2023
DOI: 10.35860/iarej.1322332
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Combined application of ANN prediction and RSM optimization of performance and emission parameters of a diesel engine using diesel-biodiesel-propanol fuel blends

Yusuf KARABACAK,
Doğan ŞİMŞEK,
Nuri ATİK

Abstract: In this study, the performance and exhaust emission parameters of a diesel engine operating with diesel/biodiesel/propanol fuel mixtures were estimated by Artificial Neural Network (ANN). In addition, the parameters estimated by ANN were tried determining the optimum operating parameter by using Response Surface Methodology (RSM). In the experimental study, propanol was added in 3 different ratios (5%, 10% and 20%) into 100% diesel, 80% diesel and 20% biodiesel fuel blends. In addition, engine tests, were made… Show more

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