COMPARISON OF MLR AND RSM PREDICTION MODEL FOR SPECIFIC FUEL CONSUMPTION OF CI ENGINE FUELED WITH WASTE PLASTIC OIL AND DIESEL BLENDS

Authors

  • Parimal G Patel (ME Scholar, Mechanical Engineering Department, LDRP-ITR, KSV University, Gandhinagar, India)
  • Vijay V Patel (Lecturer, Mechanical Engineering Department, LDRP-ITR, KSV University, Gandhinagar, India)
  • Tushar M Patel (Professor, Mechanical Engineering Department, LDRP-ITR, KSV University, Gandhinagar, India)

Keywords:

Response Surface Method (RSM),Multiple Linear Regression (MLR), Waste plastic oil (WPO), Blend Ratio, Injection pressure, Load, orifice plate diameter

Abstract

The main objective of the research is to compare the accuracy of Response Surface Methodology (RSM) and
Multiple Linear Regression (MLR) model for specific fuel consumption (SFC) for waste plastic oil (WPO) blended with
diesel used in single cylinder diesel engine. In study, different blend ratio (100D0B, 50D50B, 0D100B), injection
pressure (high, medium, low), load (2 kg, 7 kg, 12 kg), orifice plate diameter (full, low) are considered as input
parameters. Response Surface Methodology (RSM) and Multiple Linear Regression (MLR) models were arranged using
the results of experiments to predict for specific fuel consumption for waste plastic oil blended with diesel used in a
single cylinder diesel engine. The result and comparative data clearly indicate that Response Surface Methodology
prediction is more accurate than Multiple Linear Regression prediction.

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Published

2018-03-25

How to Cite

Parimal G Patel, Vijay V Patel, & Tushar M Patel. (2018). COMPARISON OF MLR AND RSM PREDICTION MODEL FOR SPECIFIC FUEL CONSUMPTION OF CI ENGINE FUELED WITH WASTE PLASTIC OIL AND DIESEL BLENDS. International Journal of Advance Engineering and Research Development (IJAERD), 5(3), 1306–1313. Retrieved from https://www.ijaerd.org/index.php/IJAERD/article/view/2910

Issue

Vol. 5 No. 3 (2018): Volume 5 Issue 3 March 2018

Section

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