Startseite Optimization of tribological behavior of Pongamia oil blends as an engine lubricant additive
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Optimization of tribological behavior of Pongamia oil blends as an engine lubricant additive

  • Yashvir Singh

    Yashvir Singh is a graduate in Mechanical Engineering and postgraduate in Thermal Engineering from Uttar Pradesh Technical University, Lucknow, India. He has taken research projects in the fields of tribology and biolubricants. Mr. Singh has more than 8 years of teaching experience and published various research papers in various refereed national and international journals. He is presently working as an Assistant Professor in the Mechanical Engineering Department, University of Petroleum and Energy Studies, Dehradun, India.

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    , Rajnish Garg

    Rajnish Garg obtained his BE, ME and PhD degrees, respectively, in the fields of Mechanical Engineering, Materials Engineering and Fibre Reinforced Metal Matrix Composites from the Indian Institute of Technology (IIT) Roorkee, India. Dr. Garg has more than 20 years of teaching/research/industry experience. He has guided/is guiding many PhDs and has published many research papers in various refereed national and international journals. Presently, he is a Professor in the Mechanical Engineering Department, University of Petroleum and Energy Studies, Dehradun, India.

    und Suresh Kumar

    Suresh Kumar obtained his PhD from IIT Delhi. He is a Professor in the Mechanical Engineering Department, University of Petroleum and Energy Studies Dehradun, Uttarakhand, India. His research interests are solar thermal systems, power plants and IC engines.

Veröffentlicht/Copyright: 25. September 2015
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Abstract

This investigation reports on the effect of Pongamia oil doped with lube oil on tribological characteristics of Al-7% Si alloy using the Taguchi method. The control factors involved were Pongamia oil percentage (PB 0%, PB 15%, PB 30%), sliding velocity (1.3 m/s, 2.5 m/s, 3.8 m/s) and load (50 N, 100 N, 150 N) which was optimized for weight loss, friction coefficient and wear rate characteristics of Al-7% Si alloy. The conventional lubricant SAE 40 was used for the experiment and for contamination. In this study, L9 orthogonal was used to obtain optimum results. It is observed that the Pongamia oil percentage control factor has a significant influence on the weight loss, friction coefficient and wear rate of the pin. The optimum result was A2B3C1 for pin weight loss, friction coefficient and wear rate. The experimental results obtained were in good agreement with the theoretical model. The lubricants were characterized by viscosity using a viscometer. From the experimental results, it is found that wear scar diameter (WSD) is increased with the increase of load for lube oil and reduced by addition of percentage of Pongamia oil. The flash temperature parameter (FTP) also studied in this experiment and results shown that 15% addition of Pongamia oil would result in less possibility of film breakdown. The overall results of this experiment reveal that the addition of 15% Pongamia oil with base lubricant produces better performance and antiwear characteristics. This blend can be used as lubricant oil which is environmentally friendly in nature and would help to reduce petroleum-based lubricants substantially.

1 Introduction

Around the globe, there are challenges for the industries involved in manufacturing petroleum-based lubricant products to face government regulations and also meet the latest technological changes to produce a cleaner environment and reduce pollution caused by them [1, 2]. There are various lubricants available worldwide which include synthetic oil, mineral oil and vegetable oil. Lubricants available in the market, i.e. mineral oil, are derived from crude petroleum oils and are not feasible in the environment as they are non-biodegradable and toxic [3, 4]. Also, the disposal of minerals caused pollution to the aquatic and terrestrial ecosystems and combustion of the mineral oil leads to emission of metal traces like calcium, zinc, magnesium and phosphorous and nanoparticles [5, 6]. Vegetable oil can be used as an alternative to petroleum-based mineral oil, as it possesses several advantages which include biodegradability, lower toxicity, lower volatility and higher lubricity [7, 8]. They have a triacylglycerol structure which contains long, polar fatty acid composition resulting in the formation of thick films between the metal to metal contacts and impart better antiwear properties [9, 10].

There are some drawbacks of vegetable oil-based lubricants in that lower thermal/oxidative stability, a higher flash point and high temperature operability lead to a higher coefficient of friction [11]. To overcome these limitations, several researches have been carried out. Oxidation stability and a low pour point can be modified by partially adding additives and using N-phenyl-alpha-naphthylamine (Am2) as an antioxidant to improve oxidation stability [12–14]. Moreover, transesterification or epoxidation are the solutions to meliorate oxidation stability at a low temperature [15, 16]. To make vegetable oil-based lubricants sustainable, there is a need to improve their narrow range of viscosities [17]. Viscosity is one of the significant factors in determining coefficient of friction between the sliding surfaces, as it acts as a protective film between the surfaces in contact to protect them from wear. To do so, viscosity modifiers can also be used which are environmentally friendly. Oleogels based on conventional, bio-based lubricants and ethylene-vinyl acetate (EVA) copolymers have been developed. It has been observed that EVA can be used as an effective thickener agent to make vegetable oil a bio-based lubricant [18]. Viscosity of bio-based lubricants can also be increased by using EVA and styrene-butadiene-styrene copolymers, as they increase some amount of kinematic viscosities at 40°C and 100°C [19].

Taguchi’s orthogonal array method is a statistical technique under a design of experiments which reduces the number of experiment trials and provides sufficient information about the effect of control factors [20, 21]. According to this method, various control factors can be investigated at a time and result in optimum significant values. The advantages of using the Taguchi method have been reported by various authors [22–27].

The following is an overview of the literature based on involvement of lubricants using a design of experiments. Silica-reinforced composites were investigated under various testing parameters which include solid lubricants, sliding velocity and load. Solid lubricants were hexagonal Boron Nitride (h-BN) graphite and MoS2, load ranges from 300 N to 900 N and sliding velocity from 3 m/s to 9 m/s. During this selected domain, MoS2 proves to be an effective wear resistive lubricant and both h-BN and MoS2 provides higher braking performance at higher sliding velocity and load [28]. The experimental design method was used to optimize the production of octyl esters from free fatty acid towards contributing more potential biolubricants. During this process, waste cooking oil and octanol in a solvent free medium during enzymatic esterification were used. The parameters were temperature, molar ratio of octanol and reaction time. Results revealed that the developed octyl ester has a higher flash point, viscosity index and biodegradability >90% as compared to the conventional waste cooking oil used [29]. The cylinder liner/piston ring reciprocating test based on the Taguchi method was investigated under various testing conditions to optimize minimum piston ring weight loss and friction. The optimum parameters were sliding velocity, load and oil type. The interaction between sliding velocity and oil type contributes significantly in developing a minimum weight loss model [30].

It is concluded from the above literature that very limited work has been done based on bio-based lubricants. The objective of this study is to optimize various control parameters which include Pongamia oil blended lubricants, sliding velocity and load using the Taguchi method for tribological behavior of Pongamia oil blends as engine lubricant additive.

2 Materials and methods

2.1 Experimental apparatus

The tribological behavior of Pongamia oil (Expo Essential Oil, Delhi, India) blend variants was investigated using a Ducom Macro Pad pin on disc tribometer (Bangalore, Karnataka, India), according to standard test methods of ASTM G99, which was connected with a personal computer with a data acquisition system. Linear variable differential transformer (LVDT) is used for determination of the wear and sensors are mounted to sense the changes in the coefficient of friction. The weight of the pin was determined before the test was conducted and after the tested result. Weight loss of the pin was determined as a function of different loads applied and sliding distances. Weighing was performed with an analytic balance Shimadzu AX 200 machine with a sensitivity of 0.1 mg. Specifications of the pin on disc tribometer are: maximum pin diameter=12 mm; maximum load=200 N; maximum disc rotating speed=2000 rpm; maximum wear measurement range=2000 μm.

2.2 Sample preparation

The specimens which were used for the experiment are aluminum silicon alloy with 7% silicon and EN31 steel with 60 hardness of 60 HRC (Rockwell C Hardness). The chemical composition of the Al-7 Si alloy is as follows: Si 7.39, Mg 0.356, Fe 0.116, B 0.0011, Sn 0.0027, Ti 0.115 and Al balanced and chemical composition of EN31 steel is C 1, Si 0.35, Mn 0.5, S 0.05, P 0.05, Cr 1.3 and Fe balanced. Hemispherical aluminum silicon alloy was used as the pin and the material used for the disc specimen was EN31 steel with a maximum diameter of 165 mm. The pin and disc specifications were: length of pin=30 mm; pin diameter=8 mm; hemispherical radius of pin=4 mm; disc diameter=165 mm; thickness of disc=8 mm; limit of disc track diameter=145 mm. Before conducting each experiment, ethyl alcohol was used to ensure that the surfaces are cleaned properly.

2.3 Test method

The details were as follows: load=50 N, 100 N or 150 N; ambient temperature was taken; track diameter=80 mm (for each experiment); sliding velocity=1.3 m/s, 2.5 m/s or 3.8 m/s; sliding distance=3000 m. For each test, the same track diameter was used and emery paper A350 was used for polishing the disc after each experiment. After completion of each test, the pin and disc specimen was cleaned ultrasonically with ethyl alcohol and stored in a vacuum oven furnace to avoid corrosion of the material. For examination of the worn surfaces, a trinocular stereo zoom microscope was used. The mean average value was used after completing each experiment three times to maintain accuracy in the results.

2.4 Lubricants used

In this investigation Jatropha oil was mixed with a conventional lubricant (SAE 20W40) in the ratios: 20W40 (PB 0); 10 (PB 15); 30 (PB 30) (% by volume). The homogeneous mixing was done by a magnetic stirrer. Table 1 shows the physiochemical properties of mineral and Pongamia oil-based blended lubricants.

Table 1

Physiochemical properties of lubricants undertaken for study.

PropertiesPB 0PB 15PB 30
Specific gravity at 20°C0.8550.8610.893
Kinematic viscosity (cSt at 40°C)168174123
Kinematic viscosity (cSt at 100°C)8.897.511
Viscosity index9810772
Flash point (°C)222237262
Total acid number0.56790.55930.6824

2.5 Viscosity and total acid number test

An Anton paar viscosity meter and total acid number test (TAN)/total base number (TBN) analyzers were used for investigating degradation of the lubricant. The kinematic viscosity was measured at 40°C and 100°C according to ASTM D445 standard. For the TAN analysis, c(KOH)=0.2 mol/l in isopropanol as the titrant was used according to the ASTM D664-81 standard.

2.6 Wear scar diameter

The trinocular stereo zoom microscope was used to calculate the wear scar diameter (WSD) of the pin. A suitable magnification lens was chosen and the focus was adjusted until a clear image was shown on the computer screen. After that, view 7 software available in the computer was used for the measurement of WSD.

2.7 Flash temperature parameter

The flash temperature parameter (FTP) is a single number used to express the critical flash temperature above which given a lubricant will fail under given conditions [31]. The following formula has been used for FTP analysis:

(1)FTP(kgmm)=Wd1.4 (1)

where W=load in kg and d=mean WSD in mm at this load.

2.8 Design of experiments employing the Taguchi method

The Taguchi method developed an orthogonal array to study the effect of control factors involved and to minimize the number of experiments. The experimental results obtained are then converted to signal to noise (S/N) ratio which measures quality characteristics to understand that the results are deviating from or are nearer to the obtained results. There are three categories involved in quality characteristics to analyze S/N ratio. These are: the smaller the better; the larger the better; the nominal the better. These can be calculated according to the below mentioned equations.

The smaller the better:

(2)SN=-log1n(i=1ny2) (2)

where “n” indicates the number of replications and “y” indicates the observed response value. It is employed where a smaller value is desired.

The nominal the better:

(3)SN=-log1n(μ2σ2) (3)

where “μ” indicates mean and “σ” indicates the variance. It is employed where nominal or variation is minimum.

The higher the better:

(4)SN=-log1n(in1y2) (4)

where “n” indicates number of replications and “y” indicates the observed response value.

2.9 Process parameters

In this experiment three control factors with three levels were selected. The details of the factors to be considered and the level assigned with them are designated in Table 2. The level indicates the values taken during plan of the experiments.

Table 2

Factors and levels considered during the design of experiments.

FactorsLevel ILevel IILevel III
Pongamia oil blends (%)01530
Sliding velocity (m/s)1.32.53.8
Load (N)50100150

Minitab 16 software was used for the selection of the orthogonal array. L9 orthogonal array was selected and details of the experiments to be investigated are shown in Table 3. Three columns were considered and each consists of three levels.

The plan of experiments includes nine row experiments in which the first column was assigned to the Jatropha oil blended lubricants (%), second to the sliding velocity (m/s) and the third to the load (N). Responses taken during the experiment were pin weight loss, friction force (N) and friction coefficient (μ).

Table 3

L9 orthogonal array experimental layout of Taguchi based design of experiment.

ExperimentsPongamia oil blends (%)Sliding velocity (m/s)Load (N)
101.350
202.5100
303.8150
4151.3100
5152.5150
6153.850
7301.3150
8302.550
9303.8100

2.10 ANOVA

ANOVA stands for analysis of variance. It is a statistical technique which control factors involved and is used to determine the percentage contribution of each control factor to reveal the effect on the quality characteristics. The increase in S/N ratio determines the increase in control factor. It can be used to investigate the different factors including degree of freedom, sequential sum of square, adjusted sum of square, sequential mean square and the last column indicates the p value for each control parameter. The control factor having a minimum p≥F had significant influence on the responses involved and the control factor having maximum p≤F value contributed less.

3 Results and discussion

3.1 Control factor effects

Table 4 shows the experimental orthogonal array with determined values for pin weight loss, friction coefficient and wear rate. Responses of each control factor on pin weight loss, friction coefficient and wear rate were determined and analyzed using an S/N ratio table.

Table 4

Experimental output for pin weight loss, friction coefficient and specific wear rate.

Pin weight loss (mg)Statistical error (PWL)Coefficient of frictionStatistical error (COF)Wear rate (mm2/N)Statistical error (wear rate)
0.00050.00010.03370.00063.1433722E-102E-10
0.00510.00030.03400.00041.1048614E-081E-08
0.00920.00020.02560.00014.9084690E-106E-10
0.00510.00050.03100.00051.8397867E-097E-09
0.01170.00020.03200.00021.7455071E-093E-09
0.00030.00010.02200.00042.6146848E-116E-11
0.02690.00030.04920.00052.1785219E-081E-08
0.01190.00020.03020.00021.5902873E-103E-10
0.01630.00030.02300.00011.2050141E-092E-09

COF, coefficient of friction; PWL, pin weight loss.

Figure 1A–C show the main effect plot for S/N ratios. Among the PB 0, PB 15 and PB 30, PB 15 (15% blend with conventional lubricant) shows the minimum pin weight loss, friction coefficient and wear rate as it provides a better protective film between metal to metal contact in comparison to PB 0 and PB 30. This could be attributed to the fatty acid composition of the Pongamia oil-based lubricants. These fatty acid compositions consists of molecules which form a long chain covalently bonded hydrocarbon chain and act as an efficient barrier for protecting sliding surfaces contact; they provide better wear protection than conventional hydrocarbon-based lubricants. Esters have polar functional groups which provide better affinity to metal surface and contributed towards formation of a protective layer between metal surfaces. Minimum pin weight loss, friction coefficient and wear rate were observed at a higher sliding velocity and lower load. In comparison to sliding velocity, load had significant effects on the responses considered during the analysis. With increase of load, friction force increases which results in more pin weight loss, friction coefficient and wear rate. PB 15 shows better results with increase of sliding velocity due to higher viscosity of Pongamia oil, which provides a better protective layer with increase of sliding velocity and cannot provide better lubricity at a lower sliding velocity. Another reason behind the better results at higher sliding velocity is the increase of temperature, which reduces viscosity, making it responsible for the formation of an excellent tribo layer. Aluminum has an inherent property of forming an oxide layer on its outer periphery. When sliding at high velocity, the temperature increases over the contact surface, making the material oxidize. This phenomenon leads to the transferring of materials, forming a mechanically mixed layer, also called a tribo layer. As the velocity increases, this tribo layer will act as a barrier or lubricant between the two surfaces, decreasing the coefficient of friction, wear rate and pin weight loss [32]. Optimum results for the control factors considered were determined from the main effect plot. The optimum result for all the responses, i.e. pin weight loss, friction coefficient and wear rate, was A2B3C1. This means that the second level of Pongamia oil blends (%), i.e. PB 15, the third level of sliding velocity, i.e. 3.8, and the first level of load applied, i.e. 50 N, were considered as better control factors.

Figure 1: (A) Main effect plot for pin weight loss (mg), (B) main effect plot for friction coefficient, (C) main effect plot for specific wear rate.
Figure 1:

(A) Main effect plot for pin weight loss (mg), (B) main effect plot for friction coefficient, (C) main effect plot for specific wear rate.

3.2 ANOVA analysis

Tables 57 show the ANOVA table for pin weight loss, friction coefficient and specific wear rate. From Table 5, the Pongamia oil percentage (43.93%) and load (42.5%) had significant influence on the pin weight loss and the contribution of sliding velocity (4.46%) was least as compared to the other two control factors. The reason behind significant influences of the Pongamia oil percentage and load was stated earlier. Among the interactions, sliding velocity with load (5.71%) and Pongamia oil (%) with sliding velocity had significant influences on pin weight loss. It can be observed from Table 6 that sliding velocity (66.42%) and load (17.64%) have a greater contribution on the friction coefficient as compared to Pongamia oil (2.98%). Frictional forces had significant influence on the friction coefficient according to the below formula:

Table 5

The ANOVA for pin weight loss.

SourceDFSeq SSAdj SSSeq MSFp%
Pongamia oil (%)10.00015810.00000840.00015812.460.25743.93
Sliding velocity (m/s)10.00001590.00000640.00001590.250.6684.46
Load (N)10.00015300.00001260.00015302.380.26342.50
Pongamia oil (%)*sliding velocity (m/s)10.00000020.00001830.00000020.000.9630.00
Pongamia oil (%)*load (N)10.00001210.00001830.00001210.190.7073.39
Sliding velocity (m/s)*load10.00002060.00002060.00002060.320.6295.71
Error20.00012860.00012860.0000643
Total8

Adj SS, Adjacent sum of squares; DF, degrees of freedom; F, Fisher’s test; Seq MS, sequential mean of squares; Seq SS, sequential sum of squares.

Table 6

The ANOVA for friction coefficient (μ).

SourceDFSeq SSAdj SSSeq MSFp%
Pongamia oil (%)10.00001380.00000440.00001380.280.6522.98
Sliding velocity (m/s)10.00031300.00000700.00031306.250.13066.42
Load (N)10.00008290.00001260.00008291.660.32717.64
Pongamia oil (%)*sliding velocity (m/s)10.00001830.00004480.00001830.370.6073.93
Pongamia oil (%)*load (N)10.00003430.00003980.00003430.690.4957.33
Sliding velocity (m/s)*load10.00000820.00000820.00000820.160.7241.70
Error20.00010010.00010010.0000501
Total8

Adj SS, Adjacent sum of squares; DF, degrees of freedom; F, Fisher’s test; Seq MS, sequential mean of squares; Seq SS, sequential sum of squares.

Table 7

The ANOVA table for specific wear rate.

SourceDFSeq SSAdj SSSeq MSFp%
Pongamia oil (%)10.000001600.000001643.390.02258.7
Sliding velocity (m/s)10.000000100.00000013.470.2054.8
Load (N)10.000000900.000000922.940.04131.0
Pongamia oil (%)*sliding velocity (m/s)10.000000000.00000000.110.7720.1
Pongamia oil (%)*load (N)10.00000010.00000010.00000013.420.2044.5
Sliding velocity (m/s)*load10.00000000.00000000.00000000.680.4970.9
Error20.00000010.00000010.0000000
Total8

Adj SS, Adjacent sum of squares; DF, degrees of freedom; F, Fisher’s test; Seq MS, sequential mean of squares; Seq SS, sequential sum of squares.

(5)μ=F/N (5)

where F=frictional force in Newton and N is the applied load (Newton).

Among the interactions, Pongamia oil with load has the greatest influence followed by Pongamia oil with sliding velocity and sliding velocity with load.

From Table 7, the Pongamia oil percentage (58.7%) and load (31%) had significant influence on the specific wear rate and the contribution of sliding velocity (4.8%) was least as compared to the other two control factors. The contribution of sliding velocity was least as the wear rate depends on the load applied and volume loss according to the below mentioned formula:

(6)Specific wear rate=volume loss/(loadsliding distance) (mm2/N). (6)

Among the interactions, Pongamia oil percentage with load had the greatest influence followed by sliding velocity with load (5.71%) and Pongamia oil (%) with sliding velocity.

3.3 Validation of optimized results

The last step was to confirm the validity of the optimized results with the experimental results for the quality characteristics. With a new set of control factors A2B3C1, the experiment was performed for the pin weight loss, friction coefficient and wear rate. The predicted experiment for the pin weight loss can be performed according to the following equation:

(7)η=T+(A2-T)+(B3-T)+(C1-T) (7)

where η=estimated average, T=overall experimental average and A2, B3, C1 are the mean responses for the control factors.

An experiment was conducted for the new set of the control factors and the output was compared with the output obtained from the predicted equation as shown in Table 8.

Table 8

Results of the confirmation experiments for pin weight loss, friction coefficient and wear rate.

Optimum control factors
Optimized valueExperimental value
LevelA2B3C1A2B3C1
S/N ratio for pin weight loss (dB)69.170.12
LevelA2B3C1A2B3C1
S/N ratio for friction coefficient (dB)40.641.01
LevelA2B3C1A2B3C1
S/N ratio for wear rate (dB)87.287.9

The following equation was used to obtain the confidence interval for the predicted mean of the confirmation test [33]:

(8)CI=±[F(1,η2)XVeNe]0.5 (8)

where CI=confidence interval, F(1,η2)=F value at required confidence interval at DOF 1, Ve=error variation from ANOVA and Ne=number of replications. The calculated confidence level is ±1.23 dB. The 95% confidence interval for the predicted mean of the confirmation test is shown in Table 9.

Table 9

Confidence interval values for pin weight loss, friction coefficient and wear rate.

ParametersMax. valueMin. value
Weight loss of pin70.367.9
Friction coefficient41.839.4
Wear rate88.486.0

3.4 WSD analysis

Figure 2 shows the WSD of Al-7% Si alloy pin with Pongamia oil blends percentage at different load and sliding velocity. WSD is the formation of worn surface on the hemispherical pin in contact with the disc. WSD increases with increase of load and maximum WSD was observed at 150 N load for each blend considered. This is due to the increase in frictional forces applied with increase of load. The minimum WSD was found at 3.8 m/s sliding velocity and the maximum at 1.3 m/s sliding velocity. It reduces with increase of sliding velocity due to formation of a tribo layer acting as a lubricant, which was formed due to the increase of temperature with increase of sliding velocity. PB 15 shows the minimum WSD among all the Pongamia blends as it provides a better protective layer between metal to metal contacts.

Figure 2: Wear scar diameter at various loads and sliding velocities.
Figure 2:

Wear scar diameter at various loads and sliding velocities.

3.5 FTP analysis

Figure 3 shows the effect of Pongamia oil blend on FTP at different load and sliding velocity. Generally by observation, the trend of FTP is increased when the load is increased from 50 N to 150 N, due to an increase in frictional force with increase of load. For 1.3 m/s sliding velocity, the lubricant performance was improved by 15% contamination of Pongamia oil with conventional lubricant, as viscosity provides a protective film layer with increase of sliding velocity. PB 15 shows a higher FTP compared to other percentages of contamination. It proves that PB 15% was a potential antiwear additive for conventional lubricant. The higher flash temperature ability of PB 15 makes this blend more compatible at high temperature. The lowest value of FTP was found to be at PB 30.

Figure 3: Variation of flash temperature parameter at different loads and sliding velocities.
Figure 3:

Variation of flash temperature parameter at different loads and sliding velocities.

For 3.8 m/s sliding velocity test, the figure shows 15% of Pongamia oil was the highest value of FTP. Pongamia oil 15% was the best additive for fresh lube oil at the temperature of 40°C, in order to reduce wear phenomena. The lowest value occurred at 30% of Pongamia oil. That means, 30% contamination of Pongamia with lube oil was making much wear on metal surface in contact at 40°C.

3.6 Degradation of lubricant

Viscosity is a significant factor in determining the degradation of lubricant, as it provides a protective film thickness between the surfaces in contact and protects wear of metal surfaces during sliding. It is also contributes towards identification of oil grades and for monitoring the change in range of viscosity while the vehicle is in service. The deterioration of used oil can be due to oxidation or contamination, which indicates the increase in viscosity, while dilution of lower viscosity oil or fuel contributed towards a decrease in viscosity. Figure 4 shows the variation of viscosity with Pongamia oil percentages at different loads. It can be revealed from Figure 4 that the viscosity increased with increase in load, due to the oxidation process which results in the sludge formation or contamination of insoluble particles. This contributes towards increment of the length of molecular chain which results in increased viscosity of the used oil. From the figure, it can be seen that for the contamination of Pongamia oil with lube oil, the highest value was stated for 15%. Pongamia oil 15% was the best contamination with lube oil in order to maintain the antiwear characteristic such as kinematic viscosity. The figure also showed that normally the values of kinematic viscosity for all samples at 40°C were higher than 100 centistokes (cSt). It stated that basically the kinematic viscosity of these samples was lower than the samples at 40°C which is below 20 cSt. The lower value of kinematic viscosity was affected by the temperature. With the higher temperature, the kinematic viscosity will be lower due to the liquidity of the samples lubricant.

Figure 4: Variation of kinematic viscosity with Pongamia oil blends at 40°C and 100°C.
Figure 4:

Variation of kinematic viscosity with Pongamia oil blends at 40°C and 100°C.

Figure 5 shows the variation of Pongamia oil blended lubricant at different loads. It can be observed from the figure with increase of load total acid number increases due to increase in friction with applied load. PB 15 shows better results as compared to PB 0 and PB 30. This reveals that PB 15 provides better antiwear characteristics in comparison to other blends.

Figure 5: Total acid number before and after test of different Pongamia oil blends.
Figure 5:

Total acid number before and after test of different Pongamia oil blends.

3.7 Wear mechanism

Worn surface image of the optimum result A2B3C1 is shown in Figure 6. From the left to the right side of the figure, wear surfaces were for the PB 0, PB 30 and PB 15 at 50 N load and 3.8 m/s sliding velocity. Minimum wear surface was observed for Pongamia oil at 15% contamination (PB 15). The PB 15 makes a thick film between the sliding surfaces in contact and protects from wear in comparison to other contaminated Pongamia oil, i.e. PB 30 and PB 0.

Figure 6: Worn surface images of the pin for optimum result A2B3C1.
Figure 6:

Worn surface images of the pin for optimum result A2B3C1.

4 Conclusion

The Taguchi method was applied to optimize the pin weight loss, friction coefficient and wear rate at different control factors. The results are summarized as follows:

  • The Taguchi method was suitable to optimize the tribological behavior of different Pongamia oil blends at various sliding velocities and loads.

  • The optimum condition for the pin weight loss, friction coefficient and wear rate was A2B3C1. It can be revealed at level 2 of the first control factor (PB 15), third level of sliding velocity (3.8 m/s) and third control factor was better at the first level (50 N). Also, as a result of the design method ANOVA, the factor Pongamia oil percentage has the maximum contribution in controlling the friction and wear behavior of pin against the disk.

  • The pin weight loss was influenced primarily by Pongamia oil blend percentage (43.93%), the applied load (42.5%) and sliding velocity (4.46%). The friction coefficient was influenced maximum by sliding velocity (66.42%), load (17.64%) and Pongamia oil blend percentage (2.98%). The specific wear rate was influenced primarily by Pongamia oil blend percentage (58.7%), the applied load (31%) and sliding velocity (4.8%).

  • Generally, it was observed that the interactions between the control factors have significant influences on the weight loss, friction and wear rate of aluminum alloy pin.

  • Deviations between actual and predicted S/N ratios for pin weight loss, friction coefficient and wear rate are negligibly small with 95% confidence level.

  • The WSD increases with increase of load and decreases with increase of sliding velocity. This means that, at lower loads, the WSD under Pongamia contaminated lubricant are lower, whereas at higher loads, the WSD are higher.

  • The results shows that the contaminations of lube oil at 30% of Pongamia oil at 1.3 m/s sliding velocity and 150 N load give higher WSD. At 15% of Pongamia oil, the value of WSD stated that it was the lowest, which means 15% of Pongamia oil got lesser scars and this made it the best antiwear.

  • The higher value of FTP was clearly observed when 15% of Pongamia oil was used. Pongamia oil 15% improves the lubricant (SAE 40) performance, indicating less possibility of lubricant film breakdown.

  • From the observations on worn surfaces of these specimens, 15% of Pongamia oil contaminated lube oil shows better antiwear lubricant properties than others.

  • For the contamination of Pongamia oil with lube oil, the highest value of kinematic viscosity was stated for 15% at both temperatures tested (40°C and 100°C).

According to the experimental results, 15% of Pongamia oil contaminated with the base lubricant showed better performance in terms of wear and friction characteristics and can be the alternative lubricant for the automotive application.


Corresponding author: Yashvir Singh, Department of Mechanical Engineering, College of Engineering Studies, University of Petroleum and Energy Studies, Energy Acres, Via Prem Nagar, P.O. Bidholi, 248007 Dehradun, Uttarakhand, India, e-mail:

About the authors

Yashvir Singh

Yashvir Singh is a graduate in Mechanical Engineering and postgraduate in Thermal Engineering from Uttar Pradesh Technical University, Lucknow, India. He has taken research projects in the fields of tribology and biolubricants. Mr. Singh has more than 8 years of teaching experience and published various research papers in various refereed national and international journals. He is presently working as an Assistant Professor in the Mechanical Engineering Department, University of Petroleum and Energy Studies, Dehradun, India.

Rajnish Garg

Rajnish Garg obtained his BE, ME and PhD degrees, respectively, in the fields of Mechanical Engineering, Materials Engineering and Fibre Reinforced Metal Matrix Composites from the Indian Institute of Technology (IIT) Roorkee, India. Dr. Garg has more than 20 years of teaching/research/industry experience. He has guided/is guiding many PhDs and has published many research papers in various refereed national and international journals. Presently, he is a Professor in the Mechanical Engineering Department, University of Petroleum and Energy Studies, Dehradun, India.

Suresh Kumar

Suresh Kumar obtained his PhD from IIT Delhi. He is a Professor in the Mechanical Engineering Department, University of Petroleum and Energy Studies Dehradun, Uttarakhand, India. His research interests are solar thermal systems, power plants and IC engines.

Acknowledgments

The author would like to thank the Department of Mechanical Engineering, College of Engineering Studies, University of Petroleum and Energy Studies, Dehradun, India for making this study possible.

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Received: 2015-7-19
Accepted: 2015-8-14
Published Online: 2015-9-25
Published in Print: 2015-10-1

©2015 by De Gruyter

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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