Performance optimization of CI engine fuelled with waste fried oil methyl ester-diesel blend using response surface methodology

Hirkude, Jagannath; Padalkar, Atul S.

doi:10.1016/j.fuel.2013.11.039

Cited by 101 publications

(41 citation statements)

References 25 publications

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“…It was withal demonstrated that the worth reactions for an AP more dominant than 4 mean a satisfactory sign implicatively hinting that these models can be habituated to explore the structure space [25]. The relapse measurements decency of fit (R2) and the integrity of foretell for the reactions of brake power were 89.38% and 87.69% separately [26] [27]. The gasoline-ethanol blends were set up in the proportion of 1:0.05(E5), 1:0.11(E10), 1:0.176(E15), 1:0.25(E20), 1:0.33(E25), 1:0.428(E30) and 1:0.538(E35).…”

Section: B Experimental Methodsmentioning

confidence: 97%

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Parametric Optimization in SI Engine Fuelled With Gasoline-Ethanol Blends Using Response Surface Methodology

Kumar.M,

Math

2019

IJEAT

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Alcohols are a unit gaining attention everywhere in the world has an alternate to gasolene. Among alcoholic alternative combustible fuels such as Biogas, Hydrogen, Methanol, Biodiesel and Ethanol, Ethanol is the best-listed alternative renewable and neat fuel for Spark Ignition (SI) engines as blends in various fractions boosts the oxygen content, leads to promising minimum emissions as compared to non-blended fossil fuels. Non-oxygenated gasoline-ethanol blends were prepared, with 5% to 35 % ethanol to boost the Octane rating. Iso-octane is also added in to the blends as an additive (3% to 5%). The results from the engine test for the prepared blends at constant loading conditions are analyzed and optimized by RSM and DoE. It was found that at E30 blend with 5% Iso-octane additive found minimum BSFC and higher BTE. The emission characteristics like CO, CO2, HC, and NO2 are quite low for the given maximum constant loading conditions (9kg) with setted Compression Ratio (9) and at rated speed. The perceptions produced using the test that E30 blends and 5% of additive Iso-Octane have come about better engine performance' and least 'emitants' when contrasted with other tested blends.

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Section: B Experimental Methodsmentioning

confidence: 97%

“…From the statistical tool RSM using Design Expert software for optimization of responses governed by desirability parameters approach, several optimal solutions were obtained between the objective function seen between 0 and 1 [26]. The prominent responses will vary from 1 to 5 that indicate the minimum to maximum significant responses.…”

Section: Optimizationmentioning

confidence: 99%

Parametric Optimization in SI Engine Fuelled With Gasoline-Ethanol Blends Using Response Surface Methodology

Kumar.M,

Math

2019

IJEAT

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“…Engine torque is modelled as a function of engine speed ( ). The second-order quadratic model is normally suggested since it is sufficient to fit the data in most cases [8][9][10] without overfitting [11]. The quadratic model contains a squared term ( 2 ), a linear term ( ), and a constant term ( ), which have coefficients of and as shown in (1).…”

Section: Mathematical Modelling and Quadratic Predictionmentioning

confidence: 99%

Quadratic Prediction Models for the Performance Comparison of a Marine Engine Fuelled with Biodiesels B5 and B20

Poompipatpong

2014

International Journal of Engineering Mathematics

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According to Thailand’s renewable energy development plan, biodiesel is one of the interesting alternative energies. In this research, biodiesels B5 and B20 are tested in a marine engine. The experimental results are then compared by using three different techniques including (1) the conventional technique, (2) average of the point-to-point comparisons, and (3) a comparison by using quadratic prediction models. This research aims to present the procedures of these techniques in-depth. The results show that the comparison by using quadratic prediction models can accurately predict ample amounts of results and make the comparison more logical. The results are compatible with those of the conventional technique, while the average of the point-to-point comparisons shows diverse results. These results are also explained on the fuel property basis, confirming that the quadratic prediction model and the conventional technique are practical, but the average of the point-to-point comparison technique presents an inaccurate result. The benefit of this research shows that the quadratic prediction model is more flexible for future science and engineering experimental design, thus reducing cost and time usage. The details of the calculation, results, and discussion are presented in the paper.

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“…Palm oil blend of 20% in diesel was used to study the combustion characteristics of a Compression Ignition (CI) engine, Rosha et al, [6] report that ignition delay lowers while peak cylinder pressure and Brake Thermal Efficiency (BTE) raises with increasing Compression Ratio (CR). Researchers have optimized engine operating characteristics using RSM for a variety of fuels, to name a few such as fried oil methyl ester, hydrous ethanol, iso-butanol and methanol [7][8][9][10]. Based upon the work carried out by previous researchers, it was understood that there was a knowledge gap particularly in using RSM analysis for engine fuelled by PBD blended fuel for RSM analysis based on experimental engine test results.…”

Section: Introductionmentioning

confidence: 99%

Analytical Study of Performance and Emission Characteristics of a Palm Biodiesel Fuelled Engine using Response Surface Methodology

Teoh¹,

Krishnan²,

How³

et al. 2020

ARFMTS

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Alternative fuels are in the limelight due to depleting fossil fuel reserves and alarming environmental impact of pollution. Even though electric mobility is encouraged by the government to reduce the dependence on fossil fuel, lack of high energy density batteries still downplays the mass marketable scope of electric vehicles due to drivable range in which liquid fueled vehicles have the advantage. Response Surface Methodology (RSM), a statistical mathematic technique is utilized to analytically study the impacts of Palm Biodiesel (PBD) blended diesel fuel at enrichment ratio of 10%, 20%, and 40% on performance and emission characteristics of a multi cylinder compression ignition (CI) engine. The study concludes that engine torque and power improve with mild palm oil enrichment of 10% notably at low end speed of 2000 rpm. CO2 and CO emissions and smoke decline while higher O2 content present in PBD compared to pure Diesel gives rise to NOX emissions.

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Performance optimization of CI engine fuelled with waste fried oil methyl ester-diesel blend using response surface methodology

Cited by 101 publications

References 25 publications

Parametric Optimization in SI Engine Fuelled With Gasoline-Ethanol Blends Using Response Surface Methodology

Parametric Optimization in SI Engine Fuelled With Gasoline-Ethanol Blends Using Response Surface Methodology

Quadratic Prediction Models for the Performance Comparison of a Marine Engine Fuelled with Biodiesels B5 and B20

Analytical Study of Performance and Emission Characteristics of a Palm Biodiesel Fuelled Engine using Response Surface Methodology

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