Wear element analysis using neural networks of a DI diesel engine using biodiesel with exhaust gas recirculation

• Published in: Energy (Oxford) Vol. 114; pp. 603 - 612
• Main Authors: Manieniyan, V., Vinodhini, G., Senthilkumar, R., Sivaprakasam, S.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.11.2016
• Subjects: biodiesel; combustion; diesel engines; Engine; engine parts; lubricants; metals; Modeling; Neural; neural networks; prediction; regression analysis; Wear; Modeling; Wear; Engine; Neural

Wear is an important characteristic because of its great value in connection with the engine parts. The main focus of this work is to analyze the effect of neural network models for predicting engine performance such as wear of the DI diesel engine using B20 blend of Methyl Ester of Mahua (MEOM) and...