Optimization of diesel engine operating parameters fueled with palm oil-diesel blend: Comparative evaluation between response surface methodology (RSM) and artificial neural network (ANN)

Uslu, Samet

doi:10.1016/j.fuel.2020.117990

Cited by 148 publications

(33 citation statements)

References 42 publications

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“…Owing to the increasing cetane number, evaporation speed increases and therefore burning speed also increases yielding higher burning temperature and reducing the amount of HC emission. The reduction in HC emission, on the other hand, causes a rise in temperature within the cylinder, and owing to this reason, increases were detected in NOx amounts [32]. One can see that there is a reasonable compatibility between the nitrogen oxides obtained within this study and the other research results [26][27][28][29][30].…”

Section: Fig 7 Nox Emission Changes With Engine Loadssupporting

confidence: 77%

Increasing Cetane Number of the Diesel Fuel by Fuel Additives

Şimşek

2020

International Journal of Automotive Science and Technology

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Current study uses DieselFX (DFX) additive to increase the cetane number of the diesel fuel used in compression-ignition (CI) engines, reduce carbon monoxide (CO) and hydrocarbon (HC) emissions, and improve engine performance. In this respect, the effects of the additive used in diesel engines were analyzed. A Katana brand, KM 178 FE model, single-cylinder, air-cooled engine was started at a constant engine speed with different loads for the experiments. By adding the additive in 1% and 2% ratios the cetane number was increased to 62 and 75, respectively, furthermore at 3% and 5% additive ratios the cetane number value reached over 76. In result of the experiments, DFX2 offers 12.24% increase on efficiency compared to the diesel fuel and 6.87% increase in specific fuel consumption. As for the emission values, with the use of DFX5 44.23% reduction in HC emission and 50% reduction on average in CO emission was observed at 3000W load compared to additive-free diesel fuel. Moreover, 37.84% increase was observed in carbon dioxide (CO2) emission at 3000W engine load for DFX2 whereas 52.11% increase was observed in nitrogen oxide (NOx) emission for DFX5.

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Section: Fig 7 Nox Emission Changes With Engine Loadssupporting

confidence: 77%

Increasing Cetane Number of the Diesel Fuel by Fuel Additives

Şimşek

2020

International Journal of Automotive Science and Technology

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“…In recent times, researchers used various optimization techniques, like ANN and RSM; thereby, they can easily predict performance, combustion, and emission parameters relevant to their work. As per their assessment, it is easy to understand the influence of blends thoroughly; thereby, R&D cost may reduce [11][12][13]. However, so many complications may arise while doing the experimental work on IC engine to analyze its performance and emissions.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Analysis on Emissions and Performance of Ceramic Coated Diesel Engine Fueled with Novel Blends Using Artificial Intelligence

Kotteda¹,

Chekuri²,

raju³

et al. 2021

Advances in Materials Science and Engineering

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The exhaustive nature of petroleum products triggers the obstacles of scarcity, economic imbalance, and environmental depletion. It is difficult to avoid their usage all of a sudden and switch to clean electric prime movers. Under all these circumstances, the researchers may initiate their investigations on alternative fuels for preeminent solution. The present study covers the performance and emissions of a single cylinder, four-stroke, diesel engine fueled with Pongamia pinnata and Calophyllum inophyllum biodiesels added with n-butanol additive at various proportions. In this investigation, the piston has been coated with ceramic material with a thickness of 200 µm topcoat. The blends have been tested at 1500 rpm speed and rated compression ratio of 17.5 : 1 at various operating loads. A comparative result analysis has been made on the engine parameters operated by diesel and showed that mechanical efficiency gradually increases with a percentile increment of n-butanol in the blend. Moreover, emissions such as CO, CO2, NOx, and opacity were found to be reduced for the samples having high amount of n-butanol, whereas HC emissions slightly increased. In addition, all the exhaust gases have been predicted by using second-order polynomial equations generated and artificial Intelligence technique, and the comparative analysis has been made. It has been identified that ANN showed an average accuracy of prediction superior than regression analysis.

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“…Despite the high efficiency of diesel engines, their emissions, especially NOx and smoke emissions, have many negative effects on human health and the environment [3][4][5]. On the other hand, petroleum-based fuel reserves are running out rapidly due to the increase in the world population and increasing energy demand in parallel with the development of the industry [6]. Studies on diesel engines are carried out for simultaneous reductions of fuel consumption and emissions due to both the depletion of fossil fuel reserves and high emission levels [7].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of Biodiesel and Diethyl Ether Doped Diesel Engine by Taguchi Method

Uslu

2020

International Journal of Automotive Science and Technology

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In present study, it was targeted to optimize multiple impacts of palm oil ratio, diethyl ether (DEE) percentage and engine load on the performance and emissions of a single cylinder diesel engine. The experiments were de-signed on the basis of the Taguchi L27 orthogonal array, which accepts palm oil percentage, DEE ratio and load as variables, brake thermal efficiency (BTE), brake specific fuel consumption (BSFC), nitrogen oxide (NOx) emis-sion and smoke emission as responses. The impacts of engine running factors on responses were defined by analysis of variance (ANOVA). S / N ratio and interactions plots were created for each answer to show optimum factor lev-els. The results showed that the most effective parameters in general on all engine outputs are the load and DEE ratio. In addition, considering the find-ings obtained, the best working variables of the engine were determined as 5% DEE percentage, 6% palm oil percentage, and 850-Watt load. The best BTE, BSFC, NOx and smoke emission obtained according to optimum work-ing parameters were found as 30.73%, 824.59 g/kWh, 292.20 ppm and 68.91%, respectively. Mean errors between experimental and optimized re-sults were found as 0.46%, 1.75%, 3.72% and 0.16% for BTE, BSFC, NOx and smoke emission, respectively. These results showed that the Taguchi de-sign method can be used as an effective tool to determine the impact rates of engine operating parameters and to optimize operating parameters, engine performance and emissions based on the determined impact rates.

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Optimization of diesel engine operating parameters fueled with palm oil-diesel blend: Comparative evaluation between response surface methodology (RSM) and artificial neural network (ANN)

Cited by 148 publications

References 42 publications

Increasing Cetane Number of the Diesel Fuel by Fuel Additives

Increasing Cetane Number of the Diesel Fuel by Fuel Additives

[Retracted] Analysis on Emissions and Performance of Ceramic Coated Diesel Engine Fueled with Novel Blends Using Artificial Intelligence

Multi-Objective Optimization of Biodiesel and Diethyl Ether Doped Diesel Engine by Taguchi Method

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