SlideShare a Scribd company logo
International Journal of Reconfigurable and Embedded Systems (IJRES)
Vol. 12, No. 3, November 2023, pp. 414~422
ISSN: 2089-4864, DOI: 10.11591/ijres.v12.i3pp414-422  414
Journal homepage: http://ijres.iaescore.com
Experimental study on the effects of injection timing using reuse
of waste energy as a fuel on a diesel engine
Dvsrbm Subrahmanyam, Jagadeesh Manikandan
Department of Mechanical Engineering, Annamalai University, Annamalainagar, India
Article Info ABSTRACT
Article history:
Received Feb 18, 2023
Revised Mar 29, 2023
Accepted Apr 17, 2023
In the course of this study, an eco-friendly alternative fuel was manufactured
by transesterifying waste oils with the help of alcohol and a catalyst. As
required by the American society for testing and materials (ASTM)
requirements, we conducted an analysis on the acquired waste cooking oil
biofuel (WOB) to determine its most important properties. We were
successful in producing three separate fuel mixes, which we will refer to as
BF100WOB0 (100% diesel), BF80WOB20 (80% diesel and 20% biofuel),
and BF0WOB100 (100% biofuel) respectively. This research used a diesel
engine with direct injection; the engine had a single cylinder, and the
computer that operated it was located in the cabin. The results showed that
the BF80WOB20 had a 3.8% increase in fuel consumption and a 1.4% loss
in thermal efficiency while it was at a temperature of 26.5° b top dead center
(TDC) conditions with low injection time led to decreased levels of both
nitrogen oxides (NOx) and hartridge smoke level (HSL) emissions. The
addition of 20% WOB to the fundamental fuel improved the engine
combustion characteristics at 26.5° b TDC. This improvement occurred at
the same time.
Keywords:
Biofuels
Diesel engine
Nitrogen oxides emissions
Thermal efficiency
Waste energy reuse
This is an open access article under the CC BY-SA license.
Corresponding Author:
Dvsrbm Subrahmanyam
Department of Mechanical Engineering, Annamalai University
Annamalainagar-608002, Chidambaram, Tamil Nadu, India
Email: subhramanyasharma@gmail.com
NOMENCLATURES
BF Base fuel CR Compression ratio
BTE Brake thermal efficiency HSL Hartridge smoke level
BF100WOB0 100% of base fuel and 0% of waste oil biodiesel ITs Injection timings
BF80WOB20 80% of base fuel and 20% of waste oil biodiesel MROPR Max. rise of pressure rate
BF0WOB100 0% of base fuel and100% of waste oil biodiesel NOx Nitrogen oxides
b TDC Before top dead center SFC Specific fuel consumption
WOB Waste oil biodiesel
1. INTRODUCTION
Global warming and its harmful consequences on the environment and human health are making
people increasingly aware of the problems that come with the modern world's reliance on fossil fuels. Less
use of fossil fuels might lower dangerous emissions by a large amount. It might be done by employing clean
energy instead of fossil fuels [1], [2]. Moreover, particulate matter (PM) and nitrogen oxides released by
diesel vehicles pose a threat to human health, which has slowed the development of diesel vehicles (NOx).
Int J Reconfigurable & Embedded Syst ISSN: 2089-4864 
Experimental study on the effects of injection timing using reuse of waste … (Dvsrbm Subrahmanyam)
415
Diesel engines are the cause of about 90% of NOx and PM emissions. PM is linked to a wide range of bad
things that happen to people's health when they breathe it in. It causes respiratory and cardiovascular diseases
[3], [4]. In this way, research has shown that using diesel biodiesel blends can cut carbon monoxide (CO),
hydrocarbons, and particulate matter emissions by a lot. This is because biodiesel already has oxygen in it.
The authors were also told about some other fuels that are better for the environment [5]. Yang et al. [6] we
looked at how the timing of the injections influenced the combustion and emissions of a dual-direct-injection
diesel/NG engine that was running hard. The data reveal that making the brakes more thermally efficient
caused the CO2 emissions to rise from 15.6% to 6.4%. Overall, the time of NG injection may be shifted
forward to make the thermal efficiency better. Channapattana et al. [7] added nickel oxide nanoparticles to a
blend of Neem biodiesel and diesel fuel and ran it through a direct injection-compression ignition engine (DI-
CI) engine at different fuel injection times (19, 23 and 27 b top dead center (TDC)). Based on their studies of
performance and thermodynamics, they came to the conclusion that when Neem biodiesel is mixed with
diesel, the thermal efficiency goes up and the amount of radiation loss goes down. Valera et al. [8] mixed
methanol with diesel fuel and ran it through a DI-CI engine at different methanol injection rates. Based on
their studies of how things work, they found that when methanol is added to diesel, the NOx emissions go
down. Chaurasiya et al. [9] mixed 5% hydrogen, 5% diethyl ether, 5% n-butanol, and 5% microalgae with
95% diesel fuel, then ran the mixture through a DI-CI engine at different injection times (17.5-29.5° b TDC).
Based on their studies of how things work, they found that the injection timings must be moved back to lower
the charge temperature and reduce NOX emissions.
The proposed effort intends to establish a methodical approach to the use of used cooking oil as a
biofuel for the partial replacement of diesel fuel in CI engines. This will be accomplished via the use of a CI
engine. In addition, a unique technique is used by changing the injection time (18.5-26.5° b TDC) at varying
concentrations, and this study is expected to be the first of its sort to be published using BF80WOB20 mix. In
light of this, the purpose of this study is to investigate the performance, combustion, and emission
characteristics of a waste cooking oil biofuel mix with various injection timings.
2. PRODUCTION OF WASTE PLASTIC OIL BIODIESEL AND EXPERIMENTAL
2.1. Production of waste cooking oil biodiesel
Palm oil, sunflower oil, mustard oil, and soya oil were chosen for this study because they may be
used in many different ways in the kitchen and have a broad variety of fatty acid profiles. In the Indian state
of Tamil Nadu, there is a city called Chidambaram. In Chidambaram, there is a market where the oils were
bought. Biodiesel was made by melting down leftover cooking oils and putting them together with alcohol
and potassium hydroxide. Through a chemical process called transesterification, used cooking oils were
turned into waste cooking oil biodiesel (also called WOB) [10]–[12]. Before the transesterification procedure
could start, the WOB samples were filtered to get rid of any contaminants that could have been there. Table 1
shows what the fuel is and how it works. The process of preparing biofuel is shown in Figure 1. Figure 2
shows a sample of fuel. Figure 2(a) contains Basefuel100 (BF100) and Figure 2(b) contains WOB100.
Table 1. Belongings of various energies
Property BF100WOB0 BF80WOB20 BF0WOB100
Cetane number 45-52 52.9 49.5
Density (kg/m3
) at 15 C 838 849.5 874.75
Flash point (C) 61.2 52.6 36.5
Viscosity (mm2
/s) at 40 C 3.8 3.59 3.64
Calorific value (MJ/kg) 45.5 44.6 40.4
Figure 1. The process of preparing biofuel
 ISSN: 2089-4864
Int J Reconfigurable & Embedded Syst, Vol. 12, No. 3, November 2023: 414-422
416
(a) (b)
Figure 2. Fuel sample of (a) Basefuel100 and (b) WOB100
2.2. Experimental test ring
A simplified diagram of the testing setup is shown in Figure 3. A summary of the test environment's
capabilities is provided in Table 2. The engine was loaded using a dynamometer. The amount of gasoline
flowing through the system at any one moment was determined with the use of a fuel meter. In order to
gauge the air flow rate, an air box was also fitted to the motor. The temperature of the exhaust gas was
measured with the help of a thermocouple and a digital temperature monitor. The cylinder pressure was
measured and recorded with the use of a charge amplifier and a pressure transducer that was affixed to the
engine's cylinder head. NOx, HC, and CO exhaust levels were measured using an exhaust gas analyzer
(Testo-350). Each test was conducted using an interface for a data collection system at the maximum engine
speed of 1,500 rpm.
Figure 3. Test setup
Table 2. Provisions of assessment machine
Limits Limits value
Engine stroke/cylinder Four/one
Higher than fuel injection pressure 230 bar
Rated speed 1,500 rpm
Dimension of bore/stroke 80/110 mm
Advanced fuel injection timing 17.5-27.5° b TDC
Compression ratio 18.5
Method of cooling Water
Int J Reconfigurable & Embedded Syst ISSN: 2089-4864 
Experimental study on the effects of injection timing using reuse of waste … (Dvsrbm Subrahmanyam)
417
2.3. Experimental error analysis
An uncertainty analysis is of utmost significance for the experimental investigations since the
outcome of the analysis provides the readers with an idea about the correctness and repeatability of the data
that were delivered to them. Accordingly, a total uncertainty value of the findings is computed by making use
(1) [12] and basing it on the information shown in Table 3. The section of the text devoted to the
nomenclature provides readers with an explanation of the symbols. According to (1), the total amount of
suppositional uncertainty is 2.36%.
T = [(E1)2
+ (E2)2
+ ⋯ (En)2]1/2
(1)
Table 3. Uncertainties
Apparatus Uncertainty
Angle encoder ±0.2%
Pressure ±0.5%
Smoke ± 1.0%
Temperature ±0.5%
CO2 ± 0.5-1.0%
NOX ± 0.5-1.0%
Burette measurements. ±1.0%
Load meter ±0.2%
Indicator of speed ±1.0%
3. RESULTS AND DISCUSSION
3.1. Specific fuel consumption
The values of specific fuel consumption (SFC) are shown in Figure 4 for a variety of injection
timings when Figure 4 shows the values of SFC for a number of different injection timings while the engine
was running under full load conditions. When the engine was operating at its maximum load, for instance, the
SFC values for BF80WOB20 were higher than those of BF100WOB0 (408.4, 257.3, 252, 250.2, and 244.7
g/kWh) at 18.5, 20.5, 22.5, 24.5, and 26.5° b TDC respectively, and the SFC was higher by 4.3% at an
injection timing of 26.5° b DTC. Because biodiesel has a lower heating value than regular diesel, it takes
more fuel to create the same amount of heat, which leads to an increase in the SFC. This is one of the reasons
why biodiesel contributes to an increase in greenhouse gas emissions. The value of the SFC increases if there
is a higher quantity of each component present in the combination. When compared to diesel, the study
shows that proper ignition leads to a drop in SFC concentration with increasing load. This phenomenon is not
seen with diesel. The higher density of biodiesel fuel in comparison to gasoline fuel is another factor that
contributes to the rise in SFC that occurs with increasing percentages of biodiesel [13]. When the engine was
operating at its maximum capacity, a rise in the temperature within the cylinder as well as an increase in the
quantity of oxygen contained in the alternative contributed to an improvement in the mixes' fuel consumption
[14].
Figure 4. Specific fuel consumption with air force institute of technology (AFIT’S)
18.5 20.5 22.5 24.5 26.5
0
200
400
600
800
SFC
(g/kWh)
ITs (deg.)
BF100WOB0
BF80WOB20
BF0WOB100
 ISSN: 2089-4864
Int J Reconfigurable & Embedded Syst, Vol. 12, No. 3, November 2023: 414-422
418
3.2. Brake thermal efficiency
Figure 5 presents the values of brake thermal efficiency (BTE) for a number of different injection
timings. The ratio of the power output of the engine to the energy content of the fuel that is injected into the
combustion chamber is referred to as the BTE. The mass flow rate of the fuel, in combination with the fuel's
lower heating value, is used to calculate the total amount of energy that the fuel contains. The biodiesel
showed a modest improvement in terms of BTE, which may be attributed to the fact that there was less fuel
atomization in the combustion cylinder. This might be due to the fact that diesel has a lower viscosity than
biodiesel [13], which is a fuel made from vegetable oils. While biodiesel has a greater viscosity. The BTE of
the examined gasoline mixes is shown in Figure 4 for a variety of different engine loads. The braking energy
transfer efficiency, also known as the BTE, is measured as the ratio of the braking power to the heat
equivalent of the fuel that was used. Due to the lower energy contents, the BTE for all fuel blends was
generally lower than that of diesel fuel [14]. If we compare BF80WOB20 and BF100WOB0 at full load, we
find that at 18.5° and 26.5° b DTC earlier injection time, the BTE values for the latter are lower by 2.0% and
3.1%, respectively. Fuel combustion efficiency of the mixes was enhanced while the engine was operating
under full load due to an increase in cylinder temperature and the quantity of oxygen present in the
alternative. Therefore, it increased BTE and enhanced combustion efficiency. At higher engine loads, the
increased in-cylinder temperature and heat of release rate caused the BTE for 18.5° b TDC, 20.5° b TDC,
22.5° b TDC, 24.5° b TDC, and 26.5° b TDC to be 30.82%, 32.5%, 33.9%, 33.9%, and 33.9% higher,
respectively, than WOB blends.
Figure 5. BTE with advanced fuel injection times (AFITs)
3.3. Cylinder pressure
Figure 6 shows a depiction of the link between crank angle and cylinder pressure for each of the test
fuels. This connection can be observed for each of the test fuels. When the engine was filled to its full
capacity, the BF100WOB0, BF80WOB20, and BF0WOB100 all followed the same pattern with regard to the
pressure within their respective cylinders. When measured against BF100WOB0 (89.3, 110.2, 116.3, 122.9
and 127.2 bar), the maximum cylinder pressure of BF80WOB20 (85.7, 92.3, 92.7, 108.1,113.3) at 18.5° b
TDC, 20.5° b TDC, 22.5° b TDC, 24.5° b TDC and 26.5° b TDC with 100% load is shown to be lowered by
4.0%, 16.1%, 20.1%, and it's possible that the high viscosity of the WOB, the high latent heat of evaporation,
and the poor igniting qualities are all to blame for this [15], [16].
3.4. Maximum rate of pressure rise
Figure 7 illustrates the maximum rate of pressure rise (MROPR) as well as the injection for each of
the test fuels. The exhaust gas temperature (EGT) of the BF100WOB0, BF80WOB20, and BF0WOB100 all
followed the same pattern when the engines were loaded to their maximum capacity. In comparison to
BF100WOB0 (4.2, 5.9, 6.2, 6.5 and 6.8 bar/deg.), the MROPR of BF80WOB20 (3.9, 4.0, 4.2, 4.3 and 4.6
bar/deg.) at 18.5° b TDC, 20.5° b TDC, 22.5° b TDC, 24.5° b TDC and 26.5° b TDC with 100% load is seen
to be 7.1%, 32.2%.
18.5 20.5 22.5 24.5 26.5
0
10
20
30
40
50
BTE
(%)
ITs (deg.)
BF100WOB0
BF80WOB20
BF0WOB100
Int J Reconfigurable & Embedded Syst ISSN: 2089-4864 
Experimental study on the effects of injection timing using reuse of waste … (Dvsrbm Subrahmanyam)
419
Figure 6. Cylinder pressure with ITs
Figure 7. Maximum rate of pressure rise with ITs
3.5. NOx emission
Figure 8 depicts the range of nitrogen oxides (NOx) emissions achieved by varying the injection
time for base fuel and biodiesel techniques. When the engines were loaded to their maximum capacity, the
NOx emissions from BF100WOB0, BF80WOB20, and BF0WOB100 all followed the same pattern. In
comparison to BF100WOB0 (827.8, 2352.5, 3052.9, 3450.8 and 4012.9 ppm), the NOx levels of
BF80WOB20 (732, 1822.5, 2525, 3003.4 and 3569.) at 18.5° b TDC, 20.5° b TDC, 22.5° b TDC, 24.5° b
TDC and 26.5° b TDC with 100% load are observed to be 11.5%, 22.5% One possible explanation for this is
because the WOB has a lower temperature [17], [18]. When certain operating conditions, such as the air-to-
fuel ratio, are present, there is a general tendency for NOx emissions to rise as the combustion temperature
rises while the ignition timing advances the cetane number [19]-[21]. This is a pattern that can be observed
under certain circumstances.
300 320 340 360 380 400 420 440 460 480
0
30
60
90
120
150
Cylinder
pressure
(bar)
Crank angle (deg.)
BF100WOB0 @18.5
BF100WOB0 @22.5
BF100WOB0 @26.5
BF80WOB20 @18.5
BF80WOB20 @22.5
BF80WOB20 @26.5
BF0WOB100 @18.5
BF0WOB100 @22.5
BF0WOB100 @26.5
18.5 20.5 22.5 24.5 26.5
0
2
4
6
8
10
Max.
Rate
of
pressure
rise
(bar/deg.)
ITs (deg.)
BF100WOB0
BF80WOB20
BF0WOB100
 ISSN: 2089-4864
Int J Reconfigurable & Embedded Syst, Vol. 12, No. 3, November 2023: 414-422
420
3.6. Smoke emission
By employing fuels with large volatilities, it is possible to efficiently cut down on the amount of
smoke emitted at early injection timings. When it comes to fuel blends, the effect of oxygenated content in
decreasing smoke emissions was major when the diesel energy ratio was increased, but the influence of fuel
volatilities became predominant when the diesel energy ratio was dropped. This is because the diesel energy
ratio is directly proportional to the amount of smoke emissions produced by the fuel [22], [23]. Both fuels
and loads contributed to an increase in the amount of smoke being emitted by the engines. When the quantity
of incoming fuel grew along with the increased load, adequate air was unable to be given, and as a
consequence, the amount of smoke that was created as a result of the rich mixture also increased
correspondingly [24], [25]. Figure 9 depicts the range of HSL emissions achieved by varying the injection
time for base fuel and biodiesel techniques. When the engines were loaded to their maximum capacity [26],
the patterns of smoke emission produced by BF100WOB0, BF80WOB20, and BF0WOB100 were identical.
In contrast to the smoke emission of BF100WOB0 (50.4, 39.8, 37.9, 35.6, and 34.2 HSL), the smoke
emission of BF80WOB20 (50.8, 47.8, 47.8, 40.9, and 39.2 HSL) at 18.5° b TDC, 20.5° b TDC, 22.5° b TDC,
and 24.5° b TDC and 26.5° b TDC with 100% load is noted to be 0.78%.
Figure 8. Engine NOx emission with ITs
Figure 9. HSL emission with ITs
18.5 20.5 22.5 24.5 26.5
0
1000
2000
3000
4000
5000
NOx
(ppm)
ITs (deg.)
BF100WOB0
BF80WOB20
BF0WOB100
18.5 20.5 22.5 24.5 26.5
0
10
20
30
40
50
60
70
80
90
100
Hartridge
Smoke
Level
(HSL)
ITs (deg.)
BF100WOB0
BF80WOB20
BF0WOB100
Int J Reconfigurable & Embedded Syst ISSN: 2089-4864 
Experimental study on the effects of injection timing using reuse of waste … (Dvsrbm Subrahmanyam)
421
4. CONCLUSION
The density and flash points of biodiesels generated with a greater percentage of WOB are well
within the standards for biodiesel in terms of density and temperature. Biodiesels derived from waste oil have
calorific values that are slightly lower than those of base fuel. This is due to the fact that biodiesel is made
from waste oil. Compared to BF100WOB0 (89.3, 110.2, 116.3, 122.9, and 127.2 bar), the maximum cylinder
pressure of BF80WOB20 (85.7, 92.3, 92.7, 108.1, 113.3) at 18.5° b TDC, 20.5° b TDC, 22.5° b TDC, 24.5°
b TDC, and 26.5° b TDC with 100% load is lower by 4.0%, 16.1%, 20.1%, 12.0% and 10.9%, respectively at
18.5 CR. This base fuel, which is made from used oil, makes a little more smoke than the base fuel itself
does. When compared to the basic fuel, there may be significant differences in the quantity of NOx that is
released. The quantity of BTE that is decided by WOB isn't as high as the amount that is determined by base
fuel. It has been shown that BF80WOB20 produces 11.0% less NOx at 26.5° b TDC and 100% load than
BF100WOB0 does at 18.5 CR. The current experimental study operated using BF80WOB20 blend at various
injection timings together with full load condition, and the results showed 22.5° to 26.5° b TDC improved
operating condition for the engine.
REFERENCES
[1] P. Sankar, M. Thangavelu, V. Moorthy, S. M. Subhani, and R. Manimaran, “Prediction and optimization of diesel engine
characteristics for various fuel injection timing: Operated by third generation green fuel with alumina nano additive,” Sustainable
Energy Technologies and Assessments, vol. 53, p. 102751, Oct. 2022, doi: 10.1016/j.seta.2022.102751.
[2] S. Sahu, P. Kumar, and A. Dhar, “Effect of injection timing on combustion, performance and emissions characteristics of
methanol fuelled DISI engine: A numerical study,” Fuel, vol. 322, p. 124167, Aug. 2022, doi: 10.1016/j.fuel.2022.124167.
[3] X. Su et al., “Combustion and emission characteristics of diesel engine fueled with diesel/cyclohexanol blend fuels under
different exhaust gas recirculation ratios and injection timings,” Fuel, vol. 332, p. 125986, Jan. 2023, doi:
10.1016/j.fuel.2022.125986.
[4] J. Li et al., “Effects of different injection timing on the performance, combustion and emission characteristics of diesel/ethanol/n-
butanol blended diesel engine based on multi-objective optimization theory,” Energy, vol. 260, p. 125056, Dec. 2022, doi:
10.1016/j.energy.2022.125056.
[5] G. P. Rao and L. S. V. Prasad, “Combined influence of compression ratio and exhaust gas recirculation on the diverse
characteristics of the diesel engine fueled with novel palmyra biodiesel blend,” Energy Conversion and Management: X, vol. 14,
p. 100185, May 2022, doi: 10.1016/j.ecmx.2022.100185.
[6] K. Yang et al., “Impact of natural gas injection timing on the combustion and emissions performance of a dual-direct-injection
diesel/natural gas engine,” Energy, vol. 270, p. 126813, May 2023, doi: 10.1016/j.energy.2023.126813.
[7] S. V. Channapattana, S. Campli, A. Madhusudhan, S. Notla, R. Arkerimath, and M. K. Tripathi, “Energy analysis of DI-CI engine
with nickel oxide nanoparticle added azadirachta indica biofuel at different static injection timing based on exergy,” Energy, vol.
267, p. 126622, Mar. 2023, doi: 10.1016/j.energy.2023.126622.
[8] H. Valera, D. Kumar, and A. K. Agarwal, “Evaluating the effect of variable methanol injection timings in a novel co-axial fuel
injection system equipped locomotive engine,” Journal of Cleaner Production, vol. 349, p. 131452, May 2022, doi:
10.1016/j.jclepro.2022.131452.
[9] P. K. Chaurasiya, S. K. Singh, R. Dwivedi, and R. V. Choudri, “Combustion and emission characteristics of diesel fuel blended
with raw jatropha, soybean and waste cooking oils,” Heliyon, vol. 5, no. 5, p. e01564, May 2019, doi:
10.1016/j.heliyon.2019.e01564.
[10] C. Adhikesavan, D. Ganesh, and V. C. Augustin, “Effect of quality of waste cooking oil on the properties of biodiesel, engine
performance and emissions,” Cleaner Chemical Engineering, vol. 4, p. 100070, Dec. 2022, doi: 10.1016/j.clce.2022.100070.
[11] U. Rajak et al., “Experimental and parametric studies on the effect of waste cooking oil methyl ester with diesel fuel in
compression ignition engine,” Sustainable Energy Technologies and Assessments, vol. 53, p. 102705, Oct. 2022, doi:
10.1016/j.seta.2022.102705.
[12] N. Krishania, U. Rajak, P. K. Chaurasiya, T. S. Singh, A. K. Birru, and T. N. Verma, “Investigations of spirulina, waste cooking
and animal fats blended biodiesel fuel on auto-ignition diesel engine performance, emission characteristics,” Fuel, vol. 276, p.
118123, Sep. 2020, doi: 10.1016/j.fuel.2020.118123.
[13] V. Sharma, A. K. Hossain, A. Ahmed, and A. Rezk, “Study on using graphene and graphite nanoparticles as fuel additives in
waste cooking oil biodiesel,” Fuel, vol. 328, p. 125270, Nov. 2022, doi: 10.1016/j.fuel.2022.125270.
[14] N. Seelam, S. K. Gugulothu, R. V. Reddy, and K. Jagadeshwar, “Influence of 1-pentanol as the renewable fuel blended with
hydrogen on the diesel engine characteristics and trade-off study with variable injection timing,” International Journal of
Hydrogen Energy, vol. 47, no. 20, pp. 11068–11082, Mar. 2022, doi: 10.1016/j.ijhydene.2022.01.148.
[15] Ü. Ağbulut, S. Sarıdemir, and S. Albayrak, “Experimental investigation of combustion, performance and emission characteristics
of a diesel engine fuelled with diesel–biodiesel–alcohol blends,” Journal of the Brazilian Society of Mechanical Sciences and
Engineering, vol. 41, no. 9, p. 389, Sep. 2019, doi: 10.1007/s40430-019-1891-8.
[16] A. Gharehghani and H. Pourrahmani, “Performance evaluation of diesel engines (PEDE) for a diesel-biodiesel fueled CI engine
using nano-particles additive,” Energy Conversion and Management, vol. 198, p. 111921, Oct. 2019, doi:
10.1016/j.enconman.2019.111921.
[17] A. Sharma and S. Murugan, “Combustion, performance and emission characteristics of a di diesel engine fuelled with non-
petroleum fuel: A study on the role of fuel injection timing,” Journal of the Energy Institute, vol. 88, no. 4, pp. 364–375, Nov.
2015, doi: 10.1016/j.joei.2014.11.006.
[18] R. A. Alenezi, A. M. Norkhizan, R. Mamat, Erdiwansyah, G. Najafi, and M. Mazlan, “Investigating the contribution of carbon
nanotubes and diesel-biodiesel blends to emission and combustion characteristics of diesel engine,” Fuel, vol. 285, p. 119046,
Feb. 2021, doi: 10.1016/j.fuel.2020.119046.
[19] Ü. Ağbulut, M. Karagöz, S. Sarıdemir, and A. Öztürk, “Impact of various metal-oxide based nanoparticles and biodiesel blends
on the combustion, performance, emission, vibration and noise characteristics of a CI engine,” Fuel, vol. 270, p. 117521, Jun.
2020, doi: 10.1016/j.fuel.2020.117521.
 ISSN: 2089-4864
Int J Reconfigurable & Embedded Syst, Vol. 12, No. 3, November 2023: 414-422
422
[20] M. Kumar, S. Bhowmik, and A. Paul, “Effect of pilot fuel injection pressure and injection timing on combustion, performance
and emission of hydrogen-biodiesel dual fuel engine,” International Journal of Hydrogen Energy, vol. 47, no. 68, pp. 29554–
29567, Aug. 2022, doi: 10.1016/j.ijhydene.2022.06.260.
[21] C. Park et al., “Effect of fuel injection timing and injection pressure on performance in a hydrogen direct injection engine,”
International Journal of Hydrogen Energy, vol. 47, no. 50, pp. 21552–21564, Jun. 2022, doi: 10.1016/j.ijhydene.2022.04.274.
[22] Z. Li et al., “Effects of fuel injection timings and methanol split ratio in M/D/M strategy on a diesel/methanol dual-fuel direct
injection engine,” Fuel, vol. 325, p. 124970, Oct. 2022, doi: 10.1016/j.fuel.2022.124970.
[23] Y. Wang, Y. Zhuang, M. Yao, Y. Qin, and Z. Zheng, “An experimental investigation into the soot particle emissions at early
injection timings in a single-cylinder research diesel engine,” Fuel, vol. 316, p. 123288, May 2022, doi:
10.1016/j.fuel.2022.123288.
[24] U. Öztürk, H. Hazar, and F. Yılmaz, “Comparative performance and emission characteristics of peanut seed oil methyl ester
(PSME) on a thermal isolated diesel engine,” Energy, vol. 167, pp. 260–268, Jan. 2019, doi: 10.1016/j.energy.2018.10.198.
[25] P. K. Chaurasiya, U. Rajak, I. Veza, T. N. Verma, and Ü. Ağbulut, “Influence of injection timing on performance, combustion
and emission characteristics of a diesel engine running on hydrogen-diethyl ether, n-butanol and biodiesel blends,” International
Journal of Hydrogen Energy, vol. 47, no. 41, pp. 18182–18193, May 2022, doi: 10.1016/j.ijhydene.2022.03.268.
[26] U. Rajak, P. Nashine, A. Dasore, R. Balijepalli, P. K. Chaurasiya, and T. N. Verma, “Numerical analysis of performance and
emission behavior of CI engine fueled with microalgae biodiesel blend,” Materials Today: Proceedings, vol. 49, pp. 301–306,
2021, doi: 10.1016/j.matpr.2021.02.104.
BIOGRAPHIES OF AUTHORS
Dvsrbm Subrahmanyam has completed his B.Tech. (mechanical) from
Bundelkhand University, Jhansi and M.E. (Machine Design) from Rajeev Gandhi Technical
University, Bhopal. He is presently pursuing Ph.D. in Mechanical Engineering at Annamalai
University, Chidambaram. His research intensifies thermal engineering and design. He can be
contacted at email: subhramanyasharma@gmail.com.
Dr. Jagadeesh Manikandan has completed his B.E. (Mechanical), M.E. (Energy
Engineering and Management), and Ph.D. (Mechanical) at Annamalai University,
Chidambaram, Tamil Nadu State, India. He is actively involved in technical research for more
than two decades. He has published more than 10 research papers in reputed journals and
Ph.D. scholars in mechanical engineering domain. At present, he is deputed to the Constituent
College of Anna University. He can be contacted at email: jmanikandanrishi@rediffmail.com.

More Related Content

Similar to Experimental study on the effects of injection timing using reuse of waste energy as a fuel on a diesel engine

IRJET- Effect of Copper Oxide and Carbon Nanotubes as Additives in Diesel Ble...
IRJET- Effect of Copper Oxide and Carbon Nanotubes as Additives in Diesel Ble...IRJET- Effect of Copper Oxide and Carbon Nanotubes as Additives in Diesel Ble...
IRJET- Effect of Copper Oxide and Carbon Nanotubes as Additives in Diesel Ble...
IRJET Journal
 
A Study of Performance and Emissions of Diesel Engine fuelled with neat Diese...
A Study of Performance and Emissions of Diesel Engine fuelled with neat Diese...A Study of Performance and Emissions of Diesel Engine fuelled with neat Diese...
A Study of Performance and Emissions of Diesel Engine fuelled with neat Diese...
IOSR Journals
 
Computer simulation of ci engine for diesel and biodisel blends
Computer simulation of ci engine for diesel and biodisel blendsComputer simulation of ci engine for diesel and biodisel blends
Computer simulation of ci engine for diesel and biodisel blends
Laukik Raut
 
K1303067985
K1303067985K1303067985
K1303067985
IOSR Journals
 
iaetsd Emission analysis of a single cylinder diesel engine using
iaetsd Emission analysis of a single cylinder diesel engine usingiaetsd Emission analysis of a single cylinder diesel engine using
iaetsd Emission analysis of a single cylinder diesel engine using
Iaetsd Iaetsd
 
Performance characteristics for the use of blended safflower oil in diesel en...
Performance characteristics for the use of blended safflower oil in diesel en...Performance characteristics for the use of blended safflower oil in diesel en...
Performance characteristics for the use of blended safflower oil in diesel en...
IAEME Publication
 
OPTIMIZATION OF STATIC INJECTION TIMING OF DIESEL ENGINE FUELLED WITH MAHUA B...
OPTIMIZATION OF STATIC INJECTION TIMING OF DIESEL ENGINE FUELLED WITH MAHUA B...OPTIMIZATION OF STATIC INJECTION TIMING OF DIESEL ENGINE FUELLED WITH MAHUA B...
OPTIMIZATION OF STATIC INJECTION TIMING OF DIESEL ENGINE FUELLED WITH MAHUA B...
Journal For Research
 
IRJET- Effect of Butanol and Di-Ethyl Ether Additives on the Performance and ...
IRJET- Effect of Butanol and Di-Ethyl Ether Additives on the Performance and ...IRJET- Effect of Butanol and Di-Ethyl Ether Additives on the Performance and ...
IRJET- Effect of Butanol and Di-Ethyl Ether Additives on the Performance and ...
IRJET Journal
 
ICME 2015 - Experimental Study on the Performance Characteristics and Emissio...
ICME 2015 - Experimental Study on the Performance Characteristics and Emissio...ICME 2015 - Experimental Study on the Performance Characteristics and Emissio...
ICME 2015 - Experimental Study on the Performance Characteristics and Emissio...
Ekramul Haque Ehite
 
EFFECT OF ADDITIVE AND RAW RUBBER SEED OIL MIXTURE IN A BIODIESEL
EFFECT OF ADDITIVE AND RAW RUBBER SEED OIL MIXTURE IN A BIODIESEL EFFECT OF ADDITIVE AND RAW RUBBER SEED OIL MIXTURE IN A BIODIESEL
EFFECT OF ADDITIVE AND RAW RUBBER SEED OIL MIXTURE IN A BIODIESEL
IAEME Publication
 
EXPERIMENTAL AND NUMERICAL INVESTIGATION OF COMBUSTION BEHAVIOUR IN DIESEL EN...
EXPERIMENTAL AND NUMERICAL INVESTIGATION OF COMBUSTION BEHAVIOUR IN DIESEL EN...EXPERIMENTAL AND NUMERICAL INVESTIGATION OF COMBUSTION BEHAVIOUR IN DIESEL EN...
EXPERIMENTAL AND NUMERICAL INVESTIGATION OF COMBUSTION BEHAVIOUR IN DIESEL EN...
Khatir NAIMA
 
Performance and emission characteristics of di ci diesel engine with pre
Performance and emission characteristics of di ci diesel engine with prePerformance and emission characteristics of di ci diesel engine with pre
Performance and emission characteristics of di ci diesel engine with pre
IAEME Publication
 
J1303036774
J1303036774J1303036774
J1303036774
IOSR Journals
 
STUDIES ON EXHAUST EMISSIONS OF CERAMIC COATED DI DIESEL ENGINE FUELLED WITH ...
STUDIES ON EXHAUST EMISSIONS OF CERAMIC COATED DI DIESEL ENGINE FUELLED WITH ...STUDIES ON EXHAUST EMISSIONS OF CERAMIC COATED DI DIESEL ENGINE FUELLED WITH ...
STUDIES ON EXHAUST EMISSIONS OF CERAMIC COATED DI DIESEL ENGINE FUELLED WITH ...
IAEME Publication
 
Modeling and Grey Relational Multi-response Optimization Performance Efficien...
Modeling and Grey Relational Multi-response Optimization Performance Efficien...Modeling and Grey Relational Multi-response Optimization Performance Efficien...
Modeling and Grey Relational Multi-response Optimization Performance Efficien...
IRJET Journal
 
G1303014145
G1303014145G1303014145
G1303014145
IOSR Journals
 
30120140501008
3012014050100830120140501008
30120140501008
IAEME Publication
 
Performance and emission study of jatropha biodiesel and its blends
Performance and emission study of jatropha biodiesel and its blendsPerformance and emission study of jatropha biodiesel and its blends
Performance and emission study of jatropha biodiesel and its blends
IAEME Publication
 
Performance and emission study of jatropha biodiesel and its blends
Performance and emission study of jatropha biodiesel and its blendsPerformance and emission study of jatropha biodiesel and its blends
Performance and emission study of jatropha biodiesel and its blends
IAEME Publication
 
Emission Analysis of Sapodilla seed oil as bio-diesel
Emission Analysis of Sapodilla seed oil as bio-dieselEmission Analysis of Sapodilla seed oil as bio-diesel
Emission Analysis of Sapodilla seed oil as bio-diesel
IJCMESJOURNAL
 

Similar to Experimental study on the effects of injection timing using reuse of waste energy as a fuel on a diesel engine (20)

IRJET- Effect of Copper Oxide and Carbon Nanotubes as Additives in Diesel Ble...
IRJET- Effect of Copper Oxide and Carbon Nanotubes as Additives in Diesel Ble...IRJET- Effect of Copper Oxide and Carbon Nanotubes as Additives in Diesel Ble...
IRJET- Effect of Copper Oxide and Carbon Nanotubes as Additives in Diesel Ble...
 
A Study of Performance and Emissions of Diesel Engine fuelled with neat Diese...
A Study of Performance and Emissions of Diesel Engine fuelled with neat Diese...A Study of Performance and Emissions of Diesel Engine fuelled with neat Diese...
A Study of Performance and Emissions of Diesel Engine fuelled with neat Diese...
 
Computer simulation of ci engine for diesel and biodisel blends
Computer simulation of ci engine for diesel and biodisel blendsComputer simulation of ci engine for diesel and biodisel blends
Computer simulation of ci engine for diesel and biodisel blends
 
K1303067985
K1303067985K1303067985
K1303067985
 
iaetsd Emission analysis of a single cylinder diesel engine using
iaetsd Emission analysis of a single cylinder diesel engine usingiaetsd Emission analysis of a single cylinder diesel engine using
iaetsd Emission analysis of a single cylinder diesel engine using
 
Performance characteristics for the use of blended safflower oil in diesel en...
Performance characteristics for the use of blended safflower oil in diesel en...Performance characteristics for the use of blended safflower oil in diesel en...
Performance characteristics for the use of blended safflower oil in diesel en...
 
OPTIMIZATION OF STATIC INJECTION TIMING OF DIESEL ENGINE FUELLED WITH MAHUA B...
OPTIMIZATION OF STATIC INJECTION TIMING OF DIESEL ENGINE FUELLED WITH MAHUA B...OPTIMIZATION OF STATIC INJECTION TIMING OF DIESEL ENGINE FUELLED WITH MAHUA B...
OPTIMIZATION OF STATIC INJECTION TIMING OF DIESEL ENGINE FUELLED WITH MAHUA B...
 
IRJET- Effect of Butanol and Di-Ethyl Ether Additives on the Performance and ...
IRJET- Effect of Butanol and Di-Ethyl Ether Additives on the Performance and ...IRJET- Effect of Butanol and Di-Ethyl Ether Additives on the Performance and ...
IRJET- Effect of Butanol and Di-Ethyl Ether Additives on the Performance and ...
 
ICME 2015 - Experimental Study on the Performance Characteristics and Emissio...
ICME 2015 - Experimental Study on the Performance Characteristics and Emissio...ICME 2015 - Experimental Study on the Performance Characteristics and Emissio...
ICME 2015 - Experimental Study on the Performance Characteristics and Emissio...
 
EFFECT OF ADDITIVE AND RAW RUBBER SEED OIL MIXTURE IN A BIODIESEL
EFFECT OF ADDITIVE AND RAW RUBBER SEED OIL MIXTURE IN A BIODIESEL EFFECT OF ADDITIVE AND RAW RUBBER SEED OIL MIXTURE IN A BIODIESEL
EFFECT OF ADDITIVE AND RAW RUBBER SEED OIL MIXTURE IN A BIODIESEL
 
EXPERIMENTAL AND NUMERICAL INVESTIGATION OF COMBUSTION BEHAVIOUR IN DIESEL EN...
EXPERIMENTAL AND NUMERICAL INVESTIGATION OF COMBUSTION BEHAVIOUR IN DIESEL EN...EXPERIMENTAL AND NUMERICAL INVESTIGATION OF COMBUSTION BEHAVIOUR IN DIESEL EN...
EXPERIMENTAL AND NUMERICAL INVESTIGATION OF COMBUSTION BEHAVIOUR IN DIESEL EN...
 
Performance and emission characteristics of di ci diesel engine with pre
Performance and emission characteristics of di ci diesel engine with prePerformance and emission characteristics of di ci diesel engine with pre
Performance and emission characteristics of di ci diesel engine with pre
 
J1303036774
J1303036774J1303036774
J1303036774
 
STUDIES ON EXHAUST EMISSIONS OF CERAMIC COATED DI DIESEL ENGINE FUELLED WITH ...
STUDIES ON EXHAUST EMISSIONS OF CERAMIC COATED DI DIESEL ENGINE FUELLED WITH ...STUDIES ON EXHAUST EMISSIONS OF CERAMIC COATED DI DIESEL ENGINE FUELLED WITH ...
STUDIES ON EXHAUST EMISSIONS OF CERAMIC COATED DI DIESEL ENGINE FUELLED WITH ...
 
Modeling and Grey Relational Multi-response Optimization Performance Efficien...
Modeling and Grey Relational Multi-response Optimization Performance Efficien...Modeling and Grey Relational Multi-response Optimization Performance Efficien...
Modeling and Grey Relational Multi-response Optimization Performance Efficien...
 
G1303014145
G1303014145G1303014145
G1303014145
 
30120140501008
3012014050100830120140501008
30120140501008
 
Performance and emission study of jatropha biodiesel and its blends
Performance and emission study of jatropha biodiesel and its blendsPerformance and emission study of jatropha biodiesel and its blends
Performance and emission study of jatropha biodiesel and its blends
 
Performance and emission study of jatropha biodiesel and its blends
Performance and emission study of jatropha biodiesel and its blendsPerformance and emission study of jatropha biodiesel and its blends
Performance and emission study of jatropha biodiesel and its blends
 
Emission Analysis of Sapodilla seed oil as bio-diesel
Emission Analysis of Sapodilla seed oil as bio-dieselEmission Analysis of Sapodilla seed oil as bio-diesel
Emission Analysis of Sapodilla seed oil as bio-diesel
 

More from International Journal of Reconfigurable and Embedded Systems

Telugu letters dataset and parallel deep convolutional neural network with a...
Telugu letters dataset and parallel deep convolutional neural  network with a...Telugu letters dataset and parallel deep convolutional neural  network with a...
Telugu letters dataset and parallel deep convolutional neural network with a...
International Journal of Reconfigurable and Embedded Systems
 
Task level energy and performance assurance workload scheduling model in dis...
Task level energy and performance assurance workload  scheduling model in dis...Task level energy and performance assurance workload  scheduling model in dis...
Task level energy and performance assurance workload scheduling model in dis...
International Journal of Reconfigurable and Embedded Systems
 
Affective analysis in machine learning using AMIGOS with Gaussian expectatio...
Affective analysis in machine learning using AMIGOS with  Gaussian expectatio...Affective analysis in machine learning using AMIGOS with  Gaussian expectatio...
Affective analysis in machine learning using AMIGOS with Gaussian expectatio...
International Journal of Reconfigurable and Embedded Systems
 
An approach to diagnosis of prostate cancer using fuzzy logic
An approach to diagnosis of prostate cancer using fuzzy logicAn approach to diagnosis of prostate cancer using fuzzy logic
An approach to diagnosis of prostate cancer using fuzzy logic
International Journal of Reconfigurable and Embedded Systems
 
Deep convolutional neural network framework with multi-modal fusion for Alzhe...
Deep convolutional neural network framework with multi-modal fusion for Alzhe...Deep convolutional neural network framework with multi-modal fusion for Alzhe...
Deep convolutional neural network framework with multi-modal fusion for Alzhe...
International Journal of Reconfigurable and Embedded Systems
 
AnoMalNet: outlier detection based malaria cell image classification method l...
AnoMalNet: outlier detection based malaria cell image classification method l...AnoMalNet: outlier detection based malaria cell image classification method l...
AnoMalNet: outlier detection based malaria cell image classification method l...
International Journal of Reconfigurable and Embedded Systems
 
Accurate plant species analysis for plant classification using convolutional...
Accurate plant species analysis for plant classification using  convolutional...Accurate plant species analysis for plant classification using  convolutional...
Accurate plant species analysis for plant classification using convolutional...
International Journal of Reconfigurable and Embedded Systems
 
Design of access control framework for big data as a service platform
Design of access control framework for big data as a service platformDesign of access control framework for big data as a service platform
Design of access control framework for big data as a service platform
International Journal of Reconfigurable and Embedded Systems
 
Proximate node aware optimal and secure data aggregation in wireless sensor ...
Proximate node aware optimal and secure data aggregation in  wireless sensor ...Proximate node aware optimal and secure data aggregation in  wireless sensor ...
Proximate node aware optimal and secure data aggregation in wireless sensor ...
International Journal of Reconfigurable and Embedded Systems
 
Hyperelliptic curve based authentication for the internet of drones
Hyperelliptic curve based authentication for the internet of  dronesHyperelliptic curve based authentication for the internet of  drones
Hyperelliptic curve based authentication for the internet of drones
International Journal of Reconfigurable and Embedded Systems
 
Remote surveillance of enclosed and open architectures using unmanned vehicl...
Remote surveillance of enclosed and open architectures using  unmanned vehicl...Remote surveillance of enclosed and open architectures using  unmanned vehicl...
Remote surveillance of enclosed and open architectures using unmanned vehicl...
International Journal of Reconfigurable and Embedded Systems
 
Innovative systems for the detection of air particles in the quarries of the...
Innovative systems for the detection of air particles in the  quarries of the...Innovative systems for the detection of air particles in the  quarries of the...
Innovative systems for the detection of air particles in the quarries of the...
International Journal of Reconfigurable and Embedded Systems
 
Design and build an airbag system for elderly fall protection using the MPU6...
Design and build an airbag system for elderly fall protection  using the MPU6...Design and build an airbag system for elderly fall protection  using the MPU6...
Design and build an airbag system for elderly fall protection using the MPU6...
International Journal of Reconfigurable and Embedded Systems
 
Design of Arduino UNO based smart irrigation system for real time applications
Design of Arduino UNO based smart irrigation system for real  time applicationsDesign of Arduino UNO based smart irrigation system for real  time applications
Design of Arduino UNO based smart irrigation system for real time applications
International Journal of Reconfigurable and Embedded Systems
 
C4O: chain-based cooperative clustering using coati optimization algorithm i...
C4O: chain-based cooperative clustering using coati  optimization algorithm i...C4O: chain-based cooperative clustering using coati  optimization algorithm i...
C4O: chain-based cooperative clustering using coati optimization algorithm i...
International Journal of Reconfigurable and Embedded Systems
 
Radio frequency identification based materials tracking system for construct...
Radio frequency identification based materials tracking system  for construct...Radio frequency identification based materials tracking system  for construct...
Radio frequency identification based materials tracking system for construct...
International Journal of Reconfigurable and Embedded Systems
 
Machine learning classifiers for fall detection leveraging LoRa communicatio...
Machine learning classifiers for fall detection leveraging LoRa  communicatio...Machine learning classifiers for fall detection leveraging LoRa  communicatio...
Machine learning classifiers for fall detection leveraging LoRa communicatio...
International Journal of Reconfigurable and Embedded Systems
 
Efficient very large-scale integration architecture design of proportionate-...
Efficient very large-scale integration architecture design of  proportionate-...Efficient very large-scale integration architecture design of  proportionate-...
Efficient very large-scale integration architecture design of proportionate-...
International Journal of Reconfigurable and Embedded Systems
 
Role of tuning techniques in advancing the performance of negative capacitanc...
Role of tuning techniques in advancing the performance of negative capacitanc...Role of tuning techniques in advancing the performance of negative capacitanc...
Role of tuning techniques in advancing the performance of negative capacitanc...
International Journal of Reconfigurable and Embedded Systems
 
Design and development of control and monitoring hydroponic system
Design and development of control and monitoring hydroponic  systemDesign and development of control and monitoring hydroponic  system
Design and development of control and monitoring hydroponic system
International Journal of Reconfigurable and Embedded Systems
 

More from International Journal of Reconfigurable and Embedded Systems (20)

Telugu letters dataset and parallel deep convolutional neural network with a...
Telugu letters dataset and parallel deep convolutional neural  network with a...Telugu letters dataset and parallel deep convolutional neural  network with a...
Telugu letters dataset and parallel deep convolutional neural network with a...
 
Task level energy and performance assurance workload scheduling model in dis...
Task level energy and performance assurance workload  scheduling model in dis...Task level energy and performance assurance workload  scheduling model in dis...
Task level energy and performance assurance workload scheduling model in dis...
 
Affective analysis in machine learning using AMIGOS with Gaussian expectatio...
Affective analysis in machine learning using AMIGOS with  Gaussian expectatio...Affective analysis in machine learning using AMIGOS with  Gaussian expectatio...
Affective analysis in machine learning using AMIGOS with Gaussian expectatio...
 
An approach to diagnosis of prostate cancer using fuzzy logic
An approach to diagnosis of prostate cancer using fuzzy logicAn approach to diagnosis of prostate cancer using fuzzy logic
An approach to diagnosis of prostate cancer using fuzzy logic
 
Deep convolutional neural network framework with multi-modal fusion for Alzhe...
Deep convolutional neural network framework with multi-modal fusion for Alzhe...Deep convolutional neural network framework with multi-modal fusion for Alzhe...
Deep convolutional neural network framework with multi-modal fusion for Alzhe...
 
AnoMalNet: outlier detection based malaria cell image classification method l...
AnoMalNet: outlier detection based malaria cell image classification method l...AnoMalNet: outlier detection based malaria cell image classification method l...
AnoMalNet: outlier detection based malaria cell image classification method l...
 
Accurate plant species analysis for plant classification using convolutional...
Accurate plant species analysis for plant classification using  convolutional...Accurate plant species analysis for plant classification using  convolutional...
Accurate plant species analysis for plant classification using convolutional...
 
Design of access control framework for big data as a service platform
Design of access control framework for big data as a service platformDesign of access control framework for big data as a service platform
Design of access control framework for big data as a service platform
 
Proximate node aware optimal and secure data aggregation in wireless sensor ...
Proximate node aware optimal and secure data aggregation in  wireless sensor ...Proximate node aware optimal and secure data aggregation in  wireless sensor ...
Proximate node aware optimal and secure data aggregation in wireless sensor ...
 
Hyperelliptic curve based authentication for the internet of drones
Hyperelliptic curve based authentication for the internet of  dronesHyperelliptic curve based authentication for the internet of  drones
Hyperelliptic curve based authentication for the internet of drones
 
Remote surveillance of enclosed and open architectures using unmanned vehicl...
Remote surveillance of enclosed and open architectures using  unmanned vehicl...Remote surveillance of enclosed and open architectures using  unmanned vehicl...
Remote surveillance of enclosed and open architectures using unmanned vehicl...
 
Innovative systems for the detection of air particles in the quarries of the...
Innovative systems for the detection of air particles in the  quarries of the...Innovative systems for the detection of air particles in the  quarries of the...
Innovative systems for the detection of air particles in the quarries of the...
 
Design and build an airbag system for elderly fall protection using the MPU6...
Design and build an airbag system for elderly fall protection  using the MPU6...Design and build an airbag system for elderly fall protection  using the MPU6...
Design and build an airbag system for elderly fall protection using the MPU6...
 
Design of Arduino UNO based smart irrigation system for real time applications
Design of Arduino UNO based smart irrigation system for real  time applicationsDesign of Arduino UNO based smart irrigation system for real  time applications
Design of Arduino UNO based smart irrigation system for real time applications
 
C4O: chain-based cooperative clustering using coati optimization algorithm i...
C4O: chain-based cooperative clustering using coati  optimization algorithm i...C4O: chain-based cooperative clustering using coati  optimization algorithm i...
C4O: chain-based cooperative clustering using coati optimization algorithm i...
 
Radio frequency identification based materials tracking system for construct...
Radio frequency identification based materials tracking system  for construct...Radio frequency identification based materials tracking system  for construct...
Radio frequency identification based materials tracking system for construct...
 
Machine learning classifiers for fall detection leveraging LoRa communicatio...
Machine learning classifiers for fall detection leveraging LoRa  communicatio...Machine learning classifiers for fall detection leveraging LoRa  communicatio...
Machine learning classifiers for fall detection leveraging LoRa communicatio...
 
Efficient very large-scale integration architecture design of proportionate-...
Efficient very large-scale integration architecture design of  proportionate-...Efficient very large-scale integration architecture design of  proportionate-...
Efficient very large-scale integration architecture design of proportionate-...
 
Role of tuning techniques in advancing the performance of negative capacitanc...
Role of tuning techniques in advancing the performance of negative capacitanc...Role of tuning techniques in advancing the performance of negative capacitanc...
Role of tuning techniques in advancing the performance of negative capacitanc...
 
Design and development of control and monitoring hydroponic system
Design and development of control and monitoring hydroponic  systemDesign and development of control and monitoring hydroponic  system
Design and development of control and monitoring hydroponic system
 

Recently uploaded

Impartiality as per ISO /IEC 17025:2017 Standard
Impartiality as per ISO /IEC 17025:2017 StandardImpartiality as per ISO /IEC 17025:2017 Standard
Impartiality as per ISO /IEC 17025:2017 Standard
MuhammadJazib15
 
Determination of Equivalent Circuit parameters and performance characteristic...
Determination of Equivalent Circuit parameters and performance characteristic...Determination of Equivalent Circuit parameters and performance characteristic...
Determination of Equivalent Circuit parameters and performance characteristic...
pvpriya2
 
DELTA V MES EMERSON EDUARDO RODRIGUES ENGINEER
DELTA V MES EMERSON EDUARDO RODRIGUES ENGINEERDELTA V MES EMERSON EDUARDO RODRIGUES ENGINEER
DELTA V MES EMERSON EDUARDO RODRIGUES ENGINEER
EMERSON EDUARDO RODRIGUES
 
ITSM Integration with MuleSoft.pptx
ITSM  Integration with MuleSoft.pptxITSM  Integration with MuleSoft.pptx
ITSM Integration with MuleSoft.pptx
VANDANAMOHANGOUDA
 
Properties of Fluids, Fluid Statics, Pressure Measurement
Properties of Fluids, Fluid Statics, Pressure MeasurementProperties of Fluids, Fluid Statics, Pressure Measurement
Properties of Fluids, Fluid Statics, Pressure Measurement
Indrajeet sahu
 
Introduction to Artificial Intelligence.
Introduction to Artificial Intelligence.Introduction to Artificial Intelligence.
Introduction to Artificial Intelligence.
supriyaDicholkar1
 
AN INTRODUCTION OF AI & SEARCHING TECHIQUES
AN INTRODUCTION OF AI & SEARCHING TECHIQUESAN INTRODUCTION OF AI & SEARCHING TECHIQUES
AN INTRODUCTION OF AI & SEARCHING TECHIQUES
drshikhapandey2022
 
Beckhoff Programmable Logic Control Overview Presentation
Beckhoff Programmable Logic Control Overview PresentationBeckhoff Programmable Logic Control Overview Presentation
Beckhoff Programmable Logic Control Overview Presentation
VanTuDuong1
 
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Transcat
 
FULL STACK PROGRAMMING - Both Front End and Back End
FULL STACK PROGRAMMING - Both Front End and Back EndFULL STACK PROGRAMMING - Both Front End and Back End
FULL STACK PROGRAMMING - Both Front End and Back End
PreethaV16
 
UNIT-III- DATA CONVERTERS ANALOG TO DIGITAL CONVERTER
UNIT-III- DATA CONVERTERS ANALOG TO DIGITAL CONVERTERUNIT-III- DATA CONVERTERS ANALOG TO DIGITAL CONVERTER
UNIT-III- DATA CONVERTERS ANALOG TO DIGITAL CONVERTER
vmspraneeth
 
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
PriyankaKilaniya
 
Introduction to Computer Networks & OSI MODEL.ppt
Introduction to Computer Networks & OSI MODEL.pptIntroduction to Computer Networks & OSI MODEL.ppt
Introduction to Computer Networks & OSI MODEL.ppt
Dwarkadas J Sanghvi College of Engineering
 
Butterfly Valves Manufacturer (LBF Series).pdf
Butterfly Valves Manufacturer (LBF Series).pdfButterfly Valves Manufacturer (LBF Series).pdf
Butterfly Valves Manufacturer (LBF Series).pdf
Lubi Valves
 
SENTIMENT ANALYSIS ON PPT AND Project template_.pptx
SENTIMENT ANALYSIS ON PPT AND Project template_.pptxSENTIMENT ANALYSIS ON PPT AND Project template_.pptx
SENTIMENT ANALYSIS ON PPT AND Project template_.pptx
b0754201
 
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
Paris Salesforce Developer Group
 
Blood finder application project report (1).pdf
Blood finder application project report (1).pdfBlood finder application project report (1).pdf
Blood finder application project report (1).pdf
Kamal Acharya
 
Object Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOADObject Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOAD
PreethaV16
 
Call For Paper -3rd International Conference on Artificial Intelligence Advan...
Call For Paper -3rd International Conference on Artificial Intelligence Advan...Call For Paper -3rd International Conference on Artificial Intelligence Advan...
Call For Paper -3rd International Conference on Artificial Intelligence Advan...
ijseajournal
 
DESIGN AND MANUFACTURE OF CEILING BOARD USING SAWDUST AND WASTE CARTON MATERI...
DESIGN AND MANUFACTURE OF CEILING BOARD USING SAWDUST AND WASTE CARTON MATERI...DESIGN AND MANUFACTURE OF CEILING BOARD USING SAWDUST AND WASTE CARTON MATERI...
DESIGN AND MANUFACTURE OF CEILING BOARD USING SAWDUST AND WASTE CARTON MATERI...
OKORIE1
 

Recently uploaded (20)

Impartiality as per ISO /IEC 17025:2017 Standard
Impartiality as per ISO /IEC 17025:2017 StandardImpartiality as per ISO /IEC 17025:2017 Standard
Impartiality as per ISO /IEC 17025:2017 Standard
 
Determination of Equivalent Circuit parameters and performance characteristic...
Determination of Equivalent Circuit parameters and performance characteristic...Determination of Equivalent Circuit parameters and performance characteristic...
Determination of Equivalent Circuit parameters and performance characteristic...
 
DELTA V MES EMERSON EDUARDO RODRIGUES ENGINEER
DELTA V MES EMERSON EDUARDO RODRIGUES ENGINEERDELTA V MES EMERSON EDUARDO RODRIGUES ENGINEER
DELTA V MES EMERSON EDUARDO RODRIGUES ENGINEER
 
ITSM Integration with MuleSoft.pptx
ITSM  Integration with MuleSoft.pptxITSM  Integration with MuleSoft.pptx
ITSM Integration with MuleSoft.pptx
 
Properties of Fluids, Fluid Statics, Pressure Measurement
Properties of Fluids, Fluid Statics, Pressure MeasurementProperties of Fluids, Fluid Statics, Pressure Measurement
Properties of Fluids, Fluid Statics, Pressure Measurement
 
Introduction to Artificial Intelligence.
Introduction to Artificial Intelligence.Introduction to Artificial Intelligence.
Introduction to Artificial Intelligence.
 
AN INTRODUCTION OF AI & SEARCHING TECHIQUES
AN INTRODUCTION OF AI & SEARCHING TECHIQUESAN INTRODUCTION OF AI & SEARCHING TECHIQUES
AN INTRODUCTION OF AI & SEARCHING TECHIQUES
 
Beckhoff Programmable Logic Control Overview Presentation
Beckhoff Programmable Logic Control Overview PresentationBeckhoff Programmable Logic Control Overview Presentation
Beckhoff Programmable Logic Control Overview Presentation
 
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
 
FULL STACK PROGRAMMING - Both Front End and Back End
FULL STACK PROGRAMMING - Both Front End and Back EndFULL STACK PROGRAMMING - Both Front End and Back End
FULL STACK PROGRAMMING - Both Front End and Back End
 
UNIT-III- DATA CONVERTERS ANALOG TO DIGITAL CONVERTER
UNIT-III- DATA CONVERTERS ANALOG TO DIGITAL CONVERTERUNIT-III- DATA CONVERTERS ANALOG TO DIGITAL CONVERTER
UNIT-III- DATA CONVERTERS ANALOG TO DIGITAL CONVERTER
 
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
 
Introduction to Computer Networks & OSI MODEL.ppt
Introduction to Computer Networks & OSI MODEL.pptIntroduction to Computer Networks & OSI MODEL.ppt
Introduction to Computer Networks & OSI MODEL.ppt
 
Butterfly Valves Manufacturer (LBF Series).pdf
Butterfly Valves Manufacturer (LBF Series).pdfButterfly Valves Manufacturer (LBF Series).pdf
Butterfly Valves Manufacturer (LBF Series).pdf
 
SENTIMENT ANALYSIS ON PPT AND Project template_.pptx
SENTIMENT ANALYSIS ON PPT AND Project template_.pptxSENTIMENT ANALYSIS ON PPT AND Project template_.pptx
SENTIMENT ANALYSIS ON PPT AND Project template_.pptx
 
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
 
Blood finder application project report (1).pdf
Blood finder application project report (1).pdfBlood finder application project report (1).pdf
Blood finder application project report (1).pdf
 
Object Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOADObject Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOAD
 
Call For Paper -3rd International Conference on Artificial Intelligence Advan...
Call For Paper -3rd International Conference on Artificial Intelligence Advan...Call For Paper -3rd International Conference on Artificial Intelligence Advan...
Call For Paper -3rd International Conference on Artificial Intelligence Advan...
 
DESIGN AND MANUFACTURE OF CEILING BOARD USING SAWDUST AND WASTE CARTON MATERI...
DESIGN AND MANUFACTURE OF CEILING BOARD USING SAWDUST AND WASTE CARTON MATERI...DESIGN AND MANUFACTURE OF CEILING BOARD USING SAWDUST AND WASTE CARTON MATERI...
DESIGN AND MANUFACTURE OF CEILING BOARD USING SAWDUST AND WASTE CARTON MATERI...
 

Experimental study on the effects of injection timing using reuse of waste energy as a fuel on a diesel engine

  • 1. International Journal of Reconfigurable and Embedded Systems (IJRES) Vol. 12, No. 3, November 2023, pp. 414~422 ISSN: 2089-4864, DOI: 10.11591/ijres.v12.i3pp414-422  414 Journal homepage: http://ijres.iaescore.com Experimental study on the effects of injection timing using reuse of waste energy as a fuel on a diesel engine Dvsrbm Subrahmanyam, Jagadeesh Manikandan Department of Mechanical Engineering, Annamalai University, Annamalainagar, India Article Info ABSTRACT Article history: Received Feb 18, 2023 Revised Mar 29, 2023 Accepted Apr 17, 2023 In the course of this study, an eco-friendly alternative fuel was manufactured by transesterifying waste oils with the help of alcohol and a catalyst. As required by the American society for testing and materials (ASTM) requirements, we conducted an analysis on the acquired waste cooking oil biofuel (WOB) to determine its most important properties. We were successful in producing three separate fuel mixes, which we will refer to as BF100WOB0 (100% diesel), BF80WOB20 (80% diesel and 20% biofuel), and BF0WOB100 (100% biofuel) respectively. This research used a diesel engine with direct injection; the engine had a single cylinder, and the computer that operated it was located in the cabin. The results showed that the BF80WOB20 had a 3.8% increase in fuel consumption and a 1.4% loss in thermal efficiency while it was at a temperature of 26.5° b top dead center (TDC) conditions with low injection time led to decreased levels of both nitrogen oxides (NOx) and hartridge smoke level (HSL) emissions. The addition of 20% WOB to the fundamental fuel improved the engine combustion characteristics at 26.5° b TDC. This improvement occurred at the same time. Keywords: Biofuels Diesel engine Nitrogen oxides emissions Thermal efficiency Waste energy reuse This is an open access article under the CC BY-SA license. Corresponding Author: Dvsrbm Subrahmanyam Department of Mechanical Engineering, Annamalai University Annamalainagar-608002, Chidambaram, Tamil Nadu, India Email: subhramanyasharma@gmail.com NOMENCLATURES BF Base fuel CR Compression ratio BTE Brake thermal efficiency HSL Hartridge smoke level BF100WOB0 100% of base fuel and 0% of waste oil biodiesel ITs Injection timings BF80WOB20 80% of base fuel and 20% of waste oil biodiesel MROPR Max. rise of pressure rate BF0WOB100 0% of base fuel and100% of waste oil biodiesel NOx Nitrogen oxides b TDC Before top dead center SFC Specific fuel consumption WOB Waste oil biodiesel 1. INTRODUCTION Global warming and its harmful consequences on the environment and human health are making people increasingly aware of the problems that come with the modern world's reliance on fossil fuels. Less use of fossil fuels might lower dangerous emissions by a large amount. It might be done by employing clean energy instead of fossil fuels [1], [2]. Moreover, particulate matter (PM) and nitrogen oxides released by diesel vehicles pose a threat to human health, which has slowed the development of diesel vehicles (NOx).
  • 2. Int J Reconfigurable & Embedded Syst ISSN: 2089-4864  Experimental study on the effects of injection timing using reuse of waste … (Dvsrbm Subrahmanyam) 415 Diesel engines are the cause of about 90% of NOx and PM emissions. PM is linked to a wide range of bad things that happen to people's health when they breathe it in. It causes respiratory and cardiovascular diseases [3], [4]. In this way, research has shown that using diesel biodiesel blends can cut carbon monoxide (CO), hydrocarbons, and particulate matter emissions by a lot. This is because biodiesel already has oxygen in it. The authors were also told about some other fuels that are better for the environment [5]. Yang et al. [6] we looked at how the timing of the injections influenced the combustion and emissions of a dual-direct-injection diesel/NG engine that was running hard. The data reveal that making the brakes more thermally efficient caused the CO2 emissions to rise from 15.6% to 6.4%. Overall, the time of NG injection may be shifted forward to make the thermal efficiency better. Channapattana et al. [7] added nickel oxide nanoparticles to a blend of Neem biodiesel and diesel fuel and ran it through a direct injection-compression ignition engine (DI- CI) engine at different fuel injection times (19, 23 and 27 b top dead center (TDC)). Based on their studies of performance and thermodynamics, they came to the conclusion that when Neem biodiesel is mixed with diesel, the thermal efficiency goes up and the amount of radiation loss goes down. Valera et al. [8] mixed methanol with diesel fuel and ran it through a DI-CI engine at different methanol injection rates. Based on their studies of how things work, they found that when methanol is added to diesel, the NOx emissions go down. Chaurasiya et al. [9] mixed 5% hydrogen, 5% diethyl ether, 5% n-butanol, and 5% microalgae with 95% diesel fuel, then ran the mixture through a DI-CI engine at different injection times (17.5-29.5° b TDC). Based on their studies of how things work, they found that the injection timings must be moved back to lower the charge temperature and reduce NOX emissions. The proposed effort intends to establish a methodical approach to the use of used cooking oil as a biofuel for the partial replacement of diesel fuel in CI engines. This will be accomplished via the use of a CI engine. In addition, a unique technique is used by changing the injection time (18.5-26.5° b TDC) at varying concentrations, and this study is expected to be the first of its sort to be published using BF80WOB20 mix. In light of this, the purpose of this study is to investigate the performance, combustion, and emission characteristics of a waste cooking oil biofuel mix with various injection timings. 2. PRODUCTION OF WASTE PLASTIC OIL BIODIESEL AND EXPERIMENTAL 2.1. Production of waste cooking oil biodiesel Palm oil, sunflower oil, mustard oil, and soya oil were chosen for this study because they may be used in many different ways in the kitchen and have a broad variety of fatty acid profiles. In the Indian state of Tamil Nadu, there is a city called Chidambaram. In Chidambaram, there is a market where the oils were bought. Biodiesel was made by melting down leftover cooking oils and putting them together with alcohol and potassium hydroxide. Through a chemical process called transesterification, used cooking oils were turned into waste cooking oil biodiesel (also called WOB) [10]–[12]. Before the transesterification procedure could start, the WOB samples were filtered to get rid of any contaminants that could have been there. Table 1 shows what the fuel is and how it works. The process of preparing biofuel is shown in Figure 1. Figure 2 shows a sample of fuel. Figure 2(a) contains Basefuel100 (BF100) and Figure 2(b) contains WOB100. Table 1. Belongings of various energies Property BF100WOB0 BF80WOB20 BF0WOB100 Cetane number 45-52 52.9 49.5 Density (kg/m3 ) at 15 C 838 849.5 874.75 Flash point (C) 61.2 52.6 36.5 Viscosity (mm2 /s) at 40 C 3.8 3.59 3.64 Calorific value (MJ/kg) 45.5 44.6 40.4 Figure 1. The process of preparing biofuel
  • 3.  ISSN: 2089-4864 Int J Reconfigurable & Embedded Syst, Vol. 12, No. 3, November 2023: 414-422 416 (a) (b) Figure 2. Fuel sample of (a) Basefuel100 and (b) WOB100 2.2. Experimental test ring A simplified diagram of the testing setup is shown in Figure 3. A summary of the test environment's capabilities is provided in Table 2. The engine was loaded using a dynamometer. The amount of gasoline flowing through the system at any one moment was determined with the use of a fuel meter. In order to gauge the air flow rate, an air box was also fitted to the motor. The temperature of the exhaust gas was measured with the help of a thermocouple and a digital temperature monitor. The cylinder pressure was measured and recorded with the use of a charge amplifier and a pressure transducer that was affixed to the engine's cylinder head. NOx, HC, and CO exhaust levels were measured using an exhaust gas analyzer (Testo-350). Each test was conducted using an interface for a data collection system at the maximum engine speed of 1,500 rpm. Figure 3. Test setup Table 2. Provisions of assessment machine Limits Limits value Engine stroke/cylinder Four/one Higher than fuel injection pressure 230 bar Rated speed 1,500 rpm Dimension of bore/stroke 80/110 mm Advanced fuel injection timing 17.5-27.5° b TDC Compression ratio 18.5 Method of cooling Water
  • 4. Int J Reconfigurable & Embedded Syst ISSN: 2089-4864  Experimental study on the effects of injection timing using reuse of waste … (Dvsrbm Subrahmanyam) 417 2.3. Experimental error analysis An uncertainty analysis is of utmost significance for the experimental investigations since the outcome of the analysis provides the readers with an idea about the correctness and repeatability of the data that were delivered to them. Accordingly, a total uncertainty value of the findings is computed by making use (1) [12] and basing it on the information shown in Table 3. The section of the text devoted to the nomenclature provides readers with an explanation of the symbols. According to (1), the total amount of suppositional uncertainty is 2.36%. T = [(E1)2 + (E2)2 + ⋯ (En)2]1/2 (1) Table 3. Uncertainties Apparatus Uncertainty Angle encoder ±0.2% Pressure ±0.5% Smoke ± 1.0% Temperature ±0.5% CO2 ± 0.5-1.0% NOX ± 0.5-1.0% Burette measurements. ±1.0% Load meter ±0.2% Indicator of speed ±1.0% 3. RESULTS AND DISCUSSION 3.1. Specific fuel consumption The values of specific fuel consumption (SFC) are shown in Figure 4 for a variety of injection timings when Figure 4 shows the values of SFC for a number of different injection timings while the engine was running under full load conditions. When the engine was operating at its maximum load, for instance, the SFC values for BF80WOB20 were higher than those of BF100WOB0 (408.4, 257.3, 252, 250.2, and 244.7 g/kWh) at 18.5, 20.5, 22.5, 24.5, and 26.5° b TDC respectively, and the SFC was higher by 4.3% at an injection timing of 26.5° b DTC. Because biodiesel has a lower heating value than regular diesel, it takes more fuel to create the same amount of heat, which leads to an increase in the SFC. This is one of the reasons why biodiesel contributes to an increase in greenhouse gas emissions. The value of the SFC increases if there is a higher quantity of each component present in the combination. When compared to diesel, the study shows that proper ignition leads to a drop in SFC concentration with increasing load. This phenomenon is not seen with diesel. The higher density of biodiesel fuel in comparison to gasoline fuel is another factor that contributes to the rise in SFC that occurs with increasing percentages of biodiesel [13]. When the engine was operating at its maximum capacity, a rise in the temperature within the cylinder as well as an increase in the quantity of oxygen contained in the alternative contributed to an improvement in the mixes' fuel consumption [14]. Figure 4. Specific fuel consumption with air force institute of technology (AFIT’S) 18.5 20.5 22.5 24.5 26.5 0 200 400 600 800 SFC (g/kWh) ITs (deg.) BF100WOB0 BF80WOB20 BF0WOB100
  • 5.  ISSN: 2089-4864 Int J Reconfigurable & Embedded Syst, Vol. 12, No. 3, November 2023: 414-422 418 3.2. Brake thermal efficiency Figure 5 presents the values of brake thermal efficiency (BTE) for a number of different injection timings. The ratio of the power output of the engine to the energy content of the fuel that is injected into the combustion chamber is referred to as the BTE. The mass flow rate of the fuel, in combination with the fuel's lower heating value, is used to calculate the total amount of energy that the fuel contains. The biodiesel showed a modest improvement in terms of BTE, which may be attributed to the fact that there was less fuel atomization in the combustion cylinder. This might be due to the fact that diesel has a lower viscosity than biodiesel [13], which is a fuel made from vegetable oils. While biodiesel has a greater viscosity. The BTE of the examined gasoline mixes is shown in Figure 4 for a variety of different engine loads. The braking energy transfer efficiency, also known as the BTE, is measured as the ratio of the braking power to the heat equivalent of the fuel that was used. Due to the lower energy contents, the BTE for all fuel blends was generally lower than that of diesel fuel [14]. If we compare BF80WOB20 and BF100WOB0 at full load, we find that at 18.5° and 26.5° b DTC earlier injection time, the BTE values for the latter are lower by 2.0% and 3.1%, respectively. Fuel combustion efficiency of the mixes was enhanced while the engine was operating under full load due to an increase in cylinder temperature and the quantity of oxygen present in the alternative. Therefore, it increased BTE and enhanced combustion efficiency. At higher engine loads, the increased in-cylinder temperature and heat of release rate caused the BTE for 18.5° b TDC, 20.5° b TDC, 22.5° b TDC, 24.5° b TDC, and 26.5° b TDC to be 30.82%, 32.5%, 33.9%, 33.9%, and 33.9% higher, respectively, than WOB blends. Figure 5. BTE with advanced fuel injection times (AFITs) 3.3. Cylinder pressure Figure 6 shows a depiction of the link between crank angle and cylinder pressure for each of the test fuels. This connection can be observed for each of the test fuels. When the engine was filled to its full capacity, the BF100WOB0, BF80WOB20, and BF0WOB100 all followed the same pattern with regard to the pressure within their respective cylinders. When measured against BF100WOB0 (89.3, 110.2, 116.3, 122.9 and 127.2 bar), the maximum cylinder pressure of BF80WOB20 (85.7, 92.3, 92.7, 108.1,113.3) at 18.5° b TDC, 20.5° b TDC, 22.5° b TDC, 24.5° b TDC and 26.5° b TDC with 100% load is shown to be lowered by 4.0%, 16.1%, 20.1%, and it's possible that the high viscosity of the WOB, the high latent heat of evaporation, and the poor igniting qualities are all to blame for this [15], [16]. 3.4. Maximum rate of pressure rise Figure 7 illustrates the maximum rate of pressure rise (MROPR) as well as the injection for each of the test fuels. The exhaust gas temperature (EGT) of the BF100WOB0, BF80WOB20, and BF0WOB100 all followed the same pattern when the engines were loaded to their maximum capacity. In comparison to BF100WOB0 (4.2, 5.9, 6.2, 6.5 and 6.8 bar/deg.), the MROPR of BF80WOB20 (3.9, 4.0, 4.2, 4.3 and 4.6 bar/deg.) at 18.5° b TDC, 20.5° b TDC, 22.5° b TDC, 24.5° b TDC and 26.5° b TDC with 100% load is seen to be 7.1%, 32.2%. 18.5 20.5 22.5 24.5 26.5 0 10 20 30 40 50 BTE (%) ITs (deg.) BF100WOB0 BF80WOB20 BF0WOB100
  • 6. Int J Reconfigurable & Embedded Syst ISSN: 2089-4864  Experimental study on the effects of injection timing using reuse of waste … (Dvsrbm Subrahmanyam) 419 Figure 6. Cylinder pressure with ITs Figure 7. Maximum rate of pressure rise with ITs 3.5. NOx emission Figure 8 depicts the range of nitrogen oxides (NOx) emissions achieved by varying the injection time for base fuel and biodiesel techniques. When the engines were loaded to their maximum capacity, the NOx emissions from BF100WOB0, BF80WOB20, and BF0WOB100 all followed the same pattern. In comparison to BF100WOB0 (827.8, 2352.5, 3052.9, 3450.8 and 4012.9 ppm), the NOx levels of BF80WOB20 (732, 1822.5, 2525, 3003.4 and 3569.) at 18.5° b TDC, 20.5° b TDC, 22.5° b TDC, 24.5° b TDC and 26.5° b TDC with 100% load are observed to be 11.5%, 22.5% One possible explanation for this is because the WOB has a lower temperature [17], [18]. When certain operating conditions, such as the air-to- fuel ratio, are present, there is a general tendency for NOx emissions to rise as the combustion temperature rises while the ignition timing advances the cetane number [19]-[21]. This is a pattern that can be observed under certain circumstances. 300 320 340 360 380 400 420 440 460 480 0 30 60 90 120 150 Cylinder pressure (bar) Crank angle (deg.) BF100WOB0 @18.5 BF100WOB0 @22.5 BF100WOB0 @26.5 BF80WOB20 @18.5 BF80WOB20 @22.5 BF80WOB20 @26.5 BF0WOB100 @18.5 BF0WOB100 @22.5 BF0WOB100 @26.5 18.5 20.5 22.5 24.5 26.5 0 2 4 6 8 10 Max. Rate of pressure rise (bar/deg.) ITs (deg.) BF100WOB0 BF80WOB20 BF0WOB100
  • 7.  ISSN: 2089-4864 Int J Reconfigurable & Embedded Syst, Vol. 12, No. 3, November 2023: 414-422 420 3.6. Smoke emission By employing fuels with large volatilities, it is possible to efficiently cut down on the amount of smoke emitted at early injection timings. When it comes to fuel blends, the effect of oxygenated content in decreasing smoke emissions was major when the diesel energy ratio was increased, but the influence of fuel volatilities became predominant when the diesel energy ratio was dropped. This is because the diesel energy ratio is directly proportional to the amount of smoke emissions produced by the fuel [22], [23]. Both fuels and loads contributed to an increase in the amount of smoke being emitted by the engines. When the quantity of incoming fuel grew along with the increased load, adequate air was unable to be given, and as a consequence, the amount of smoke that was created as a result of the rich mixture also increased correspondingly [24], [25]. Figure 9 depicts the range of HSL emissions achieved by varying the injection time for base fuel and biodiesel techniques. When the engines were loaded to their maximum capacity [26], the patterns of smoke emission produced by BF100WOB0, BF80WOB20, and BF0WOB100 were identical. In contrast to the smoke emission of BF100WOB0 (50.4, 39.8, 37.9, 35.6, and 34.2 HSL), the smoke emission of BF80WOB20 (50.8, 47.8, 47.8, 40.9, and 39.2 HSL) at 18.5° b TDC, 20.5° b TDC, 22.5° b TDC, and 24.5° b TDC and 26.5° b TDC with 100% load is noted to be 0.78%. Figure 8. Engine NOx emission with ITs Figure 9. HSL emission with ITs 18.5 20.5 22.5 24.5 26.5 0 1000 2000 3000 4000 5000 NOx (ppm) ITs (deg.) BF100WOB0 BF80WOB20 BF0WOB100 18.5 20.5 22.5 24.5 26.5 0 10 20 30 40 50 60 70 80 90 100 Hartridge Smoke Level (HSL) ITs (deg.) BF100WOB0 BF80WOB20 BF0WOB100
  • 8. Int J Reconfigurable & Embedded Syst ISSN: 2089-4864  Experimental study on the effects of injection timing using reuse of waste … (Dvsrbm Subrahmanyam) 421 4. CONCLUSION The density and flash points of biodiesels generated with a greater percentage of WOB are well within the standards for biodiesel in terms of density and temperature. Biodiesels derived from waste oil have calorific values that are slightly lower than those of base fuel. This is due to the fact that biodiesel is made from waste oil. Compared to BF100WOB0 (89.3, 110.2, 116.3, 122.9, and 127.2 bar), the maximum cylinder pressure of BF80WOB20 (85.7, 92.3, 92.7, 108.1, 113.3) at 18.5° b TDC, 20.5° b TDC, 22.5° b TDC, 24.5° b TDC, and 26.5° b TDC with 100% load is lower by 4.0%, 16.1%, 20.1%, 12.0% and 10.9%, respectively at 18.5 CR. This base fuel, which is made from used oil, makes a little more smoke than the base fuel itself does. When compared to the basic fuel, there may be significant differences in the quantity of NOx that is released. The quantity of BTE that is decided by WOB isn't as high as the amount that is determined by base fuel. It has been shown that BF80WOB20 produces 11.0% less NOx at 26.5° b TDC and 100% load than BF100WOB0 does at 18.5 CR. The current experimental study operated using BF80WOB20 blend at various injection timings together with full load condition, and the results showed 22.5° to 26.5° b TDC improved operating condition for the engine. REFERENCES [1] P. Sankar, M. Thangavelu, V. Moorthy, S. M. Subhani, and R. Manimaran, “Prediction and optimization of diesel engine characteristics for various fuel injection timing: Operated by third generation green fuel with alumina nano additive,” Sustainable Energy Technologies and Assessments, vol. 53, p. 102751, Oct. 2022, doi: 10.1016/j.seta.2022.102751. [2] S. Sahu, P. Kumar, and A. Dhar, “Effect of injection timing on combustion, performance and emissions characteristics of methanol fuelled DISI engine: A numerical study,” Fuel, vol. 322, p. 124167, Aug. 2022, doi: 10.1016/j.fuel.2022.124167. [3] X. Su et al., “Combustion and emission characteristics of diesel engine fueled with diesel/cyclohexanol blend fuels under different exhaust gas recirculation ratios and injection timings,” Fuel, vol. 332, p. 125986, Jan. 2023, doi: 10.1016/j.fuel.2022.125986. [4] J. Li et al., “Effects of different injection timing on the performance, combustion and emission characteristics of diesel/ethanol/n- butanol blended diesel engine based on multi-objective optimization theory,” Energy, vol. 260, p. 125056, Dec. 2022, doi: 10.1016/j.energy.2022.125056. [5] G. P. Rao and L. S. V. Prasad, “Combined influence of compression ratio and exhaust gas recirculation on the diverse characteristics of the diesel engine fueled with novel palmyra biodiesel blend,” Energy Conversion and Management: X, vol. 14, p. 100185, May 2022, doi: 10.1016/j.ecmx.2022.100185. [6] K. Yang et al., “Impact of natural gas injection timing on the combustion and emissions performance of a dual-direct-injection diesel/natural gas engine,” Energy, vol. 270, p. 126813, May 2023, doi: 10.1016/j.energy.2023.126813. [7] S. V. Channapattana, S. Campli, A. Madhusudhan, S. Notla, R. Arkerimath, and M. K. Tripathi, “Energy analysis of DI-CI engine with nickel oxide nanoparticle added azadirachta indica biofuel at different static injection timing based on exergy,” Energy, vol. 267, p. 126622, Mar. 2023, doi: 10.1016/j.energy.2023.126622. [8] H. Valera, D. Kumar, and A. K. Agarwal, “Evaluating the effect of variable methanol injection timings in a novel co-axial fuel injection system equipped locomotive engine,” Journal of Cleaner Production, vol. 349, p. 131452, May 2022, doi: 10.1016/j.jclepro.2022.131452. [9] P. K. Chaurasiya, S. K. Singh, R. Dwivedi, and R. V. Choudri, “Combustion and emission characteristics of diesel fuel blended with raw jatropha, soybean and waste cooking oils,” Heliyon, vol. 5, no. 5, p. e01564, May 2019, doi: 10.1016/j.heliyon.2019.e01564. [10] C. Adhikesavan, D. Ganesh, and V. C. Augustin, “Effect of quality of waste cooking oil on the properties of biodiesel, engine performance and emissions,” Cleaner Chemical Engineering, vol. 4, p. 100070, Dec. 2022, doi: 10.1016/j.clce.2022.100070. [11] U. Rajak et al., “Experimental and parametric studies on the effect of waste cooking oil methyl ester with diesel fuel in compression ignition engine,” Sustainable Energy Technologies and Assessments, vol. 53, p. 102705, Oct. 2022, doi: 10.1016/j.seta.2022.102705. [12] N. Krishania, U. Rajak, P. K. Chaurasiya, T. S. Singh, A. K. Birru, and T. N. Verma, “Investigations of spirulina, waste cooking and animal fats blended biodiesel fuel on auto-ignition diesel engine performance, emission characteristics,” Fuel, vol. 276, p. 118123, Sep. 2020, doi: 10.1016/j.fuel.2020.118123. [13] V. Sharma, A. K. Hossain, A. Ahmed, and A. Rezk, “Study on using graphene and graphite nanoparticles as fuel additives in waste cooking oil biodiesel,” Fuel, vol. 328, p. 125270, Nov. 2022, doi: 10.1016/j.fuel.2022.125270. [14] N. Seelam, S. K. Gugulothu, R. V. Reddy, and K. Jagadeshwar, “Influence of 1-pentanol as the renewable fuel blended with hydrogen on the diesel engine characteristics and trade-off study with variable injection timing,” International Journal of Hydrogen Energy, vol. 47, no. 20, pp. 11068–11082, Mar. 2022, doi: 10.1016/j.ijhydene.2022.01.148. [15] Ü. Ağbulut, S. Sarıdemir, and S. Albayrak, “Experimental investigation of combustion, performance and emission characteristics of a diesel engine fuelled with diesel–biodiesel–alcohol blends,” Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 41, no. 9, p. 389, Sep. 2019, doi: 10.1007/s40430-019-1891-8. [16] A. Gharehghani and H. Pourrahmani, “Performance evaluation of diesel engines (PEDE) for a diesel-biodiesel fueled CI engine using nano-particles additive,” Energy Conversion and Management, vol. 198, p. 111921, Oct. 2019, doi: 10.1016/j.enconman.2019.111921. [17] A. Sharma and S. Murugan, “Combustion, performance and emission characteristics of a di diesel engine fuelled with non- petroleum fuel: A study on the role of fuel injection timing,” Journal of the Energy Institute, vol. 88, no. 4, pp. 364–375, Nov. 2015, doi: 10.1016/j.joei.2014.11.006. [18] R. A. Alenezi, A. M. Norkhizan, R. Mamat, Erdiwansyah, G. Najafi, and M. Mazlan, “Investigating the contribution of carbon nanotubes and diesel-biodiesel blends to emission and combustion characteristics of diesel engine,” Fuel, vol. 285, p. 119046, Feb. 2021, doi: 10.1016/j.fuel.2020.119046. [19] Ü. Ağbulut, M. Karagöz, S. Sarıdemir, and A. Öztürk, “Impact of various metal-oxide based nanoparticles and biodiesel blends on the combustion, performance, emission, vibration and noise characteristics of a CI engine,” Fuel, vol. 270, p. 117521, Jun. 2020, doi: 10.1016/j.fuel.2020.117521.
  • 9.  ISSN: 2089-4864 Int J Reconfigurable & Embedded Syst, Vol. 12, No. 3, November 2023: 414-422 422 [20] M. Kumar, S. Bhowmik, and A. Paul, “Effect of pilot fuel injection pressure and injection timing on combustion, performance and emission of hydrogen-biodiesel dual fuel engine,” International Journal of Hydrogen Energy, vol. 47, no. 68, pp. 29554– 29567, Aug. 2022, doi: 10.1016/j.ijhydene.2022.06.260. [21] C. Park et al., “Effect of fuel injection timing and injection pressure on performance in a hydrogen direct injection engine,” International Journal of Hydrogen Energy, vol. 47, no. 50, pp. 21552–21564, Jun. 2022, doi: 10.1016/j.ijhydene.2022.04.274. [22] Z. Li et al., “Effects of fuel injection timings and methanol split ratio in M/D/M strategy on a diesel/methanol dual-fuel direct injection engine,” Fuel, vol. 325, p. 124970, Oct. 2022, doi: 10.1016/j.fuel.2022.124970. [23] Y. Wang, Y. Zhuang, M. Yao, Y. Qin, and Z. Zheng, “An experimental investigation into the soot particle emissions at early injection timings in a single-cylinder research diesel engine,” Fuel, vol. 316, p. 123288, May 2022, doi: 10.1016/j.fuel.2022.123288. [24] U. Öztürk, H. Hazar, and F. Yılmaz, “Comparative performance and emission characteristics of peanut seed oil methyl ester (PSME) on a thermal isolated diesel engine,” Energy, vol. 167, pp. 260–268, Jan. 2019, doi: 10.1016/j.energy.2018.10.198. [25] P. K. Chaurasiya, U. Rajak, I. Veza, T. N. Verma, and Ü. Ağbulut, “Influence of injection timing on performance, combustion and emission characteristics of a diesel engine running on hydrogen-diethyl ether, n-butanol and biodiesel blends,” International Journal of Hydrogen Energy, vol. 47, no. 41, pp. 18182–18193, May 2022, doi: 10.1016/j.ijhydene.2022.03.268. [26] U. Rajak, P. Nashine, A. Dasore, R. Balijepalli, P. K. Chaurasiya, and T. N. Verma, “Numerical analysis of performance and emission behavior of CI engine fueled with microalgae biodiesel blend,” Materials Today: Proceedings, vol. 49, pp. 301–306, 2021, doi: 10.1016/j.matpr.2021.02.104. BIOGRAPHIES OF AUTHORS Dvsrbm Subrahmanyam has completed his B.Tech. (mechanical) from Bundelkhand University, Jhansi and M.E. (Machine Design) from Rajeev Gandhi Technical University, Bhopal. He is presently pursuing Ph.D. in Mechanical Engineering at Annamalai University, Chidambaram. His research intensifies thermal engineering and design. He can be contacted at email: subhramanyasharma@gmail.com. Dr. Jagadeesh Manikandan has completed his B.E. (Mechanical), M.E. (Energy Engineering and Management), and Ph.D. (Mechanical) at Annamalai University, Chidambaram, Tamil Nadu State, India. He is actively involved in technical research for more than two decades. He has published more than 10 research papers in reputed journals and Ph.D. scholars in mechanical engineering domain. At present, he is deputed to the Constituent College of Anna University. He can be contacted at email: jmanikandanrishi@rediffmail.com.