Artificial Neural Network Modeling and Sensitivity Analysis of Performance and Emissions in a Compression Ignition Engine Using Biodiesel Fuel
作者： Farzad Jaliliantabar , Barat Ghobadian , Gholamhassan Najafi , Talal Yusaf
DOI: 10.3390/EN11092410
关键词:
摘要: In the present research work, a neural network model has been developed to predict exhaust emissions and performance of compression ignition engine. The significance novelty with respect existing literature, is application sensitivity analysis an artificial (ANN) simultaneously in order engine parameters. inputs were load (0, 25, 50, 75 100%), speed (1700, 2100, 2500 2900 rpm) percent biodiesel fuel derived from waste cooking oil diesel (B0, B5, B10, B15 B20). relationship between input parameters cylinder can be determined by network. global results show that all investigated factors are effective on created cannot ignored. addition, it found most decreased while using
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