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Title: Application of the Taguchi based entropy weighted TOPSIS method for optimisation of diesel engine performance and emission parameters

Authors: Mohd Muqeem; Ahmad F. Sherwani; Mukhtar Ahmad; Zahid A. Khan

Addresses: Faculty of Engineering and Technology, Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, 110025, India ' Faculty of Engineering and Technology, Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, 110025, India ' Faculty of Engineering and Technology, Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, 110025, India ' Faculty of Engineering and Technology, Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, 110025, India

Abstract: Diesel engines convert chemical energy into mechanical energy generally with low efficiency. However, if these engines are operated at optimum levels of input parameters, they can produce power more efficiently with minimum harmful exhaust emissions. The current research work is carried out with an aim to determine these optimum levels of the input parameters. Four input parameters were selected and their optimum combinations were determined using Taguchi based technique for order of preference by similarity to ideal solution (TOPSIS) coupled with Entropy Weight method. Taguchi's L25 orthogonal array was adopted to perform the experiments. All the test runs were carried out in random manner with three replicates of each to improve the accuracy of the experiments. The preference values (relative closeness of the distinct alternative to the positive ideal solution) predicted by Taguchi method and the values obtained by regression analysis, at optimum input parameter settings were compared and a good relationship was found between them.

Keywords: brake thermal efficiency; brake specific fuel consumption; exhaust emission; TOPSIS; technique for order of preference by similarity to ideal solution; entropy weight and taguchi approach.

DOI: 10.1504/IJHVS.2019.097111

International Journal of Heavy Vehicle Systems, 2019 Vol.26 No.1, pp.69 - 94

Received: 03 Jul 2017
Accepted: 29 Aug 2017

Published online: 20 Dec 2018 *

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