Lecture NotesIron Making Lecture Notes
Iron Making Lecture Notes
 
ladle furnace metallurgy.pdf
ladle furnace metallurgy.pdfladle furnace metallurgy.pdf
ladle furnace metallurgy.pdf
 
Presentation ''Production of aluminum''
Presentation ''Production of aluminum''Presentation ''Production of aluminum''
Presentation ''Production of aluminum''
 

Viewers also liked

EFFECT OF SURFACE ROUGHNESS ON CHARACTERISTICS OF SQUEEZE FILM BETWEEN POROUS...
EFFECT OF SURFACE ROUGHNESS ON CHARACTERISTICS OF SQUEEZE FILM BETWEEN POROUS...EFFECT OF SURFACE ROUGHNESS ON CHARACTERISTICS OF SQUEEZE FILM BETWEEN POROUS...
EFFECT OF SURFACE ROUGHNESS ON CHARACTERISTICS OF SQUEEZE FILM BETWEEN POROUS...
IAEME Publication
 
COMPARATIVE EMISSION ANALYSIS OF CNG AND OCTANE IN RETROFITTED CAR ENGINES
COMPARATIVE EMISSION ANALYSIS OF CNG AND OCTANE IN RETROFITTED CAR ENGINESCOMPARATIVE EMISSION ANALYSIS OF CNG AND OCTANE IN RETROFITTED CAR ENGINES
COMPARATIVE EMISSION ANALYSIS OF CNG AND OCTANE IN RETROFITTED CAR ENGINES
IAEME Publication
 
PERFORMANCE OF 3-D POLAR WEAVE CARBON-CARBON COMPOSITES IN HIGH THERMAL EROSI...
PERFORMANCE OF 3-D POLAR WEAVE CARBON-CARBON COMPOSITES IN HIGH THERMAL EROSI...PERFORMANCE OF 3-D POLAR WEAVE CARBON-CARBON COMPOSITES IN HIGH THERMAL EROSI...
PERFORMANCE OF 3-D POLAR WEAVE CARBON-CARBON COMPOSITES IN HIGH THERMAL EROSI...
IAEME Publication
 
COMBUSTION MONITORING THROUGH VIBRATIONAL DATA IN A TURBOCHARGED CITY CAR ENGINE
COMBUSTION MONITORING THROUGH VIBRATIONAL DATA IN A TURBOCHARGED CITY CAR ENGINECOMBUSTION MONITORING THROUGH VIBRATIONAL DATA IN A TURBOCHARGED CITY CAR ENGINE
COMBUSTION MONITORING THROUGH VIBRATIONAL DATA IN A TURBOCHARGED CITY CAR ENGINE
IAEME Publication
 
DESIGN AND DEVELOPMENT OF SPECIAL PURPOSE MACHINE USING HYDROPNEUMATIC CYLIND...
DESIGN AND DEVELOPMENT OF SPECIAL PURPOSE MACHINE USING HYDROPNEUMATIC CYLIND...DESIGN AND DEVELOPMENT OF SPECIAL PURPOSE MACHINE USING HYDROPNEUMATIC CYLIND...
DESIGN AND DEVELOPMENT OF SPECIAL PURPOSE MACHINE USING HYDROPNEUMATIC CYLIND...
IAEME Publication
 
QUALITY CONTROL AND SAFETY DURING CONSTRUCTIONIjmet 08 03_012
QUALITY CONTROL AND SAFETY DURING CONSTRUCTIONIjmet 08 03_012QUALITY CONTROL AND SAFETY DURING CONSTRUCTIONIjmet 08 03_012
QUALITY CONTROL AND SAFETY DURING CONSTRUCTIONIjmet 08 03_012
IAEME Publication
 
COMPRESSIVE STRENGTH AND CARBONATION OF SEA WATER CURED BLENDED CONCRETE
COMPRESSIVE STRENGTH AND CARBONATION OF SEA WATER CURED BLENDED CONCRETE COMPRESSIVE STRENGTH AND CARBONATION OF SEA WATER CURED BLENDED CONCRETE
COMPRESSIVE STRENGTH AND CARBONATION OF SEA WATER CURED BLENDED CONCRETE
IAEME Publication
 
COMPARATIVE EMISSION ANALYSIS OF CNG AND OCTANE IN RETROFITTED CAR ENGINES
COMPARATIVE EMISSION ANALYSIS OF CNG AND OCTANE IN RETROFITTED CAR ENGINESCOMPARATIVE EMISSION ANALYSIS OF CNG AND OCTANE IN RETROFITTED CAR ENGINES
COMPARATIVE EMISSION ANALYSIS OF CNG AND OCTANE IN RETROFITTED CAR ENGINES
IAEME Publication
 
FLUID FLOW ANALYSIS IN AIR DUCT FLOW WITH AND WITHOUT INTERNAL THREADS USING ...
FLUID FLOW ANALYSIS IN AIR DUCT FLOW WITH AND WITHOUT INTERNAL THREADS USING ...FLUID FLOW ANALYSIS IN AIR DUCT FLOW WITH AND WITHOUT INTERNAL THREADS USING ...
FLUID FLOW ANALYSIS IN AIR DUCT FLOW WITH AND WITHOUT INTERNAL THREADS USING ...
IAEME Publication
 
COMPARATIVE STUDY ON BIOGAS PRODUCTION FROM COW DUNG, FOOD WASTE AND ORGANIC ...
COMPARATIVE STUDY ON BIOGAS PRODUCTION FROM COW DUNG, FOOD WASTE AND ORGANIC ...COMPARATIVE STUDY ON BIOGAS PRODUCTION FROM COW DUNG, FOOD WASTE AND ORGANIC ...
COMPARATIVE STUDY ON BIOGAS PRODUCTION FROM COW DUNG, FOOD WASTE AND ORGANIC ...
IAEME Publication
 
DESIGN AND ANALYSIS OF GATE VALVE BODY AND SEAT RING
  DESIGN AND ANALYSIS OF GATE VALVE BODY AND SEAT RING  DESIGN AND ANALYSIS OF GATE VALVE BODY AND SEAT RING
DESIGN AND ANALYSIS OF GATE VALVE BODY AND SEAT RING
IAEME Publication
 
DESIGN AND FABRICATION OF MATERIAL HANDLING ROBOT FOR MULTI STATION
DESIGN AND FABRICATION OF MATERIAL HANDLING ROBOT FOR MULTI STATIONDESIGN AND FABRICATION OF MATERIAL HANDLING ROBOT FOR MULTI STATION
DESIGN AND FABRICATION OF MATERIAL HANDLING ROBOT FOR MULTI STATION
IAEME Publication
 
GEOPOLYMER CONCRETE WITH SELF COMPACTING: A REVIEW
GEOPOLYMER CONCRETE WITH SELF COMPACTING: A REVIEWGEOPOLYMER CONCRETE WITH SELF COMPACTING: A REVIEW
GEOPOLYMER CONCRETE WITH SELF COMPACTING: A REVIEW
IAEME Publication
 
SEISMIC RESPONSE OF UNSYMMETRIC BUILDING WITH OPTIMALLY PLACED FRICTION DAMPERS
SEISMIC RESPONSE OF UNSYMMETRIC BUILDING WITH OPTIMALLY PLACED FRICTION DAMPERSSEISMIC RESPONSE OF UNSYMMETRIC BUILDING WITH OPTIMALLY PLACED FRICTION DAMPERS
SEISMIC RESPONSE OF UNSYMMETRIC BUILDING WITH OPTIMALLY PLACED FRICTION DAMPERS
IAEME Publication
 
CRITICAL REVIEW ON STRUCTURAL LIGHT WEIGHT CONCRETE
CRITICAL REVIEW ON STRUCTURAL LIGHT WEIGHT CONCRETE CRITICAL REVIEW ON STRUCTURAL LIGHT WEIGHT CONCRETE
CRITICAL REVIEW ON STRUCTURAL LIGHT WEIGHT CONCRETE
IAEME Publication
 
MECHANICAL PROPERTIES OF NANOIRON PARTICLES REINFORCED EPOXY/POLYESTER NANOCO...
MECHANICAL PROPERTIES OF NANOIRON PARTICLES REINFORCED EPOXY/POLYESTER NANOCO...MECHANICAL PROPERTIES OF NANOIRON PARTICLES REINFORCED EPOXY/POLYESTER NANOCO...
MECHANICAL PROPERTIES OF NANOIRON PARTICLES REINFORCED EPOXY/POLYESTER NANOCO...
IAEME Publication
 
STRENGTH CHARACTERIZATION OF GLASSCARON HYBRID REINFORCEMENTS - AN EXPERIMENT...
STRENGTH CHARACTERIZATION OF GLASSCARON HYBRID REINFORCEMENTS - AN EXPERIMENT...STRENGTH CHARACTERIZATION OF GLASSCARON HYBRID REINFORCEMENTS - AN EXPERIMENT...
STRENGTH CHARACTERIZATION OF GLASSCARON HYBRID REINFORCEMENTS - AN EXPERIMENT...
IAEME Publication
 
ANALYSIS OF RAINFALL PATTERN AND TEMPERATURE VARIATIONS IN THREE REGIONS OF S...
ANALYSIS OF RAINFALL PATTERN AND TEMPERATURE VARIATIONS IN THREE REGIONS OF S...ANALYSIS OF RAINFALL PATTERN AND TEMPERATURE VARIATIONS IN THREE REGIONS OF S...
ANALYSIS OF RAINFALL PATTERN AND TEMPERATURE VARIATIONS IN THREE REGIONS OF S...
IAEME Publication
 
STUDY OF MACRO LEVEL PROPERTIES OF SCC USING SILICA FUME AND FLY ASH BY USING...
STUDY OF MACRO LEVEL PROPERTIES OF SCC USING SILICA FUME AND FLY ASH BY USING...STUDY OF MACRO LEVEL PROPERTIES OF SCC USING SILICA FUME AND FLY ASH BY USING...
STUDY OF MACRO LEVEL PROPERTIES OF SCC USING SILICA FUME AND FLY ASH BY USING...
IAEME Publication
 
EXPERIMENTAL STUDY ON FLEXURAL BEHAVIOURS OF ECC AND CONCRETE COMPOSITE REINF...
EXPERIMENTAL STUDY ON FLEXURAL BEHAVIOURS OF ECC AND CONCRETE COMPOSITE REINF...EXPERIMENTAL STUDY ON FLEXURAL BEHAVIOURS OF ECC AND CONCRETE COMPOSITE REINF...
EXPERIMENTAL STUDY ON FLEXURAL BEHAVIOURS OF ECC AND CONCRETE COMPOSITE REINF...
IAEME Publication
 

Viewers also liked (20)

EFFECT OF SURFACE ROUGHNESS ON CHARACTERISTICS OF SQUEEZE FILM BETWEEN POROUS...
EFFECT OF SURFACE ROUGHNESS ON CHARACTERISTICS OF SQUEEZE FILM BETWEEN POROUS...EFFECT OF SURFACE ROUGHNESS ON CHARACTERISTICS OF SQUEEZE FILM BETWEEN POROUS...
EFFECT OF SURFACE ROUGHNESS ON CHARACTERISTICS OF SQUEEZE FILM BETWEEN POROUS...
 
COMPARATIVE EMISSION ANALYSIS OF CNG AND OCTANE IN RETROFITTED CAR ENGINES
COMPARATIVE EMISSION ANALYSIS OF CNG AND OCTANE IN RETROFITTED CAR ENGINESCOMPARATIVE EMISSION ANALYSIS OF CNG AND OCTANE IN RETROFITTED CAR ENGINES
COMPARATIVE EMISSION ANALYSIS OF CNG AND OCTANE IN RETROFITTED CAR ENGINES
 
PERFORMANCE OF 3-D POLAR WEAVE CARBON-CARBON COMPOSITES IN HIGH THERMAL EROSI...
PERFORMANCE OF 3-D POLAR WEAVE CARBON-CARBON COMPOSITES IN HIGH THERMAL EROSI...PERFORMANCE OF 3-D POLAR WEAVE CARBON-CARBON COMPOSITES IN HIGH THERMAL EROSI...
PERFORMANCE OF 3-D POLAR WEAVE CARBON-CARBON COMPOSITES IN HIGH THERMAL EROSI...
 
COMBUSTION MONITORING THROUGH VIBRATIONAL DATA IN A TURBOCHARGED CITY CAR ENGINE
COMBUSTION MONITORING THROUGH VIBRATIONAL DATA IN A TURBOCHARGED CITY CAR ENGINECOMBUSTION MONITORING THROUGH VIBRATIONAL DATA IN A TURBOCHARGED CITY CAR ENGINE
COMBUSTION MONITORING THROUGH VIBRATIONAL DATA IN A TURBOCHARGED CITY CAR ENGINE
 
DESIGN AND DEVELOPMENT OF SPECIAL PURPOSE MACHINE USING HYDROPNEUMATIC CYLIND...
DESIGN AND DEVELOPMENT OF SPECIAL PURPOSE MACHINE USING HYDROPNEUMATIC CYLIND...DESIGN AND DEVELOPMENT OF SPECIAL PURPOSE MACHINE USING HYDROPNEUMATIC CYLIND...
DESIGN AND DEVELOPMENT OF SPECIAL PURPOSE MACHINE USING HYDROPNEUMATIC CYLIND...
 
QUALITY CONTROL AND SAFETY DURING CONSTRUCTIONIjmet 08 03_012
QUALITY CONTROL AND SAFETY DURING CONSTRUCTIONIjmet 08 03_012QUALITY CONTROL AND SAFETY DURING CONSTRUCTIONIjmet 08 03_012
QUALITY CONTROL AND SAFETY DURING CONSTRUCTIONIjmet 08 03_012
 
COMPRESSIVE STRENGTH AND CARBONATION OF SEA WATER CURED BLENDED CONCRETE
COMPRESSIVE STRENGTH AND CARBONATION OF SEA WATER CURED BLENDED CONCRETE COMPRESSIVE STRENGTH AND CARBONATION OF SEA WATER CURED BLENDED CONCRETE
COMPRESSIVE STRENGTH AND CARBONATION OF SEA WATER CURED BLENDED CONCRETE
 
COMPARATIVE EMISSION ANALYSIS OF CNG AND OCTANE IN RETROFITTED CAR ENGINES
COMPARATIVE EMISSION ANALYSIS OF CNG AND OCTANE IN RETROFITTED CAR ENGINESCOMPARATIVE EMISSION ANALYSIS OF CNG AND OCTANE IN RETROFITTED CAR ENGINES
COMPARATIVE EMISSION ANALYSIS OF CNG AND OCTANE IN RETROFITTED CAR ENGINES
 
FLUID FLOW ANALYSIS IN AIR DUCT FLOW WITH AND WITHOUT INTERNAL THREADS USING ...
FLUID FLOW ANALYSIS IN AIR DUCT FLOW WITH AND WITHOUT INTERNAL THREADS USING ...FLUID FLOW ANALYSIS IN AIR DUCT FLOW WITH AND WITHOUT INTERNAL THREADS USING ...
FLUID FLOW ANALYSIS IN AIR DUCT FLOW WITH AND WITHOUT INTERNAL THREADS USING ...
 
COMPARATIVE STUDY ON BIOGAS PRODUCTION FROM COW DUNG, FOOD WASTE AND ORGANIC ...
COMPARATIVE STUDY ON BIOGAS PRODUCTION FROM COW DUNG, FOOD WASTE AND ORGANIC ...COMPARATIVE STUDY ON BIOGAS PRODUCTION FROM COW DUNG, FOOD WASTE AND ORGANIC ...
COMPARATIVE STUDY ON BIOGAS PRODUCTION FROM COW DUNG, FOOD WASTE AND ORGANIC ...
 
DESIGN AND ANALYSIS OF GATE VALVE BODY AND SEAT RING
  DESIGN AND ANALYSIS OF GATE VALVE BODY AND SEAT RING  DESIGN AND ANALYSIS OF GATE VALVE BODY AND SEAT RING
DESIGN AND ANALYSIS OF GATE VALVE BODY AND SEAT RING
 
DESIGN AND FABRICATION OF MATERIAL HANDLING ROBOT FOR MULTI STATION
DESIGN AND FABRICATION OF MATERIAL HANDLING ROBOT FOR MULTI STATIONDESIGN AND FABRICATION OF MATERIAL HANDLING ROBOT FOR MULTI STATION
DESIGN AND FABRICATION OF MATERIAL HANDLING ROBOT FOR MULTI STATION
 
GEOPOLYMER CONCRETE WITH SELF COMPACTING: A REVIEW
GEOPOLYMER CONCRETE WITH SELF COMPACTING: A REVIEWGEOPOLYMER CONCRETE WITH SELF COMPACTING: A REVIEW
GEOPOLYMER CONCRETE WITH SELF COMPACTING: A REVIEW
 
SEISMIC RESPONSE OF UNSYMMETRIC BUILDING WITH OPTIMALLY PLACED FRICTION DAMPERS
SEISMIC RESPONSE OF UNSYMMETRIC BUILDING WITH OPTIMALLY PLACED FRICTION DAMPERSSEISMIC RESPONSE OF UNSYMMETRIC BUILDING WITH OPTIMALLY PLACED FRICTION DAMPERS
SEISMIC RESPONSE OF UNSYMMETRIC BUILDING WITH OPTIMALLY PLACED FRICTION DAMPERS
 
CRITICAL REVIEW ON STRUCTURAL LIGHT WEIGHT CONCRETE
CRITICAL REVIEW ON STRUCTURAL LIGHT WEIGHT CONCRETE CRITICAL REVIEW ON STRUCTURAL LIGHT WEIGHT CONCRETE
CRITICAL REVIEW ON STRUCTURAL LIGHT WEIGHT CONCRETE
 
MECHANICAL PROPERTIES OF NANOIRON PARTICLES REINFORCED EPOXY/POLYESTER NANOCO...
MECHANICAL PROPERTIES OF NANOIRON PARTICLES REINFORCED EPOXY/POLYESTER NANOCO...MECHANICAL PROPERTIES OF NANOIRON PARTICLES REINFORCED EPOXY/POLYESTER NANOCO...
MECHANICAL PROPERTIES OF NANOIRON PARTICLES REINFORCED EPOXY/POLYESTER NANOCO...
 
STRENGTH CHARACTERIZATION OF GLASSCARON HYBRID REINFORCEMENTS - AN EXPERIMENT...
STRENGTH CHARACTERIZATION OF GLASSCARON HYBRID REINFORCEMENTS - AN EXPERIMENT...STRENGTH CHARACTERIZATION OF GLASSCARON HYBRID REINFORCEMENTS - AN EXPERIMENT...
STRENGTH CHARACTERIZATION OF GLASSCARON HYBRID REINFORCEMENTS - AN EXPERIMENT...
 
ANALYSIS OF RAINFALL PATTERN AND TEMPERATURE VARIATIONS IN THREE REGIONS OF S...
ANALYSIS OF RAINFALL PATTERN AND TEMPERATURE VARIATIONS IN THREE REGIONS OF S...ANALYSIS OF RAINFALL PATTERN AND TEMPERATURE VARIATIONS IN THREE REGIONS OF S...
ANALYSIS OF RAINFALL PATTERN AND TEMPERATURE VARIATIONS IN THREE REGIONS OF S...
 
STUDY OF MACRO LEVEL PROPERTIES OF SCC USING SILICA FUME AND FLY ASH BY USING...
STUDY OF MACRO LEVEL PROPERTIES OF SCC USING SILICA FUME AND FLY ASH BY USING...STUDY OF MACRO LEVEL PROPERTIES OF SCC USING SILICA FUME AND FLY ASH BY USING...
STUDY OF MACRO LEVEL PROPERTIES OF SCC USING SILICA FUME AND FLY ASH BY USING...
 
EXPERIMENTAL STUDY ON FLEXURAL BEHAVIOURS OF ECC AND CONCRETE COMPOSITE REINF...
EXPERIMENTAL STUDY ON FLEXURAL BEHAVIOURS OF ECC AND CONCRETE COMPOSITE REINF...EXPERIMENTAL STUDY ON FLEXURAL BEHAVIOURS OF ECC AND CONCRETE COMPOSITE REINF...
EXPERIMENTAL STUDY ON FLEXURAL BEHAVIOURS OF ECC AND CONCRETE COMPOSITE REINF...
 

Similar to ANALYTICAL TOOL FOR ANALYSING SLAGGING CHARACTERISTIC OF HIGH ASH COALS IN UTILITY BOILERS

C0350312018
C0350312018C0350312018
C0350312018
theijes
 
Cm33537542
Cm33537542Cm33537542
Cm33537542
IJERA Editor
 
Cm33537542
Cm33537542Cm33537542
Cm33537542
IJERA Editor
 
IRJET-Estimation/Assessment of Oxygen Content in Copper by Metallographic Method
IRJET-Estimation/Assessment of Oxygen Content in Copper by Metallographic MethodIRJET-Estimation/Assessment of Oxygen Content in Copper by Metallographic Method
IRJET-Estimation/Assessment of Oxygen Content in Copper by Metallographic Method
IRJET Journal
 
EVALUATION OF GEOTECHNICAL PROPERTIES OF POND ASH FOR ECONOMIC ALTERNATIVE CO...
EVALUATION OF GEOTECHNICAL PROPERTIES OF POND ASH FOR ECONOMIC ALTERNATIVE CO...EVALUATION OF GEOTECHNICAL PROPERTIES OF POND ASH FOR ECONOMIC ALTERNATIVE CO...
EVALUATION OF GEOTECHNICAL PROPERTIES OF POND ASH FOR ECONOMIC ALTERNATIVE CO...
IAEME Publication
 
PRODUCTION OF ALTERNATIVE FUEL USING GASIFICATION BY SYNTHESIS OF FISCHER-TRO...
PRODUCTION OF ALTERNATIVE FUEL USING GASIFICATION BY SYNTHESIS OF FISCHER-TRO...PRODUCTION OF ALTERNATIVE FUEL USING GASIFICATION BY SYNTHESIS OF FISCHER-TRO...
PRODUCTION OF ALTERNATIVE FUEL USING GASIFICATION BY SYNTHESIS OF FISCHER-TRO...
IAEME Publication
 
IRJET-Effect of Chemical Composition on Total Carbon Equivalent in Grey Iron ...
IRJET-Effect of Chemical Composition on Total Carbon Equivalent in Grey Iron ...IRJET-Effect of Chemical Composition on Total Carbon Equivalent in Grey Iron ...
IRJET-Effect of Chemical Composition on Total Carbon Equivalent in Grey Iron ...
IRJET Journal
 
Final Design Report Steelmaking
Final Design Report SteelmakingFinal Design Report Steelmaking
Final Design Report SteelmakingDevin Rowe
 
IRJET- Quality Improvement of Ductile Iron Casting by Thermal Analysis
IRJET- Quality Improvement of Ductile Iron Casting by Thermal AnalysisIRJET- Quality Improvement of Ductile Iron Casting by Thermal Analysis
IRJET- Quality Improvement of Ductile Iron Casting by Thermal Analysis
IRJET Journal
 
Metallurgical coke
Metallurgical cokeMetallurgical coke
Metallurgical coke
Khhushbakht
 
Effect of LVOF Sprayed Coating in Oxidation & Hot Corrosion Performance of Bo...
Effect of LVOF Sprayed Coating in Oxidation & Hot Corrosion Performance of Bo...Effect of LVOF Sprayed Coating in Oxidation & Hot Corrosion Performance of Bo...
Effect of LVOF Sprayed Coating in Oxidation & Hot Corrosion Performance of Bo...
IJRES Journal
 
Mathematical Analysis of Gaseous Reduction of Fe2O3-MnO2- SiO2Mixed Oxides
Mathematical Analysis of Gaseous Reduction of Fe2O3-MnO2- SiO2Mixed OxidesMathematical Analysis of Gaseous Reduction of Fe2O3-MnO2- SiO2Mixed Oxides
Mathematical Analysis of Gaseous Reduction of Fe2O3-MnO2- SiO2Mixed Oxides
International journal of scientific and technical research in engineering (IJSTRE)
 
An examination surface morphology and in situ studies of metal
An examination surface morphology and in situ studies of metalAn examination surface morphology and in situ studies of metal
An examination surface morphology and in situ studies of metalIAEME Publication
 
Iron making
Iron makingIron making
Iron makingguddu_92
 
Corex Process in Iron Making
Corex Process in Iron MakingCorex Process in Iron Making
Corex Process in Iron Making
Aditya Singh
 
G1304033947
G1304033947G1304033947
G1304033947
IOSR Journals
 
nawtec18-3526
nawtec18-3526nawtec18-3526
nawtec18-3526sselchow
 
International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)
irjes
 
A VOCATIONAL TRAINNING REPORT_aman
A  VOCATIONAL TRAINNING REPORT_amanA  VOCATIONAL TRAINNING REPORT_aman
A VOCATIONAL TRAINNING REPORT_amanAMAN KESARI
 
Using oxygen reaction as electricity saving in electric arc
Using oxygen reaction as electricity saving in electric arcUsing oxygen reaction as electricity saving in electric arc
Using oxygen reaction as electricity saving in electric arcSirous Alaei
 

Similar to ANALYTICAL TOOL FOR ANALYSING SLAGGING CHARACTERISTIC OF HIGH ASH COALS IN UTILITY BOILERS (20)

C0350312018
C0350312018C0350312018
C0350312018
 
Cm33537542
Cm33537542Cm33537542
Cm33537542
 
Cm33537542
Cm33537542Cm33537542
Cm33537542
 
IRJET-Estimation/Assessment of Oxygen Content in Copper by Metallographic Method
IRJET-Estimation/Assessment of Oxygen Content in Copper by Metallographic MethodIRJET-Estimation/Assessment of Oxygen Content in Copper by Metallographic Method
IRJET-Estimation/Assessment of Oxygen Content in Copper by Metallographic Method
 
EVALUATION OF GEOTECHNICAL PROPERTIES OF POND ASH FOR ECONOMIC ALTERNATIVE CO...
EVALUATION OF GEOTECHNICAL PROPERTIES OF POND ASH FOR ECONOMIC ALTERNATIVE CO...EVALUATION OF GEOTECHNICAL PROPERTIES OF POND ASH FOR ECONOMIC ALTERNATIVE CO...
EVALUATION OF GEOTECHNICAL PROPERTIES OF POND ASH FOR ECONOMIC ALTERNATIVE CO...
 
PRODUCTION OF ALTERNATIVE FUEL USING GASIFICATION BY SYNTHESIS OF FISCHER-TRO...
PRODUCTION OF ALTERNATIVE FUEL USING GASIFICATION BY SYNTHESIS OF FISCHER-TRO...PRODUCTION OF ALTERNATIVE FUEL USING GASIFICATION BY SYNTHESIS OF FISCHER-TRO...
PRODUCTION OF ALTERNATIVE FUEL USING GASIFICATION BY SYNTHESIS OF FISCHER-TRO...
 
IRJET-Effect of Chemical Composition on Total Carbon Equivalent in Grey Iron ...
IRJET-Effect of Chemical Composition on Total Carbon Equivalent in Grey Iron ...IRJET-Effect of Chemical Composition on Total Carbon Equivalent in Grey Iron ...
IRJET-Effect of Chemical Composition on Total Carbon Equivalent in Grey Iron ...
 
Final Design Report Steelmaking
Final Design Report SteelmakingFinal Design Report Steelmaking
Final Design Report Steelmaking
 
IRJET- Quality Improvement of Ductile Iron Casting by Thermal Analysis
IRJET- Quality Improvement of Ductile Iron Casting by Thermal AnalysisIRJET- Quality Improvement of Ductile Iron Casting by Thermal Analysis
IRJET- Quality Improvement of Ductile Iron Casting by Thermal Analysis
 
Metallurgical coke
Metallurgical cokeMetallurgical coke
Metallurgical coke
 
Effect of LVOF Sprayed Coating in Oxidation & Hot Corrosion Performance of Bo...
Effect of LVOF Sprayed Coating in Oxidation & Hot Corrosion Performance of Bo...Effect of LVOF Sprayed Coating in Oxidation & Hot Corrosion Performance of Bo...
Effect of LVOF Sprayed Coating in Oxidation & Hot Corrosion Performance of Bo...
 
Mathematical Analysis of Gaseous Reduction of Fe2O3-MnO2- SiO2Mixed Oxides
Mathematical Analysis of Gaseous Reduction of Fe2O3-MnO2- SiO2Mixed OxidesMathematical Analysis of Gaseous Reduction of Fe2O3-MnO2- SiO2Mixed Oxides
Mathematical Analysis of Gaseous Reduction of Fe2O3-MnO2- SiO2Mixed Oxides
 
An examination surface morphology and in situ studies of metal
An examination surface morphology and in situ studies of metalAn examination surface morphology and in situ studies of metal
An examination surface morphology and in situ studies of metal
 
Iron making
Iron makingIron making
Iron making
 
Corex Process in Iron Making
Corex Process in Iron MakingCorex Process in Iron Making
Corex Process in Iron Making
 
G1304033947
G1304033947G1304033947
G1304033947
 
nawtec18-3526
nawtec18-3526nawtec18-3526
nawtec18-3526
 
International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)
 
A VOCATIONAL TRAINNING REPORT_aman
A  VOCATIONAL TRAINNING REPORT_amanA  VOCATIONAL TRAINNING REPORT_aman
A VOCATIONAL TRAINNING REPORT_aman
 
Using oxygen reaction as electricity saving in electric arc
Using oxygen reaction as electricity saving in electric arcUsing oxygen reaction as electricity saving in electric arc
Using oxygen reaction as electricity saving in electric arc
 

More from IAEME Publication

IAEME_Publication_Call_for_Paper_September_2022.pdf
IAEME_Publication_Call_for_Paper_September_2022.pdfIAEME_Publication_Call_for_Paper_September_2022.pdf
IAEME_Publication_Call_for_Paper_September_2022.pdf
IAEME Publication
 
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
IAEME Publication
 
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSA STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
IAEME Publication
 
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSBROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
IAEME Publication
 
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSDETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
IAEME Publication
 
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
IAEME Publication
 
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOVOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
IAEME Publication
 
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
IAEME Publication
 
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYVISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
IAEME Publication
 
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
IAEME Publication
 
GANDHI ON NON-VIOLENT POLICE
GANDHI ON NON-VIOLENT POLICEGANDHI ON NON-VIOLENT POLICE
GANDHI ON NON-VIOLENT POLICE
IAEME Publication
 
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
IAEME Publication
 
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
IAEME Publication
 
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
IAEME Publication
 
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
IAEME Publication
 
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
IAEME Publication
 
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
IAEME Publication
 
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
IAEME Publication
 
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
IAEME Publication
 
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTA MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
IAEME Publication
 

More from IAEME Publication (20)

IAEME_Publication_Call_for_Paper_September_2022.pdf
IAEME_Publication_Call_for_Paper_September_2022.pdfIAEME_Publication_Call_for_Paper_September_2022.pdf
IAEME_Publication_Call_for_Paper_September_2022.pdf
 
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
 
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSA STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
 
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSBROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
 
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSDETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
 
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
 
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOVOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
 
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
 
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYVISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
 
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
 
GANDHI ON NON-VIOLENT POLICE
GANDHI ON NON-VIOLENT POLICEGANDHI ON NON-VIOLENT POLICE
GANDHI ON NON-VIOLENT POLICE
 
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
 
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
 
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
 
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
 
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
 
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
 
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
 
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
 
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTA MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
 

Recently uploaded

Gen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdfGen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdf
gdsczhcet
 
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdfHybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
fxintegritypublishin
 
ethical hacking in wireless-hacking1.ppt
ethical hacking in wireless-hacking1.pptethical hacking in wireless-hacking1.ppt
ethical hacking in wireless-hacking1.ppt
Jayaprasanna4
 
Immunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary AttacksImmunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary Attacks
gerogepatton
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
R&R Consult
 
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdf
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfCOLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdf
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdf
Kamal Acharya
 
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&BDesign and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Sreedhar Chowdam
 
weather web application report.pdf
weather web application report.pdfweather web application report.pdf
weather web application report.pdf
Pratik Pawar
 
Forklift Classes Overview by Intella Parts
Forklift Classes Overview by Intella PartsForklift Classes Overview by Intella Parts
Forklift Classes Overview by Intella Parts
Intella Parts
 
Railway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdfRailway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdf
TeeVichai
 
ethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.pptethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.ppt
Jayaprasanna4
 
Planning Of Procurement o different goods and services
Planning Of Procurement o different goods and servicesPlanning Of Procurement o different goods and services
Planning Of Procurement o different goods and services
JoytuBarua2
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
VENKATESHvenky89705
 
Halogenation process of chemical process industries
Halogenation process of chemical process industriesHalogenation process of chemical process industries
Halogenation process of chemical process industries
MuhammadTufail242431
 
The Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdfThe Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdf
Pipe Restoration Solutions
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
Neometrix_Engineering_Pvt_Ltd
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
Kamal Acharya
 
Democratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek AryaDemocratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek Arya
abh.arya
 
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
MdTanvirMahtab2
 
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
AJAYKUMARPUND1
 

Recently uploaded (20)

Gen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdfGen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdf
 
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdfHybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
 
ethical hacking in wireless-hacking1.ppt
ethical hacking in wireless-hacking1.pptethical hacking in wireless-hacking1.ppt
ethical hacking in wireless-hacking1.ppt
 
Immunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary AttacksImmunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary Attacks
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
 
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdf
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfCOLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdf
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdf
 
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&BDesign and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
 
weather web application report.pdf
weather web application report.pdfweather web application report.pdf
weather web application report.pdf
 
Forklift Classes Overview by Intella Parts
Forklift Classes Overview by Intella PartsForklift Classes Overview by Intella Parts
Forklift Classes Overview by Intella Parts
 
Railway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdfRailway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdf
 
ethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.pptethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.ppt
 
Planning Of Procurement o different goods and services
Planning Of Procurement o different goods and servicesPlanning Of Procurement o different goods and services
Planning Of Procurement o different goods and services
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
 
Halogenation process of chemical process industries
Halogenation process of chemical process industriesHalogenation process of chemical process industries
Halogenation process of chemical process industries
 
The Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdfThe Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdf
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
 
Democratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek AryaDemocratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek Arya
 
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
 
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
 

ANALYTICAL TOOL FOR ANALYSING SLAGGING CHARACTERISTIC OF HIGH ASH COALS IN UTILITY BOILERS

  • 1. http://www.iaeme.com/IJMET/index.asp 185 editor@iaeme.com International Journal of Mechanical Engineering and Technology (IJMET) Volume 8, Issue 3, March 2017, pp. 185–196 Article ID: IJMET_08_03_021 Available online at http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=8&IType=3 ISSN Print: 0976-6340 and ISSN Online: 0976-6359 © IAEME Publication Scopus Indexed ANALYTICAL TOOL FOR ANALYSING SLAGGING CHARACTERISTIC OF HIGH ASH COALS IN UTILITY BOILERS J. John Christy Vijay Field Engineering Services, Bharat Heavy Electricals Limited, Trichirappalli, TN, India A. Lawrence Field Engineering Services, Bharat Heavy Electricals Limited, Trichirappalli, TN, India G. Arthanareeswaran Membrane Research Laboratory, Department of Chemical Engineering, National Institute of Technology, Trichirappalli, TN, India ABSTRACT In today’s competitive market, the performance of electric utility industry is a serious concern to the nation. Majority of power plants are Coal-Fired Power plants in India. Due to the wide variation in the quality of coal being fired, it affects the performance of the power plant like furnace wall slagging, convective pass slagging (both Low and High Temperature), soot blower effectiveness, erosion and grindability. At this juncture, a reliable prediction is needed to assess the slagging problem which in turn affects the performance parameters of power plant like heat transfer rate, exit gas temperature, surface corrosion and frequency of soot blowing. Though conventional indices and ash fusion temperature measurement techniques do not aid in predicting slagging condition with field performance hence, it is reported to be highly subjective in nature and poor accuracy. In this work an alternative approach is made based on shrinkage measurement up to 1400 °C of coal ash prepared at 800 °C. Sensitive shrinkage measurements indicate temperatures of rapid change which correspond to the formation of liquid phases. A preliminary evaluation of shrinkage data for coal ash collected at different power stations firing wide variety of coal indicates that, the shrinkage profiles of the ashes are differing widely and rate of shrinkage measurement can provide an alternative approach to characterize/assess the slagging potential. Shrinkage measurement of coal ash has been carried out for the coal ashes collected at different power stations using different quality of coal. Key words: Utility Boiler; Slagging; Prediction; Energy; Thermal; Shrinkage; TMA etc., Cite this Article: J. John Christy Vijay, A. Lawrence and G. Arthanareeswaran, Analytical Tool for Analysing Slagging Characteristic of High Ash Coals in Utility
  • 2. Analytical Tool for Analysing Slagging Characteristic of High Ash Coals in Utility Boilers http://www.iaeme.com/IJMET/index.asp 186 editor@iaeme.com Boilers. International Journal of Mechanical Engineering and Technology, 8(3), 2017, pp. 185–196. http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=8&IType=3 1. INTRODUCTION A pulverized coal-fired Boiler is an industrial or utility Boiler that generates thermal energy by burning pulverized coal (Fossil Fuel) into the furnace. The basic idea behind pulverized coal firing system is to use the whole volume of the furnace for combustion. Pulverised Coal firing is a dominant technology for generating electric power in our country which contributes 60% of total installed capacity in thermal as on August 2015.Pulverised coal provides the thermal energy which produces about 50% of world’s electric supply. Pulverised fuel Boilers are principally a combustion chamber enclosed by vertical wall tubes. Pulverised coal enters into the combustion chamber through the burners, combusts and heat the water in the vertical tubes. Steam produced from heating the water produce electricity through turbo-generator sets. The mineral matter in coal is converted into ash during combustion. (A coal particle entering the combustion chamber will be subjected to a temperature of 1500° C). Ash, a by-product of combustion either accumulates onto the Boiler tubes as “Slag” or is collected by Electrostatic Precipitators, attached to the backend of the Boiler. On entering the Boiler, mineral matter in coal undergoes high complex mineral transformation to produce ash of varying elemental compositions, morphological features (size and shape) and physical characteristics (viscosity and density).Flue gas a by-product of combustion carries ash particles (fly ash) to the dust collecting facility at the Boiler end. Ash thus formed from combustion creates severe problems like slagging, fouling, erosion, particulate emissions etc., Slagging is a complex phenomenon seen in radiative heat transfer section in boiler. The mechanism of the growth of the ash deposits on the surface of the tube is mainly because of molten condition of the ash particles in the flue gas stream. When the particle approach the tube initial layer formed by the condensation of low melting minerals, therefore it acts as a glue to capture other particles arriving in partially molten state deposit over the initial layer and provides a sticky surface for other particles leads to sintering. As the deposit grows further and temperature becomes high the proportion of the liquid increases which cause to collapse later. 2. PRELIMINARY ANALYSIS All individual coal samples used in this work were characterized with proximate, ultimate chemical composition of ash and calorific value analysis. The analysis were done as per standard ASTM standards and summarized in Table(s) 1, 2 and 3 Table 1 Proximate analysis are done for different coal samples Coal Moisture Volatile matter Ash Fixed Carbon Sulphur Gross Calorific value A 3.70 20.40 52.40 23.50 0.44 3026 B 10.80 43.90 4.60 40.70 0.34 5760 C 7.30 26.20 34.60 31.90 0.46 4058 D 10.06 22.75 43.19 24.00 0 3337 E 9.74 33.85 19.75 36.70 0.60 5069 F 25.0 37.17 2.50 35.30 0.30 4961
  • 3. J. John Christy Vijay, A. Lawrence and G. Arthanareeswaran http://www.iaeme.com/IJMET/index.asp 187 editor@iaeme.com Table 2 Ultimate analysis are done for different coal samples Coal C H N S % by Weight A 32.12 2.04 0.98 0.44 B 62.23 3.69 1.04 0.34 C 41.76 2.74 1.01 0.46 D 35.82 1.68 0.69 1.09 E 54.81 3.18 1.22 0.58 F 51.32 4.02 1.09 0.27 Table 3 Chemical composition of coal ashes for different coal samples Coal SiO2 Al2O3 Fe2O3 TiO2 Cao MgO Na2O K2O P2O5 SO3 % by Weight A 64.80 26.10 4.30 1.60 0.60 0.50 0.60 1.20 0.20 0.10 B 36.20 19.20 18.60 1.20 10.70 3.20 0.80 0.90 0.30 8.90 C 63.40 26.20 5.90 1.70 1.20 0.60 0.10 0.70 0.10 0.10 D 65.25 20.30 8.23 1.13 1.70 1.19 0.15 1.58 0.27 0.20 E 61.60 20.80 7.20 1.40 3.40 2.60 0.40 1.10 0.20 1.30 F 35.60 16.42 18.89 1.04 15.70 7.97 0.03 0.95 0.15 3.27 3. EMPIRICAL RATIO TO ASSESS SLAGGING The conventional predictive slagging indices namely Base to acid ratio, Slagging factor Rs, Iron oxide to calcium oxide ratio, Silica to alumina ratio, Sodium content of coal ash, Sodium to potassium ratio and Iron oxide are done for the coal ash samples and are shown in Table 4. The low, medium and high slagging stands for the prediction of coal behavior w.r.t slagging in the Boiler during the combustion. Low slagging means there is non-problematic combustion and the deposition does not affect the heat transfer and cleaning up is not necessary. High slagging refers to formation of thick layer ash deposit on the Boiler heat transfer section which will retard the heart transfer in boiler tubes. Table 4 Slagging performance prediction based on conventional indices Conventional Indices C.I A D.S B D.S C D.S D D.S E D.S F D.S Base/Acid ratio 0.08 L.S 0.60 H.S 0.09 L.S 0.15 L.S 0.18 L.S 0.82 L.S Slagging Rs index 0.03 L.S 0.21 L.S 0.04 L.S 0.07 L.S 0.26 L.S 2.79 S.S Iron/Calcium Ratio 7.17 H.S 1.74 H.S 4.91 H.S 4.84 H.S 2.12 H.S 1.20 H.S Silica Aluminum Ratio 2.48 M.S 1.88 M.S 2.42 M.S 3.21 H.S 2.96 H.S 2.17 H.S Sodium Oxide 0.60 L.S 0.80 L.S 0.10 L.S 0.15 L.S 0.40 L.S 0.03 L.S Sodium and Potassium oxide 1.80 L.S 1.70 L.S 0.80 L.S 1.73 L.S 1.50 L.S 0.98 L.S Iron oxide 4.30 L.S 18.60 M.S 5.90 L.S 8.23 L.S 7.20 L.S 18.89 M.S C.I Conventional indices, L.S low slagging, M.S medium slagging, H.S high slagging and S.S Severe slagging, D.S Degree of Slagging
  • 4. Analytical Tool for Analysing Slagging Characteristic of High Ash Coals in Utility Boilers http://www.iaeme.com/IJMET/index.asp 188 editor@iaeme.com 3.1. Base to Acid Ratio (B/A) The base-to acid ratio is the ratio of total base to total acid components in the coal ash. Since it is a ratio, its lower limit can approach but never be zero and its upper limit approach to infinity. It is generally used only in the range of 0.1 to 1. The base-to acid ratio has been empirically correlated with ash melting, viscosity properties and other problems. (B/A) = Fe2O3+CaO+MgO+Na2O+K2O/SiO2+Al2O3+TiO2 (1) 3.2. Slagging Factor Rs The B/A ratio provides an indication of the melting point and viscosity of the slag while % Sulphur gives an indication of the quantity of pyritic iron present which influences the state of oxidation of the iron in the slag and thus its plastic range. The overall RS parameter has no theoretical basis, however it develops report that it gives a reasonable correlation with the slagging problems, particularly for dry bottom furnaces. Rs = B/A x Sulphur % in dry coal (2) 3.3. Iron Oxide to Calcium Oxide Ratio The iron oxide to calcium oxide ratio is the ratio of iron present in the ash calculated as Fe2O3 divided by the percentage of calcium calculated as CaO. This parameter is used as an indicator of furnace slagging in dry bottom furnaces. = Fe2O3 / CaO (3) 3.4. Silica to Alumina Ratio The Silica-to-Alumina ratio is the %SiO2 in the ash divided by % Al2O3 in the Ash. = SiO2 / Al2O3 (4) 3.5. Sodium Content of Coal Ash Sodium oxide contributes to corrosion and slagging and is one of the parameter used to judge the slagging potential problem. Some forms of sodium in coal are vaporized in the flame and condense out on heating surfaces of the furnace producing alkali-matrix deposits. Since the quantity of sodium that can be vaporized per unit of coal burned is a function of the total ash content and of the form in which the sodium is present, additional information on the coal source is needed for proper interpretation of results. 3.6. Sodium to Potassium Ratio The sodium-to-potassium ratio is the molar ratio of Na2O to K2O in the coal. It is most useful when determined on actual convection section deposits. = Na2O / K2O (5) 3.7. Iron Oxide The presence of high iron oxide content in coal ash leads to slagging in radiative heat transfer section in boiler.
  • 5. J. John Christy Vijay, A. Lawrence and G. Arthanareeswaran http://www.iaeme.com/IJMET/index.asp 189 editor@iaeme.com 4. INFLUENCE OF CALORIFIC VALUE BY ASH AND MOISTURE CONTENTS IN COAL Figure 1 shows that, if we have a certain correlation among ash content, moisture and calorific value then it is easy to relate coal quality with slagging propensity index. The calorific value has a linear dependence on the ash content in coal. However the results matches with medium moisture samples, but the error was big in case of smaller moisture and bigger than medium moisture coals samples. According to this situation, we have to consider moisture data for determination of slagging propensities. Figure 1 Correlation between Gross Calorific Value and Sum of Ash and Moisture contents in coal samples 5. ASH FUSION TEST (AFT) STUDIES Ash fusion temperatures are determined in order to provide an indication of how the mineral matter in coal may behave in the furnace. The standard AFT was carried out to determine the initial deformation temperature, softening temperature, hemispherical temperature and fluid temperature and the ash fusibility temperatures are shown in Table 5. Table 5 Ash fusion test studies for the coal ash samples Parameters Unit A B C D E F Initial Deformation Temp. Deg. C 1450 1220 1450 1340 1264 1229 Softening Temp. Deg. C 1450 1275 1450 1445 1316 1242 Hemispherical Temp. Deg. C 1450 1283 1450 1450 1385 1251 Fluid Temp. Deg. C 1450 1301 1450 1450 1435 1281 5.1. Initial Deformation Temperature Initial deformation temperature is the temperature at which a prepared standard cone of ash just begins to fuse or show evidence of deformation at the top of the cone as it is being to heated in a standard test furnace. This would correspond to the temperature in the operating furnace at which the particles of the coal ash, in transit through the furnace, have been cooled to a point where they still retain a slight tendency to stick together or slowly to build upon heat-adsorption surfaces. When the temperatures in an operating furnace are such that the ash
  • 6. Analytical Tool for Analysing Slagging Characteristic of High Ash Coals in Utility Boilers http://www.iaeme.com/IJMET/index.asp 190 editor@iaeme.com particles have cooled to a temperature lower than their initial deformation temperature, they tend to accumulate as a “dry” product. 5.2. Softening Temperature The softening temperature corresponds to an observed condition between initial deformation and fluidity. Softening temperature is the temperature at which the test under observation has deformed to a spherical form where height is equal to width. 5.3. Hemispherical Temperature The hemispherical temperature is read when the cone has further deformed to the point where it assumes a hemispherical shape and its height equals one half of its width. Both softening and Hemispherical temperature are related to appoint at which the fuel shows a greatly accelerated tendency to mass together and stick in large quantities to heat-absorbing surfaces. 5.4. Fluid Temperature The fluid temperature is the temperature at which the test cones flattens out to a pancake shape on the plaque. The fluid temperature is related to the temperature at which the coal ash may be expected to flow ion streams or drip from heat-absorption surfaces or the temperature at which heavy clinker forms on the grates under a fuel bed. 6. THERMOMECHANICAL ANALYSIS (TMA) STUDIES TMA is used to determine the linear thermal expansion of the coal-ash as a function of temperature. A small constant load acts on the coal specimen which is used to measure the expansion and thereby co-efficient of linear thermal expansion is determined. The first heating phase yields information about the actual state of the coal-ash, including its thermal and mechanical history. When the thermoplastics soften, stress may relax as a result of which post crystallization and recrystallization processes may occur. On the other hand, specimen with deform for the load applied. 6.1. Experimental Studies Figure 2 Description of TMA test Thermo-mechanical analysis measures linear or volumetric changes in the dimensions of the sample as a function of time, temperature and force in a controlled atmosphere. Thermo mechanical analyzer of SETRAM make Model Setsys-18 with resolution of 0.004micron is Alumina lid Ash pellet Alumina crucible Heating Shrinkage
  • 7. J. John Christy Vijay, A. Lawrence and G. Arthanareeswaran http://www.iaeme.com/IJMET/index.asp 191 editor@iaeme.com used. The representative raw coal sample was crushed and fine grounded in a mini pulveriser to pass through 200 mesh (75 microns) similar to the pulverized coal. The –-200 mesh coal sample was heated in a furnace at 900°C to completely burnout the combustible matter. About 500 mg of the residual ash is mixed with 2 drops of 10% dextrin solution and pressed into pellet of the size (7mm x 5 mm dia) in a specially designed pelletizer by applying constant pressure. The ash pellet is dried in an oven at 100°C and the height of the pellet is measured to an accuracy of 0.01 mm. The ash pellet is placed in an alumina crucible of 6.8 mm dia and a suitable alumina disc (cover) is placed over the top of the pellet as shown in the Fig. 2 The whole sample assembly is placed between the push rod and the sample holder in the TMA instrument and inserted into the furnace. Adjustments are done in such a way that the push rod just rests on the alumina cover and 10g load is applied on the push rod and the displacement of the push rod is targeted to “zero”. The actual length of the ash pellet is fed into the computer as input. The furnace is heated at the rate of 10°C per minute from room temperature to 1400°C in nitrogen atmosphere. The ash pellet undergoes dimensional changes as it is heated. The displacement of the push rod, i.e, shrinkage pattern, time and temperature are recorded continuously. At the end of the run, the absolute shrinkage%, as well as the rate of shrinkage %/min are plotted against temperature. Under the standard experimental conditions, the repeatability has been found to be good, with peaks in derivative curves being reproducible to within about 5°C. Whenever there was a steep drop in the 2nd stage shrinkage at temperatures ≤ 1200°C the heating of crucible was limited to 1300° C in order to protect the alumina push rod from being fused with the ash melt. 6.2. Shrinkage Curves based on TMA The review of shrinkage curves of all coal ashes shows that different stages of shrinkage pattern have been occurring, when the ash pellet is subjected to heating from ambient to 1400 oC. The first stage of shrinkage of less than 2 to 3 % is observed for all the coal ashes around the temperature range of 800oC to 1000oC. The second stage of shrinkage of 5 to 40% range appears to be a prominent phase observed in almost all coal ashes within the short temperature range of 1150 oC to 1350 oC. The different stages of shrinkage, representing the various events are clearly exhibited by the peaks on the differential curve (rate of shrinkage). The temperatures with respect to specific amount of shrinkage can be derived from TMA curve. The initial stage of shrinkage or the first derivative peak occurs at temperatures less than 1000 oC in all the samples, which may probably be primarily due to particle deformation rounding of corners and secondarily due to sintering. As the temperature increases, more particles become fully molten depending on the mineral phase changes and the proportion of liquid formation increases significantly exhibiting the steep rise in the rate of shrinkage as shown by the second peak. It is important to note that all the conventional slagging indices namely percentage iron oxide, base to acid ratio, slagging index based on AFT, silica ratio and viscosity are ultimately linked to liquid formation tendencies of the ash. It is well established that the buildup of ash deposit on waterwalls is dependent on the ash particle remaining partially in the liquid stage on arrival at the tube surface. Analysing the shrinkage curves of TMA analysis, the 2nd peak is significant since it captures major portion of shrinkage occurring due to liquid formation in ash. Though the maximum rate of shrinkage is observed to be different for different coal ashes and the temperature at which the peak rate of shrinkage is also observed to be varying between coal ashes. In order to rationalize the above two characteristic data namely, peak shrinkage rate and temperature corresponding to the peak rate are normalized by dividing the rate by temperature to arrive at relative shrinkage rate for all the coal ashes. In spite of having
  • 8. Analytical Tool for Analysing Slagging Characteristic of High Ash Coals in Utility Boilers http://www.iaeme.com/IJMET/index.asp 192 editor@iaeme.com higher relative shrinkage rate of the ash, the quantum of ash or concentration of ash particle in the furnace also matters. If it is less for corresponding coal the overall effect of slagging in the furnace dynamic condition may not be significant. On the other hand if both the relative shrinkage rate and quantum of ash are high then, there will be a pronounced synergistic effect on slag formation. 6.3. Formulation of New Slagging Index In order rationalize different peak shrinkage rate (Rm) and the temperature corresponding to the peak rate (Tm) for different coal ashes, the same is been normalized by dividing the Shrinkage rate by temperature to arrive a relative shrinkage rate. It is worthwhile to consider the concentration of the ash particles or the ash content in coal because the overall effect of the slagging depends upon the percentage of ash in the coal. Based on the above new Slagging Index, SINew = Rm Ash 10 7 (6) Tm GCV Rm - Maximum rate of shrinkage for the second peak Tm - Temperature corresponding to Rm Rm/Tm - Relative shrinkage rate Ash - Ash in percentage GCV - Calorific value of coal in Kcal/Kg Based on the above slagging index by TMA for the coal ash samples, Table 6 shows the slagging performance prediction with power plant performance. Table 6 Slagging prediction based on TMA and validation with power plant performance Coal Relative Shrinkage Rate (Rm/Tm) 10 -5 Ash per million Kcal g x 10 3 New Slagging Index SINew (6) Power plant Performance A 48.60 173.16 84.11 Slagging B 641.40 7.98 51.22 No Slagging C 51.20 85.26 43.64 No Slagging D 82.30 129.42 106.49 Slagging E 280.10 38.96 109.13 Slagging F 275.60 5.04 13.89 No Slagging 7. RESULTS AND DISCUSSIONS There is positive correlation between the new slag index and actual observation made in a few higher capacity boilers. The field data indicated slagging tendency for coals having slag index more than 80. The data also reveals that if either of the parameters ie, relative shrinkage rate or ash in g per million kcal alone is very low comparatively for a particular coal then that coal is not likely to exhibit slagging eg coal-C. It is very clear that slagging in boiler furnaces depends on the combined effect of the liquid forming tendency of the ash, temperatures experienced in furnaces and ash loading. It is also evident from the Table-4 that the indices derived from chemical composition do not reliably correlate with the power plant performance. Slagging index based on ash fusion temperatures, which was carried out for coal ashes also do not reliably reflect the power plant thermal observation with respect to slagging. The proposed new index takes into account both the liquid forming tendency of the ash ie, the relative shrinkage data from TMA of the ash as well as ash loading ie, weight of ash per
  • 9. J. John Christy Vijay, A. Lawrence and G. Arthanareeswaran http://www.iaeme.com/IJMET/index.asp 193 editor@iaeme.com million kcal derived from proximate and calorific value. The conventional slagging indices that are derived from Ash fusion temperatures and chemical compositions of ash do not take into account the ash loading of high ash coals and hence conventional indices are not reliably correlating with actual performance. The new slagging index provides a better tool for assessing boiler slagging than the conventional indices derived from chemical composition of ash and ash fusion temperatures. It is well known fact that the slagging phenomena in boilers not only depends on coal quality but also the boiler design such as volumetric heat loading and operational regimes like excess air, fineness of coal particles etc. However, for a given boiler, the boiler-operating regime cannot be adjusted beyond certain range to alleviate slagging without compromising on combustion efficiency if the coal exhibits very high slagging index. For a given new coal, proper sizing of boiler furnace can be done, based on the comparison of new slagging index of the coal against a reference coal for which the correlation between slagging index and power plant performance is well understood. 7.1. Coal-Ash A, D and E The relative shrinkage rate of ash and ash content in coals are varying between moderate to high and hence due to the combined effect of the liquid forming tendency and high ash loading, the effect on slagging is high and same matches with power plant performance. Figure 3 Shrinkage % and rate of shrinkage%/min of coal-ash A Figure 4 Shrinkage % and rate of shrinkage%/min of coal-ash D
  • 10. Analytical Tool for Analysing Slagging Characteristic of High Ash Coals in Utility Boilers http://www.iaeme.com/IJMET/index.asp 194 editor@iaeme.com Figure 5 Shrinkage % and rate of shrinkage%/min of coal-ash E 7.2. Coal-Ash B and F High Iron oxide content of the ash shows high slagging nature as per the conventional indices. Though the relative shrinkage rate of coal ashes is high, the ash content in is low and hence it is less propensity towards slagging. Figure 6 Shrinkage % and rate of shrinkage%/min of coal-ash B Figure 7 Shrinkage % and rate of shrinkage%/min of coal-ash F
  • 11. J. John Christy Vijay, A. Lawrence and G. Arthanareeswaran http://www.iaeme.com/IJMET/index.asp 195 editor@iaeme.com 7.3. Coal-Ash C The relative shrinkage rate of ash and ash loading in the furnace is moderate, hence there is less effect on slag formation and same matches with power plant performance. Figure 8 Shrinkage % and rate of shrinkage%/min of coal-ash C 8. CONCLUSION 1. The development of new methodology of calculating slagging index based on maximum shrinkage rates measured in a Thermo-Mechanical Analyser (TMA) offers a reliable correlation with the reported slagging intensities in the power plant. 2. The new index based on TMA is found to be a better predictive tool for assessing boiler slagging than conventional indices derived from chemical composition of ash and ash fusion temperatures. 3. The work described in this paper though with the limited data, has provided a foundation for a comprehensive coal quality research program for characterization towards better slagging potential prediction. 9. ACKNOWLEDGEMENT The authors are thankful to Mr K Ravishankar and Mr S Thiagarajan of Engineering / Fossil Boiler from BHEL Tiruchirappalli, India for providing support and necessary facilities for the preparation of the paper. REFERENCES [1] T. Ctvrtnickova, M.P Mateo, A. Yanez, G. Nicolas, Application of LIBS and TMA for the determination of combustion predictive indices of coals and coal blends, Applied surface Sci. 257(2011) 5447-5451 [2] A. Lawrence, R. Kumar, K.Nandakumar,K. Narayanan, A novel tool for assessing slagging propensity of coals in PF Boilers, Fuel 87 (2008) 946-950 [3] RE Barrette, JM Murin, GA Mack, JP Dimmer, Evaluating slagging and fouling parameters presented at the fall meeting of the American flame research committee, 1983 [4] RP Gupta and TF Wall, Mineral matter in coal and ash deposits particle-Advanced characterization Techniques. Coal and coal combustion in Utility Boiler, New Delhi; 1999 [5] G Couch, Understanding slagging and fouling during PF combustion, IEA report, August 1994
  • 12. Analytical Tool for Analysing Slagging Characteristic of High Ash Coals in Utility Boilers http://www.iaeme.com/IJMET/index.asp 196 editor@iaeme.com [6] TF Wall,RA Creelman,RP Gupta,C Coin, A Lowe, Coal ash fusion temperatures-New characterization techniques and implication for slagging and fouling, progress in Energy combustion 24(1998) 345-353 [7] E Raask, Mineral impurities in coal combustion, Behaviour problems and Remedial measures, Hemisphere Publishing Corporation, New York, 1985. [8] R Hatt,Correlating the slagging of a utility boiler with coal characteristics, in: L Baxter, R Desollar (Eds), Applications of Advanced Technology to Ash-related problems in Boiler. Proceedings of the Engineering Foundation Conference, Waterville Valley, New Hampshire, 1995, pp 237-244 [9] George kostakis, Mineralogical composition of boiler fouling and slagging deposits and their relation to fly ashes, Journal of Hazardous materials 185(2011) 1012-1018 [10] Qingyan Fang,Huajian Wang, “Numerical simulations of slagging characteristics in a down-fired pulverized coal boiler furnace” fuel processing technology 91(2010)88-96 [11] Harun Bilirgen, Slagging in PC boilers and developing mitigation strategies, fuels 115(2014)618-624 [12] Panagiotidis,K Vafiadis,A.Tourlidakis,A.Tomboulides, Study of slagging and fouling mechanisms in a lignite-fired power plant, applied thermal engineering 74(2014)156-164 [13] S.M Limos-Martinez, K.Watanabe, Slagging and fouling characteristics of Philippines coal, fuel 85(3) 2006 306-314 [14] M.U Degereji,D.B Ingham,L.Ma M. Pourkashanian,A.Wiliams, Numerical assessment of slagging potential in pulverised coal boilers, fuel 102 (2012) 345-353 [15] Hiroshi Naganuma, Nobuya ikeda, Takayuki kawai, Ash deposition in pulverized coal fired boiler,proceedings of the combustion institute 32 (2009) 2709-2716 [16] Hari B.Vuthaluru, Nilesh Kotadiya, Rupa Vuthaluru, David French, Identification of clinker formation regions in large scale utility boilers, applied thermal engineering 31 (2011) 1368-1380 [17] M.Xu,X He J.L.T Azevedo,M.G Carvalho, Assess fouling and slagging in coal fired boilers, international journal of energy research 26 (14) (2002) 1221-1236 [18] LL Baxter, R.W Desollar, A description of ash deposition during pulverised coal combustion-prediction compared with observations, fuel 72 (10) (1993) 1411-1418 [19] Zhanhua Ma,Felicia Iman,Pisi Lu,Rod sears,Lingbu Kong,A.S Rokanuzzaman Donald P,Mccollor,steven A. Benson, A comprehensive slagging and fouling prediction tool for coal-fired boilers and its validation/application, fuel processing technology 88 (2007) 1035-1043 [20] Vasquez, Z Ma S.A Benson, Advanced prediction tools for ash formation and deposition in coal-fired boiler, Clearwater April 18-22 2004, The Clearwater coal conference, Florida, USA [21] A.Selwin Mich Priyadharson and T.R.Rangaswamy, Cascaded Fuzzy Controller Scheme for Combustion Control of a Utility Boiler Using Control Balance Model. International Journal of Electrical Engineering and Technology (IJEET).2 (2), 2011, pp. 42-53. [22] Shreenath, Ramakrishna Hegde and Gangadhar Sheri. Technologies of Sulphur Dioxide Reduction in Coal Fired Thermal Power Plant. International Journal of Mechanical Engineering and Technology, 5 (9), 2014, pp. 206-212