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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3133
Study of Lubricating Oil Deterioration Using Fourier Transform
Infrared Spectroscopy
Pooja Nand1, Nitish Kumar Sah2, Manoj Kumar3
1,2M.Tech Scholar, Mechanical Engineering Department, BIT Sindri, Jharkhand, India
3Professor, Mechanical Engineering Department, BIT Sindri, Jharkhand, India
------------------------------------------------------------------------***-----------------------------------------------------------------------
Abstract: Lubrication controls the friction and wear
between moving surfaces in contact, by the introduction of a
friction-reducing film. It can be a Solid, fluid, or plastic
substance. All types of lubricants are susceptible to
degradation while in use and depending upon the engine oil
condition, it should be changed after certain interval of time.
Viscosity of lubricating oil is the detrimental property to
define the oil characteristics after hours of running of an
engine. Analytical methods for the analysis of lubricating oil
such measuring viscosity, TAN/TBN takes much time and not
so accurate results are obtained, also large amount of
lubricating oil is used in this viscosity measurement method.
In the present work, Engine oil used was multi grade SAE 15
W 40 from a Generator set provides power to E-1400-16
drilling rig used for land drilling rigs for oil rig applications
in Oil & Natural Gas Corporation (ONGC). Fourier-transform
infrared (FTIR) spectroscopy is used for the analysis of oil.
Viscosity of the lubricants were found by Stabinger
Viscometer at 20º C. Correlation between viscosity and
percentage transmittance were created to find out which
compound is more responsible for the degradation of oil. A
trend line equation was generated at a selected peak to know
the viscosity value at the corresponding value of percentage
transmittance. Advantage of FTIR is, it’s running cost is less
as no additional chemical are required to get the spectra.
Keywords: Lubricant, FTIR, Viscosity, Transmittance
1.INTRODUCTION
Lubricants create thin film between moving surface in
contact due to which function and wear of engine can be
controlled and life of engine is prolonged. Lubricants can be
used in any form such as fluid or solid.
Lubricating oil has large number of products which can be
classified on the basis of base chemical and additives.
Generally lubricating oil are belonging to either mineral
based or synthetic. Constituents of petroleum based
lubricating oils are 80-90 % of petroleum hydrocarbon and
10-20% of additives. All internal combustion engine is
preserved from wear and corrosion because of this
petroleum based lubricating oils.
The substance which plays main role in increasing the
equipment life and improves the working of lubricating oil
is additives, which is used for refinement of the anti-
friction, chemical and physical properties of the base oil
(minerals, synthetic, vegetable or animal) [1].There are
various types of lubricating additives such as friction
modifiers which reduces coefficient of friction due to which
less fuel is consumed (some of them are graphite,
molybdenum disulfide, boron nitride, tungsten disulfide,
PTFE).
Various properties of lubricating oil are higher viscosity,
thermal stability, demulsibility, hydraulic stability,
corrosion prevention, high boiling point and low freezing
point and high resistance to corrosion [3]. The property of
lubricating oil for the center of attention in this research is
viscosity. Viscosity is due to inter molecular interaction.
This property of lubricating oil is affected by oxidation,
nitration and formation of various other compounds which
changes the composition of lubricating oil after long hour of
running. Due to these changes in composition, the quality of
lubricating oil changes[4]. FTIR spectroscopy is used to
give the percentage of transmittance for various functional
groups at different hours of running. FTIR is widely used in
many industries for monitoring degradation, contaminants
and additives levels in lubricants of various working
lubricating oil. So, we could know that when the oil needs to
be changed to prevent the engine from damage and
increases its life.
2.PROPOSED METHOD
In the present work, it is proposed to analyses the viscosity
of lubricating oil using Fourier Transform Infrared (FTIR)
spectroscopy. FTIR spectroscopy of sample gives the
relation between percentage transmittance and wave
number. The prominent peaks in the graph would be
selected on the basis of available research literature. The
major cause of oil degradation could be defined from
correlation developed between transmittance of running
use of the lubricating oil and viscosity. A trend line equation
would be generated between viscosity and percentage
transmittance value of FTIR spectra.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3134
3.PLAN OF WORK
The FTIR Spectra of the oil samples were recorded on
Nicolet iS50 FTIR spectrometer. The reflectance spectrum
was recorded when lubricating oil were spread between
the slides of KBrwithout any treatment. In this method of
spectrum analysis pre-processing of oil sampling is not
required. Thus, it can be assumed that obtained value of
results is more accurate as the oil was in its operating
conditions. Analysis of samples were done using FTIR
spectroscopy, percentage transmittance was obtained.
4.EXPERIMENTAL SETUP
In order to calculate the kinematic viscosity, dynamic
viscosity and density of the sample must be known. SVM
3000 machine were used for measuring dynamic viscosity
and density which is based on a modified Couette
principle in which an inner measuring bob rotates very
slowly in a rapidly rotating outer tube. Kinematic viscosity
(mm2/s) was calculated using dynamic viscosity and
density formula. IR-Prestige 21 machine were used for FTIR
analysis of lubricants.
5.RESULTS AND DISCUSSIONS
In the present work, sample were collected from Generator
set provides power to E-1400-16 drilling rig used for land
drilling rigs for oil rig applications in Oil & Natural Gas
Corporation (ONGC).
Engine Make: Cummins
Type: 4-stroke, turbocharged or after cooler, V-16-cylinder
Diesel engine. Model: KTA50G with capacity of 1430 KVA.
Engine oil used: SAE 15 W 40.
Five samples were collected including fresh lubricating oil.
Kinematic viscosity of the different lubricating oil samples
has been shown in Table 1.
Table-1: Kinematic Viscosity
Sl.No. Sample Hours of
running
Kinematic
Viscosity(mm2/sec)
1 Fresh 0 327.75
2 1 100 290.43
3 2 200 217.149
4 3 300 155.05
5 4 500 135.27
The kinematic viscosity of oil shows very small change after
100 hrs. of running then found a major drop after 200 and
300 hrs. of running, not much variation was found between
300 and 500 hrs. of running.
Fig -1: Stabinger Viscometer
Graph-1: Variation of kinematic viscosity of oil
327.75
290.43
217.149
155.05135.27
0
100
200
300
400
0 100 200 300 500
Kinematic
viscosity
(mm2/s)
Time(hrs)
Kinematic viscosity vs time
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3135
5.1 FTIR Analysis
Fourier Transformation Infrared (FTIR) spectrum of each of lubricating oil samples is given in, from graph-2 to graph-7
Graph-2: FTIR spectra of fresh oil
Graph-3: FTIR spectra of oil after 100 hrs. of running
Graph 4: FTIR spectra of oil after 200 hrs of running
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3136
Graph 5: FTIR spectra of oil after 300 hrs of running
Graph 6: FTIR spectra of oil after 500 hrs. of running
Graph 7: Merged FTIR spectra of oil
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3137
Table -2: Percentage Transmittance
Sl.
No.
Wave No. Inference Percent transmittance at different hours of running
0 Hrs.
Fresh
100 Hrs.
Sample 1
200 Hrs.
Sample 2
300 Hrs.
Sample 3
500 Hrs.
Sample 4
1 725 C=C bending 33.225 26.352 50.733 51.374 42.261
2 975 Antiwear additives 41.481 31.314 58.710 58.766 55.585
3 1373 S=O stretching 19.013 16.110 23.028 27.109 25.963
4 1460 N=O and CH2
bending
15.428 14.257 12.792 15.513 20.975
5 1700 Oxidation products,
Carbonyl region
59.368 49.946 68.275 65.243 66.115
6 2866 OH and CH3
stretching
16.652 17.024 12.746 14.946 23.768
7 2950 OH and CH3
stretching
13.736 14.141 10.030 12.045 19.764
8 3350 Water 67.955 58.449 75.570 70.065 71.125
These FTIR spectra of the samples show the relationship
between percentage transmittance and wave number (cm-
1). The wave number of important and noticeable peaks is
taken from a paper by Mukherjee et al., and Kumar et al.,
2005.The percentage transmittance at different hours of
working for the selected peaks were tabulated and shown
in Table-4.
The values of viscosity at different running hours are being
taken from table 5.1 and percentage transmittance from
table 5.2. The correlation coefficient of viscosity with the
prominent peaks of transmittance at different wave
number was calculated using Micro Soft Excel. The
correlation values are given in Table 5.3.
Table 3: Correlation analysis between viscosity and transmittance
Sl. No. Wave No. Inferences Correlation Coefficient with
Viscosity
1 725 C=C bending 0.731
2 975 Antiwear additives 0.801
3 1373 S=O stretching 0.912
4 1460 N=O and CH2 bending 0.541
5 1700 Oxidation products, Carbonyl
region
0.690
6 2866 OH and CH3 stretching 0.336
7 2950 OH and CH3 stretching 0.302
8 3350 Water 0.526
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3138
The above correlation table shows that the Kinematic
viscosity of Lubricants has a good correlation with the
transmittance at corresponding hours of running. The value
of correlation coefficient for most of the peaks is moderate
to high. The highest value of coefficient of correlation is
0.912 at the wave number 1373 cm-1, which indicates
formation of sulfonate compound [5]. Generally, Sulphur
compound added in lubricants acts as an antioxidant which
prevent acid and sludge formation. They also form a thin
film on the metal surface which protects the surface from
acid and peroxide attack. Sulphur contained lubricants are
frequently exposed to severe operating conditions results
in corrosion and decrease in viscosity of lubricating oil [6].
Another higher peak was found at wave number 725 cm-1
and at 975 cm-1 indicating reactions with gasoline and with
antiwear additives.
From the above table and graph, it can be inferred that
presence of (S=O) compound has a detrimental effect on the
degradation of selected lubricating oil. However, presence
of other compound such as OH and CH3 stretching does not
have significant role on the viscosity of oil after long hours
of running. The above correlation was investigated by
plotting a graph between viscosity and transmittance at
wavenumber 1373cm-1 and polynomial curve were derived
using Micro Soft Excel.
Graph 8: Relationship between viscosity and transmittance
Let y be the viscosity of lubricating oil in mm2/s and x be
the transmittance percentage at wave number 1373 cm-1.
Then the relationship between viscosity and transmittance
will be given by
y = 0.071x4 - 5.417x3 + 147.3x2 - 1697.x + 7223.
6.CONCLUSION
Deterioration of lubricating oil is due to changes in viscosity
whereas FTIR spectrum is due to structural changes in oil.
The analysis of correlation of viscosity with percent
transmittance of FTIR spectrum shows that viscosity of the
oil could be expressed in terms of percentage transmittance
value. The derived equation is-
y = 0.071x4 - 5.417x3 + 147.3x2 - 1697.x + 7223.
Where y be the viscosity of lubricating oil in mm2/s and x
be the transmittance percentage at wave number 1373cm-1.
The conventional methods for finding viscosity require
large amount of sample, are costly and time consuming. By
the proposed methods viscosity could be derived from the
FTIR spectrum in few seconds during which very small
amount of sample is required (only a small droplet).
The above correlation study also implied that formation of
sulfonate compounds in the oil was main reason for its
deterioration. Correlation between percent transmittance
of FTIR of eight prominent peaks and viscosity gave the
highest correlation coefficient for formation of sulfonate
compound in oil.
y = 0.071x4 - 5.417x3 + 147.3x2 - 1697.x + 7223.
R² = 1
0
50
100
150
200
250
300
350
0 5 10 15 20 25 30
Viscosity
in
mm2/s
Transmittance
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3139
REFERENCES
[1] Kumar, S., Mukherjee, P.S. and Mishra, N.M.,“Online
condition monitoring of engine oil”, Industrial
Lubrication and Tribology, Vol.57, No.6, 2005, pp.260-
267.
[2] Toms, A.M., “Fourier-transform infrared (FTIR)
spectroscopy-applying the correct method for your
application”, paper presented at Society of
Tribologistsand lubrication Engineers (STLE) 62nd
Annual Meeting,May6-10,2007, Philadelphia,
Pennsylvania, USA.
[3] Mahendra Kumar Bhagat and Pankaj Kumar,
“Estimation and Correlation Developed for Viscosity o
f
Lubricating Oil Using Fourier Transform Infrared
Spectroscopy”, International Journal of Science and
Research(IJSR), Volume 6 Issue 4,2017.
[4] Bowman,W.F. and Stachowiak, G.W., “New criteria to
assess the remaining useful life of industrialturbine
oils”, Lubrication Engineering, Vol. 52, No. 10,1996,pp.
745-750.
[5] Diana Julaidy Patty and Richard R Lokollo, “FTIR
Spectrum Interpretation of Lubricants with Treatment
ofVariationMileage” Advances in Physics Theories and
Applications ISSN2224-719X (Paper) ISSN2225-
0638(Online) Vol.52, 2016.
[6] F.R.Vandevoort, J.Sedman, R.A. Cocciardi and
D.Pinchuk, “FTIR Condition Monitoring of In-Service
Lubricants: Ongoing Developments and Future
Perspectives”, Tribology Transactions, 49:3,2006,
pp.410-418.
[7] R.W.Wilson and S.B.Lyon “Corrosion in
Lubricants/Fuels”ElsevierB.V.,volume1,2010.
Pp.143–154.
[8] Michael C. Garry and John Bowman, “FT-IR Analysis of
Used Lubricating Oils–General Considerations”, Thermo
Fisher Scientific, Madison, WI,USA,2007.
[9] J.C.O.Santos, I. M.G.Santos and A.G.Souza, “Thermal
Degradation Process of Synthetic Lubricating Oils: Part
I—Spectroscopic Study”, Petroleum Science and
Technology,33:11,2015, pp.1238-1245
[10] .D.Michele R, DusanStulik and James M.Landry,
“ Infrared Spectroscopying Conservation Science”. The
Getty Conservation Institute, LosAngeles.1999.
[11] Arturwolak, Wojciech krasodomski, Grzegorzzajac,
“FTIR analysis and monitoring of used synthetic oils
operated under similar driving conditions”,
Friction8(5): 2020,pp. 995–1006.

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FTIR analysis of lubricating oil degradation

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3133 Study of Lubricating Oil Deterioration Using Fourier Transform Infrared Spectroscopy Pooja Nand1, Nitish Kumar Sah2, Manoj Kumar3 1,2M.Tech Scholar, Mechanical Engineering Department, BIT Sindri, Jharkhand, India 3Professor, Mechanical Engineering Department, BIT Sindri, Jharkhand, India ------------------------------------------------------------------------***----------------------------------------------------------------------- Abstract: Lubrication controls the friction and wear between moving surfaces in contact, by the introduction of a friction-reducing film. It can be a Solid, fluid, or plastic substance. All types of lubricants are susceptible to degradation while in use and depending upon the engine oil condition, it should be changed after certain interval of time. Viscosity of lubricating oil is the detrimental property to define the oil characteristics after hours of running of an engine. Analytical methods for the analysis of lubricating oil such measuring viscosity, TAN/TBN takes much time and not so accurate results are obtained, also large amount of lubricating oil is used in this viscosity measurement method. In the present work, Engine oil used was multi grade SAE 15 W 40 from a Generator set provides power to E-1400-16 drilling rig used for land drilling rigs for oil rig applications in Oil & Natural Gas Corporation (ONGC). Fourier-transform infrared (FTIR) spectroscopy is used for the analysis of oil. Viscosity of the lubricants were found by Stabinger Viscometer at 20º C. Correlation between viscosity and percentage transmittance were created to find out which compound is more responsible for the degradation of oil. A trend line equation was generated at a selected peak to know the viscosity value at the corresponding value of percentage transmittance. Advantage of FTIR is, it’s running cost is less as no additional chemical are required to get the spectra. Keywords: Lubricant, FTIR, Viscosity, Transmittance 1.INTRODUCTION Lubricants create thin film between moving surface in contact due to which function and wear of engine can be controlled and life of engine is prolonged. Lubricants can be used in any form such as fluid or solid. Lubricating oil has large number of products which can be classified on the basis of base chemical and additives. Generally lubricating oil are belonging to either mineral based or synthetic. Constituents of petroleum based lubricating oils are 80-90 % of petroleum hydrocarbon and 10-20% of additives. All internal combustion engine is preserved from wear and corrosion because of this petroleum based lubricating oils. The substance which plays main role in increasing the equipment life and improves the working of lubricating oil is additives, which is used for refinement of the anti- friction, chemical and physical properties of the base oil (minerals, synthetic, vegetable or animal) [1].There are various types of lubricating additives such as friction modifiers which reduces coefficient of friction due to which less fuel is consumed (some of them are graphite, molybdenum disulfide, boron nitride, tungsten disulfide, PTFE). Various properties of lubricating oil are higher viscosity, thermal stability, demulsibility, hydraulic stability, corrosion prevention, high boiling point and low freezing point and high resistance to corrosion [3]. The property of lubricating oil for the center of attention in this research is viscosity. Viscosity is due to inter molecular interaction. This property of lubricating oil is affected by oxidation, nitration and formation of various other compounds which changes the composition of lubricating oil after long hour of running. Due to these changes in composition, the quality of lubricating oil changes[4]. FTIR spectroscopy is used to give the percentage of transmittance for various functional groups at different hours of running. FTIR is widely used in many industries for monitoring degradation, contaminants and additives levels in lubricants of various working lubricating oil. So, we could know that when the oil needs to be changed to prevent the engine from damage and increases its life. 2.PROPOSED METHOD In the present work, it is proposed to analyses the viscosity of lubricating oil using Fourier Transform Infrared (FTIR) spectroscopy. FTIR spectroscopy of sample gives the relation between percentage transmittance and wave number. The prominent peaks in the graph would be selected on the basis of available research literature. The major cause of oil degradation could be defined from correlation developed between transmittance of running use of the lubricating oil and viscosity. A trend line equation would be generated between viscosity and percentage transmittance value of FTIR spectra.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3134 3.PLAN OF WORK The FTIR Spectra of the oil samples were recorded on Nicolet iS50 FTIR spectrometer. The reflectance spectrum was recorded when lubricating oil were spread between the slides of KBrwithout any treatment. In this method of spectrum analysis pre-processing of oil sampling is not required. Thus, it can be assumed that obtained value of results is more accurate as the oil was in its operating conditions. Analysis of samples were done using FTIR spectroscopy, percentage transmittance was obtained. 4.EXPERIMENTAL SETUP In order to calculate the kinematic viscosity, dynamic viscosity and density of the sample must be known. SVM 3000 machine were used for measuring dynamic viscosity and density which is based on a modified Couette principle in which an inner measuring bob rotates very slowly in a rapidly rotating outer tube. Kinematic viscosity (mm2/s) was calculated using dynamic viscosity and density formula. IR-Prestige 21 machine were used for FTIR analysis of lubricants. 5.RESULTS AND DISCUSSIONS In the present work, sample were collected from Generator set provides power to E-1400-16 drilling rig used for land drilling rigs for oil rig applications in Oil & Natural Gas Corporation (ONGC). Engine Make: Cummins Type: 4-stroke, turbocharged or after cooler, V-16-cylinder Diesel engine. Model: KTA50G with capacity of 1430 KVA. Engine oil used: SAE 15 W 40. Five samples were collected including fresh lubricating oil. Kinematic viscosity of the different lubricating oil samples has been shown in Table 1. Table-1: Kinematic Viscosity Sl.No. Sample Hours of running Kinematic Viscosity(mm2/sec) 1 Fresh 0 327.75 2 1 100 290.43 3 2 200 217.149 4 3 300 155.05 5 4 500 135.27 The kinematic viscosity of oil shows very small change after 100 hrs. of running then found a major drop after 200 and 300 hrs. of running, not much variation was found between 300 and 500 hrs. of running. Fig -1: Stabinger Viscometer Graph-1: Variation of kinematic viscosity of oil 327.75 290.43 217.149 155.05135.27 0 100 200 300 400 0 100 200 300 500 Kinematic viscosity (mm2/s) Time(hrs) Kinematic viscosity vs time
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3135 5.1 FTIR Analysis Fourier Transformation Infrared (FTIR) spectrum of each of lubricating oil samples is given in, from graph-2 to graph-7 Graph-2: FTIR spectra of fresh oil Graph-3: FTIR spectra of oil after 100 hrs. of running Graph 4: FTIR spectra of oil after 200 hrs of running
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3136 Graph 5: FTIR spectra of oil after 300 hrs of running Graph 6: FTIR spectra of oil after 500 hrs. of running Graph 7: Merged FTIR spectra of oil
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3137 Table -2: Percentage Transmittance Sl. No. Wave No. Inference Percent transmittance at different hours of running 0 Hrs. Fresh 100 Hrs. Sample 1 200 Hrs. Sample 2 300 Hrs. Sample 3 500 Hrs. Sample 4 1 725 C=C bending 33.225 26.352 50.733 51.374 42.261 2 975 Antiwear additives 41.481 31.314 58.710 58.766 55.585 3 1373 S=O stretching 19.013 16.110 23.028 27.109 25.963 4 1460 N=O and CH2 bending 15.428 14.257 12.792 15.513 20.975 5 1700 Oxidation products, Carbonyl region 59.368 49.946 68.275 65.243 66.115 6 2866 OH and CH3 stretching 16.652 17.024 12.746 14.946 23.768 7 2950 OH and CH3 stretching 13.736 14.141 10.030 12.045 19.764 8 3350 Water 67.955 58.449 75.570 70.065 71.125 These FTIR spectra of the samples show the relationship between percentage transmittance and wave number (cm- 1). The wave number of important and noticeable peaks is taken from a paper by Mukherjee et al., and Kumar et al., 2005.The percentage transmittance at different hours of working for the selected peaks were tabulated and shown in Table-4. The values of viscosity at different running hours are being taken from table 5.1 and percentage transmittance from table 5.2. The correlation coefficient of viscosity with the prominent peaks of transmittance at different wave number was calculated using Micro Soft Excel. The correlation values are given in Table 5.3. Table 3: Correlation analysis between viscosity and transmittance Sl. No. Wave No. Inferences Correlation Coefficient with Viscosity 1 725 C=C bending 0.731 2 975 Antiwear additives 0.801 3 1373 S=O stretching 0.912 4 1460 N=O and CH2 bending 0.541 5 1700 Oxidation products, Carbonyl region 0.690 6 2866 OH and CH3 stretching 0.336 7 2950 OH and CH3 stretching 0.302 8 3350 Water 0.526
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3138 The above correlation table shows that the Kinematic viscosity of Lubricants has a good correlation with the transmittance at corresponding hours of running. The value of correlation coefficient for most of the peaks is moderate to high. The highest value of coefficient of correlation is 0.912 at the wave number 1373 cm-1, which indicates formation of sulfonate compound [5]. Generally, Sulphur compound added in lubricants acts as an antioxidant which prevent acid and sludge formation. They also form a thin film on the metal surface which protects the surface from acid and peroxide attack. Sulphur contained lubricants are frequently exposed to severe operating conditions results in corrosion and decrease in viscosity of lubricating oil [6]. Another higher peak was found at wave number 725 cm-1 and at 975 cm-1 indicating reactions with gasoline and with antiwear additives. From the above table and graph, it can be inferred that presence of (S=O) compound has a detrimental effect on the degradation of selected lubricating oil. However, presence of other compound such as OH and CH3 stretching does not have significant role on the viscosity of oil after long hours of running. The above correlation was investigated by plotting a graph between viscosity and transmittance at wavenumber 1373cm-1 and polynomial curve were derived using Micro Soft Excel. Graph 8: Relationship between viscosity and transmittance Let y be the viscosity of lubricating oil in mm2/s and x be the transmittance percentage at wave number 1373 cm-1. Then the relationship between viscosity and transmittance will be given by y = 0.071x4 - 5.417x3 + 147.3x2 - 1697.x + 7223. 6.CONCLUSION Deterioration of lubricating oil is due to changes in viscosity whereas FTIR spectrum is due to structural changes in oil. The analysis of correlation of viscosity with percent transmittance of FTIR spectrum shows that viscosity of the oil could be expressed in terms of percentage transmittance value. The derived equation is- y = 0.071x4 - 5.417x3 + 147.3x2 - 1697.x + 7223. Where y be the viscosity of lubricating oil in mm2/s and x be the transmittance percentage at wave number 1373cm-1. The conventional methods for finding viscosity require large amount of sample, are costly and time consuming. By the proposed methods viscosity could be derived from the FTIR spectrum in few seconds during which very small amount of sample is required (only a small droplet). The above correlation study also implied that formation of sulfonate compounds in the oil was main reason for its deterioration. Correlation between percent transmittance of FTIR of eight prominent peaks and viscosity gave the highest correlation coefficient for formation of sulfonate compound in oil. y = 0.071x4 - 5.417x3 + 147.3x2 - 1697.x + 7223. R² = 1 0 50 100 150 200 250 300 350 0 5 10 15 20 25 30 Viscosity in mm2/s Transmittance
  • 7. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3139 REFERENCES [1] Kumar, S., Mukherjee, P.S. and Mishra, N.M.,“Online condition monitoring of engine oil”, Industrial Lubrication and Tribology, Vol.57, No.6, 2005, pp.260- 267. [2] Toms, A.M., “Fourier-transform infrared (FTIR) spectroscopy-applying the correct method for your application”, paper presented at Society of Tribologistsand lubrication Engineers (STLE) 62nd Annual Meeting,May6-10,2007, Philadelphia, Pennsylvania, USA. [3] Mahendra Kumar Bhagat and Pankaj Kumar, “Estimation and Correlation Developed for Viscosity o f Lubricating Oil Using Fourier Transform Infrared Spectroscopy”, International Journal of Science and Research(IJSR), Volume 6 Issue 4,2017. [4] Bowman,W.F. and Stachowiak, G.W., “New criteria to assess the remaining useful life of industrialturbine oils”, Lubrication Engineering, Vol. 52, No. 10,1996,pp. 745-750. [5] Diana Julaidy Patty and Richard R Lokollo, “FTIR Spectrum Interpretation of Lubricants with Treatment ofVariationMileage” Advances in Physics Theories and Applications ISSN2224-719X (Paper) ISSN2225- 0638(Online) Vol.52, 2016. [6] F.R.Vandevoort, J.Sedman, R.A. Cocciardi and D.Pinchuk, “FTIR Condition Monitoring of In-Service Lubricants: Ongoing Developments and Future Perspectives”, Tribology Transactions, 49:3,2006, pp.410-418. [7] R.W.Wilson and S.B.Lyon “Corrosion in Lubricants/Fuels”ElsevierB.V.,volume1,2010. Pp.143–154. [8] Michael C. Garry and John Bowman, “FT-IR Analysis of Used Lubricating Oils–General Considerations”, Thermo Fisher Scientific, Madison, WI,USA,2007. [9] J.C.O.Santos, I. M.G.Santos and A.G.Souza, “Thermal Degradation Process of Synthetic Lubricating Oils: Part I—Spectroscopic Study”, Petroleum Science and Technology,33:11,2015, pp.1238-1245 [10] .D.Michele R, DusanStulik and James M.Landry, “ Infrared Spectroscopying Conservation Science”. The Getty Conservation Institute, LosAngeles.1999. [11] Arturwolak, Wojciech krasodomski, Grzegorzzajac, “FTIR analysis and monitoring of used synthetic oils operated under similar driving conditions”, Friction8(5): 2020,pp. 995–1006.