Optimization of Combustion Characteristics of Diesel Engine Fueled by Biofuels and Its Diesel Blends with Additive Titanium Dioxide Nano-Particles

Optimization of Combustion Characteristics of Diesel Engine Fueled by Biofuels and Its Diesel Blends with Additive Titanium Dioxide Nano-Particles

Jacob SKarikalan L 

Department of Automobile Engineering, VELS Institute of Science, Technology & Advanced Studies (VISTAS), Pallavaram, Chennai, Tamil Nadu 600 117, India

Corresponding Author Email: 
jacobthermal@gmail.com
Page: 
1973-1978
|
DOI: 
https://doi.org/10.18280/ijht.390636
Received: 
2 December 2021
|
Revised: 
20 December 2021
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Accepted: 
27 December 2021
|
Available online: 
31 December 2021
| Citation

© 2021 IIETA. This article is published by IIETA and is licensed under the CC BY 4.0 license (http://creativecommons.org/licenses/by/4.0/).

OPEN ACCESS

Abstract: 

The fuel crisis throughout the world made many countries to be aware of their vulnerability to oil shortages. So many researches are still in progress and focus on the growth of bio fuel usage. In this regard, alternative fuels and the drivetrain play a major rule in critical emission issues. However, at the same time, enormous and vast number of vehicles have started to claim and place their heavy demand for alternative sources of fuel. Of course, gasoline and diesel, the conventional fuels will become scarce and much costlier. With a present known reserves and steep rise of demand and rate of consumption, hope of crude oil import is not going to last long. The CFD investigation is to find the combustion characteristics of the BioFuel with the various compositions of mixing with diesel, the Kirloskar IC Engine is taken for this research and the results of pressure, velocity, turbulence kinetic energy, temperature gradients, fuel combustions, oxidizers volume fractions also obtained from the CFD analysis results. CFD Analysis of Biodiesel combustion done in ANSYS Fluent. Software modeling of IC Engine done in CATIA V5 Software. Jatropha Methyl Ester (JME) and Mahua Methyl Ester (MME) are used for this research. Combustion characteristics in addition to emission parameters are assessed then a conclusion can be drawn.

Keywords: 

biofuel, jatropha methyl ester, CFD, mahua methyl ester, Kirloskar, combustion, emission characteristics, optimization

1. Introduction

The transport vehicle population is still in increase over the past decade. Environmental problem and degradation are an ever-remaining problem for the outcome of enormous growth in motor vehicle population [1-3]. This issue directly and indirectly raises the urgent need of suitable alternative fuels. Unlike other developed countries, India is happened to be a diesel-based economy [4, 5]. It is an alarming signal that oil production is supposed to reach a peak beyond 2016 and from there on, it is estimated to eventually decrease ever. So, it is a clear fact that without some other appropriate alternative fuels, mankind will experience to sustain eco-mobility in the future [6, 7]. Diesel engines are utilized generally throughout the world as power plants for different purposes because of their incredible drivability and economy. However, they are likewise the significant supporters of air toxins like CO, NOx, CO2, and other harmful mixtures. Venkateswara Rao [8] and Sureshkumar et al. [9] simultaneously the worldwide fuel emergencies and expansion in fuel costs have driven us to the need of building up another fuel that would answer these issues [10-12]. For about 10 years explores and examinations were directed on the utilization of ethanol-diesel mix as a fuel in the diesel engine. Numerous recommendations were made and few analyses were executed. A considerable outcome arrives at a resolution that ethanol diesel mix could take care of the issues referenced previously [13-16]. The point of this task is to track down the ideal ethanol-diesel mix that suits the diesel engine. With the assistance of different techniques to discover fuel properties, execution tests on diesel engines for different fuel mixes, and programming investigation the ideal mix is discovered [17-19]. Niemi et al. [20, 21] had led execution in a diesel engine utilizing mustard seed oil. The engine brake power with mustard seed oil was practically equivalent to that of diesel fuel oil (DFO). The BTE was estimated at 41% for diesel fuel and 40% for mustard seed oil. The utilization of mustard seed oil diminished the fumes smoke and NOx emanations. Neither did the fumes of HC emanations decide to utilize an FT-IR analyzer nor did the engine exhibition uncover any huge contrast between mustard seed oil and the diesel fuel. The force of the engine energized with mustard seed oil was 5% lower than diesel. Radu and Mircea [22] examined engine yield power, force, fuel utilization, and so on in a diesel engine for sunflower oil and a blend containing half sunflower oil and half diesel fuel. The presentation of the engine was resolved through direct estimation. The yield power decreased by 37% for flawless sunflower oil. This decrease in power was because of lower burning warmth, higher thickness, and the diverse conduct of the infusion gear. The abatement of the mean pace of infusion diminished the engine commotion. The vegetable oil-diesel oil blend appeared to be a superior option in contrast to unadulterated oils. The expansion in the engine force utilizing this combination forced changes in the infusion timing [23-25]. Graef et al. directed a test on diesel engine with arranged biodiesel powers from feedstocks with adjusted syntheses including the methyl esters of low palmitic soybean oil, a halfway trans esterified soybean oil, an engineered mix of immersed esters were mixed with No.2 diesel in 20%, half focuses [26]. They showed that the engine exhibition and burning cycle of the relative multitude of mixes were practically like No.2 diesel fuel, with 13% higher fuel utilization and a more limited start delay. Decreases in CO, HC, absolute particulate and 5.2% expansion NOx were likewise observed [27-30].

2. Experimental Analysis of Jatropha and Mahua Oil Biodiesel

Figure 1. Experimental setup

Table 1. Properties of fuel

Properties

Diesel

JME

MME

JME&MME

Density kg/m3

820

834

835

835

Viscosity

@400C CST

2.8

3.17

3.14

3.12

Calorific value MJ/kg

42.5

41.19

41.20

41.22

Flashpoint ºC

57

70

71

68

Fire point ºC

67

79

77

76

Ball processing is the technique for the creation of nano materials additives for biodiesel. This measure is utilized in the creation of metallic and artistic nano materials. These plants are outfitted with a crushing medium made out of carbide or steel. Ball milling factories turn in an even pivot incompletely loaded up with material to be grounded in addition to the pounding medium. In this research powdered Titanium dioxide material is used as an additive with biodiesel. The biodiesel is prepared by blending the titanium dioxide additives in the manual methyl ester with the help of a Sonicator system. The sonicator function is to stir the nano-additives in biodiesel (mahua methyl ester). Trials were directed in Single cylinder Kirlosker computerized CI Engine as shown in Figure 1. with dissimilar biofuels mixes of JME (Jatropha Methyl Ester) and Mahua Methyl Ester (MME). The investigations on direct injection, single-cylinder, compression Ignition engine at various injection pressure utilizing different blends. A 5HP (3.5 kW) four-stroke C.I engine as shown in Figure 1 is picked to examine the performance and combustion characteristics. The airstream rate into the engine is estimated with the help of mass stream sensors and fuel utilization is estimated using the burette technique. Sensors were used to gather, store and analyze the information by computerized information obtaining systems (IC engines). Different sensors were used during the trial of the engine. Loading was applied to the engine and the test was conducted at various loads. The EGR is used to measure Nitrogen Oxide (ppm), CO (Carbon mono oxide) (% vol), Unburnt Hydrocarbon (ppm), Carbon dioxide (%) radiation in the vapor. Table 1 shows the properties of different blends.

3. Methodology

The test information on variable compression ratio diesel engines is methodically examined. The impact of blend proportion and fuel injection pressure at a CR of 17.5 has been analyzed by different load conditions. Three blends properties have been compared with diesel to comprehend the impact of every condition. The performance of the VCR (Variable Compression Ratio) diesel engine was discovered to be smooth everywhere on the full load condition at various pressure, compression Ratio (CR17.5:1) with no operative challenges for dual biodiesel mix diesel fuel. The IC engine BTE (Brake thermal efficiency) is the proportion of the thermal power in fuel to the energy conveyed by the engine at the driving rod. It significantly relies upon the way where the energy is changed over as the productivity is standardized concerning the fuel calorific value. The brake thermal efficiency shows the capacity of the combustion system to get the exploratory fuel and offers equivalent methods for evaluating how proficient the energy in the fuel can be changed into mechanical yield.

4. Mathematical Modeling and Optimization

Figure 2 shows the 2-D model of the CI Engine with its specifications. Figure 3 shows the 3-D model of CI Engine to be analyzed in Ansys software.Figure 3 shows the mesh model of the CI engine to be analyzed with biodiesel in ANSYS Fluent Software.

The analysis is carried out in Ansys fluent software and the output result is compared through the optimization method.

The mesh model of the Kirloskar Diesel Engine is taken for analyzingStatic pressure contours, Static Temperature Contours, Mass Fraction Contours of CO2, Mass Fraction Contours of N2, Mass Fraction Contours of H2O, Mass Fraction of O2 of Combustion ofJME (Jatropha Methyl Ester) and Mahua Methyl Ester (MME).

Figure 2. 2-D Model of IC engine

Figure 3. Mesh model of IC engine

4.1 Analysis of JME and MME biodiesel

The modeled CI engine is analyzed using ANSYS FLUENT as shown in Figure 4 to simulate the combustion and thermal flow and to determine static pressure contours of combustion with Jatropha Methyl Ester (JME) and Mahua Methyl Ester (MME) as a biofuel.The input values are fed to the software for analysis.

Figure 4. Static pressure contours of combustion JME

Figure 5. Values of the static pressure of combustion JME and MME

The output graph as shown in Figure 5 is plotted with the values obtained from the above analysis of static pressure contours of combustion of Jatropha Methyl Ester (JME) and Mahua Methyl Ester (MME) using Ansys Fluent. From the overall comparison,Mahua Methyl Ester (MME) biodiesel gives better results for static pressure around 400 Pascal.

4.2 Static temperature analysis

Figure 6 shows the output of static temperature contours of combustion of Jatropha Methyl Ester (JME) and Mahua Methyl Ester (MME) with the aid of Ansys.The red contour denotes the highest temperature region and the blue contour denotes the minimum temperature region.Temperature is measured in units of Kelvin. Mahua Methyl Ester biodiesel gives better results for static temperature of 2250 K compared to Jatropha Methyl Ester results for 1400 K.

Figure 6. Static temperature contours of combustion MME

Figure 7. Values of static temperature of combustion JME and MME

The output graph as shown in Figure 7 is plotted with the values obtained from the above analysis of static temperature contours of combustion of Jatropha Methyl Ester (JME) and Mahua Methyl Ester (MME) using Ansys Fluent. Fromthe overall comparison,Mahua Methyl Ester (MME) biodiesel gives the best results in static temperature compared to Jatropha Methyl Ester (JME).

4.3 Mass fraction of CO2 analysis

The mass fraction of CO2 emission in CI Engine is analyzed with two different biodiesel i.e Jatropha Methyl Ester (JME) and Mahua Methyl Ester (MME) as displayed in the Figure 8.The analysis is done using Ansys software.The yellow contour indicates average emission and red contours indicate the maximum CO2 emissions. Jatropha Methyl Ester gives less CO2 emissions of 0.2 parts per million (ppm) compared to Mahua Methyl Ester (MME).

Figure 8. Mass fraction contours of CO2 of combustion JME

Figure 9. Values of mass fraction of CO2 of combustion JME and MME

The output graph is plotted with the values obtained from the above analysis of mass fraction contours of CO2 of combustion of Jatropha Methyl Ester (JME) and Mahua Methyl Ester (MME) using Ansys Fluent as displayed in Figure 9. From the overall comparison,Jatropha Methyl Ester (JME) biodiesel gives less CO2 emission compared to Mahua Methyl Ester (MME).

Figure 10. Values of mass fraction of N2 of combustion of JME and MME

4.4 Mass fraction of N2 analysis

The mass fraction of N2 is analysed for the Jatropha methyl ester blend and Mahua methyl ester blend using ANSYS Fluent. The mass fraction contours of nitrogen emission after combustion of JME and MME are analysed. The N2 emission is more or less similar for both JME and MME blends. The output graph is plotted with the values obtained from the above analysis of mass fraction contours of N2 of combustion of Jatropha Methyl Ester (JME) and Mahua Methyl Ester (MME) using Ansys Fluent as shown in Figure 10. From the overall comparison,Jatropha Methyl Ester (JME)biodiesel gives the same N2 emission compared to Mahua Methyl Ester (MME).

4.5 Mass fraction contours of H2O

The mass fraction of H2O is analyzed with two different biodiesels i.e. Jatropha Methyl Ester (JME) and Mahua Methyl Ester (MME) as displayed in Figure 11. The analysis is done using Ansys software.The blue contour indicates the minimum value zone and the red contour indicates the maximum value zone.

Figure 11. Mass fraction contours of H2O of combustion MME

The output graph is plotted as shown in Figure 12 with the values obtained from the above analysis of mass fraction contours of H2O of combustion of Jatropha Methyl Ester (JME) and Mahua Methyl Ester (MME) using Ansys Fluent. From the overall comparison,Jatropha Methyl Ester (JME)biodiesel gives the lower fraction of H2Oemission compared to Mahua Methyl Ester (MME).

Figure 12. Values of mass fraction of H2O of combustion JME and MME

4.6 Mass fraction of O2 Analysis

The mass fraction of O2 emission in CI Engine is analyzed with two different biodiesel i.e Jatropha Methyl Ester (JME) and Mahua Methyl Ester (MME).The analysis is done using Ansys softwareas displayed in Figure 13. The blue contour indicates the minimum value zone.Jatropha Methyl Ester (JME) and Mahua Methyl Ester (MME) gives similar  values.

Figure 13. Mass fraction contours of O2 of combustion JME and MME

The output graph as displayed in Figure 14 is plotted with the values obtained from the above analysis of mass fraction contours of O2 of combustion of Jatropha Methyl Ester (JME) and Mahua Methyl Ester (MME) using Ansys Fluent. From the overall comparison,Jatropha Methyl Ester (JME)biodiesel gives the same O2 emission compared to Mahua Methyl Ester (MME).

Figure 14. Values of mass fraction of O2 of combustion JME and MME

5. Conclusion

Effects of blends on alone chamber variable compression ratio diesel engine credits ride by double biodiesel blends B20 mixed extents (JME15MME5, JME10MME10, and JME5MME15) were effectively thought of. Coming up next are the goals from this assessment. Double Biodiesel blends in with 5% Jatropha Methyl Ester (JME) oil, 15% Mahua Methyl Ester (MME) oil, and 80 % Diesel with more mixture squeezing element be able to be picked as a choice fuel. This work gives strong data to scholars to pick a sensible bio-diesel mix. This examination outfits measurable data about the introduction of the engine with hybridbio-diesel. Higher brake thermal efficiency and low BSFC, feweremissions are overwhelming assets of the picked dualbio-diesel mix. Nevertheless, the NOx ability toward be lessened by picking sensible advancement. Assessment of property of the biodiesel like Viscosity, calorific worth, urges the originators to pick the diverse blends of blends. Execution relationship of the blend in with C.I engine showed the biodiesel blend is the adequate unlimited basis to meet energy disaster and to statement the eco-obliging social issue. The assessment expands the data’s base identifying with biodiesel. The CFD Analysis of Biodiesel done in two different biodiesel Jatropha Methyl Ester (JME) and Mahua Methyl Ester (MME) is used in the transport combustion model is used for this CFD Analysis, the CFD Results shows the Pressure, Temperature, and Pressure pattern inside the combustion chamber, volume fraction of the by-products during combustion is analyzed. From the overall comparison, Mahua Methyl Ester (MME) biodiesel blendgives the best results in combustion characteristics but in emission characteristics, Jatropha Methyl Ester (JME) gives better results.

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