Asian Journal of Research in Social Sciences and Humanities
  • Year: 2016
  • Volume: 6
  • Issue: 7

Optimizing the Supercharger Effect on the Performance and Emission of Biogas Diesel Engine using ANFIS

*Department of Mechanical Engineering, Adithya Institute of Technology, Tamil Nadu, India

**Department of Mechanical Engineering, JCT College of Engineering and Technology, Tamil Nadu, India

***School of Mechanical and Electromechanical Engineering, Hawassa University, Hawassa, Ethiopia

Online published on 2 July, 2016.

Abstract

An Adaptive Neuro-Fuzzy Inference System (ANFIS) approach was introduced in this study, to optimize the supercharger effect in performance and emission of a single cylinder diesel engine which uses a fuel blend of biogas and diesel. The input parameters used in the ANFIS model are the fuel blend ratios of Biogas with Diesel and load where as the output parameters are specific fuel consumption (SFC), brake thermal efficiency (BTE), indicated thermal efficiency (ITE), mechanical efficiency (ME), indicated mean effective pressure (IMEP), carbon monoxide (CO) and oxides of nitrogen (NOx). The ANFIS model result is to check the feasibility for predicting the relationships between the input and the output parameters and they were assessed with experimental values. Thus experimental and ANFIS model results show the correlation coefficient of 99.85% for ITE, IMEP and 99.99% for CO, NOx emission.

Keywords

Diesel engine, Biogas, supercharger, ANFIS, Performance, Emission