Optimisation of operating parameters of DI-CI engine fueled with second generation Bio-fuel and development of ANN based prediction model

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• 作者：S.V. Channapattana^a ; ^{shylesha@gmail.com} ; Abhay A. Pawar^a ; Prashant G. Kamble^b
• 关键词：Multi-objective optimisation ; Artificial neural networks ; Exhaust emission ; Bio-diesel ; Regression analysis
• 刊名：Applied Energy
• 出版年：2017
• 出版时间：1 February 2017
• 年：2017
• 卷：187
• 期：Complete
• 页码：84-95
• 全文大小：1404 K
• 卷排序：187

文摘

Engine output at different compression ratio, injection timing/ pressure, blends. Blends of Biodiesel and Diesel used are B0, B20, B40, B60, B80, and pure Biodiesel. Multi-objective optimisation conducted based on Genetic Algorithm. Optimal values of compression ratio, injection timing/pressure, blends are found. ANN model is developed to predict the performance and emissions.