0
research-article

A comparative study of Artificial Intelligence based models to predict performance and emission characteristics of a single cylinder Diesel engine fueled with Diesosenol.

[+] Author and Article Information
Subrata Bhowmik

Department of Mechanical Engineering, IIT (ISM) Dhanbad, Jharkhand 826004, India
sbhowmik47@gmail.com

Rajsekhar Panua

Department of Mechanical Engineering, NIT Agartala, Tripura 799046, India
rajsekhar_panua@yahoo.co.in

Subrata Kumar Ghosh

Department of Mechanical Engineering, IIT (ISM) Dhanbad, Jharkhand 826004, India
subratarec@yahoo.co.in

Durbadal Debroy

Department of Mechanical Engineering, NIT Agartala, Tripura 799046, India
dd_shyam2007@yahoo.co.in

Abhishek Paul

Department of Mechanical Engineering, NIT Agartala, Tripura 799046, India
v1.abhishek@gmail.com

1Corresponding author.

ASME doi:10.1115/1.4038709 History: Received August 24, 2017; Revised October 11, 2017

Abstract

This study investigates the potential of oxygenated additive (Ethanol) on adulterated Diesel fuel on the performance and exhaust emission characteristics of a single cylinder Diesel engine. Based on the engine experimental data, two Artificial Intelligence (AI) models viz. Artificial Neural Network (ANN) and Adaptive-Neuro Fuzzy Inference System (ANFIS) have been modeled for predicting brake thermal efficiency (Bth), brake specific energy consumption (BSEC), oxides of nitrogen (NOX), unburnt hydrocarbon (UBHC) and carbon monoxide (CO) with Engine load (%),Kerosene (vol%) and Ethanol (vol%) as input parameters. Both the proposed AI models have the capacity for predicting input-output paradigms of Diesel-kerosene-ethanol (Diesosenol) blends with high accuracy. A (3-9-5) topology with Levenberg-Marquardt feed forward back propagation (trainlm) learning algorithm has been observed to be the ideal model for ANN. The comparative study of the two AI models demonstrated ANFIS predicted results have higher accuracy than the ANN with a maximum RANFIS/RANN value of 1.000534.

Copyright (c) 2017 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In