Application of Hybrid RSM-NSGA-II for The Prediction of Pareto Optimal Solutions of Waste Cooking Sunflower Biodiesel Based Engine |
Author(s): |
| Sunil Dhingra , UIET, Kurukshetra University, Kurukshetra, Haryana, India-136118 |
Keywords: |
| Waste Cooking Sunflower Biodiesel, Response Surface Methodology, Hybrid RSM-NSGA-II, Regression Model |
Abstract |
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The biodiesel mix with diesel in certain amount is used to run the compression ignition engines. The biodiesel from waste oils are now common to run the diesel engines. The optimum combination of engine input parameters is the aim of present work. Hence hybrid RSM-NSGA-II technique is to be applied in order to predict pareto optimal solutions of asingle cylinder VCR test rig. It is observed from the confirmatory experiments that error between the actual and theoretical values lie within 5% which shows the authenticity of the predicted optimal solutions. |
Other Details |
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Paper ID: IJSRDV4I31634 Published in: Volume : 4, Issue : 3 Publication Date: 01/06/2016 Page(s): 2091-2093 |
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