An experimental-based artificial neural network performance study of common rail direct injection engine run on plastic pyrolysis oil

Artificial neural network model was constructed to analyse and evaluate the engine performance. The experiments were conducted on a diesel engine with the blend of plastic pyrolysis oil with diesel and ethanol. Three input layer with two hidden layers and five output layers were used in artificial n...

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Hlavní autoři:	S. V. Khandal, Sudershan B. Gadwal, Venkatesh A. Raikar, T.M. Yunus Khan, Irfan Anjum Badruddin
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Taylor & Francis Group 2021-03-01
Edice:	International Journal of Sustainable Engineering
Témata:	common rail direct injection (crdi) plastic pyrolysis oil (ppo) ethanol engine performance exhaust gas recirculation (egr) artificial neural network (ann)
On-line přístup:	http://dx.doi.org/10.1080/19397038.2020.1773568
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