Title: A critical review of contribution of evolutionary techniques to machining parameter optimisation

Authors: Uday Shanker Dixit; Faladrum Sharma

Addresses: Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati-781 039, India ' Centre for Indian Knowledge Systems, Indian Institute of Technology Guwahati, Guwahati-781 039, India

Abstract: Optimisation of machining processes has been an active research area for over six decades. In the last three decades, several evolutionary optimisation methods have been utilised. This paper offers a brief history of optimisation in machining followed by a detailed discussion on the application of evolutionary optimisation methods. The focus is narrowed down to traditional machining processes, where a wedge shaped material removes the material in the form of chips. The paper highlights the challenges in choosing a suitable algorithm, given the empirical nature of available comparative studies lacking a solid mathematical basis. Further research is needed to understand the similarities and contrasts among evolutionary optimisation methods. It is also prudent to focus on the proper modelling of the processes (preferably with the help of big data), integrating the machine tools with proper sensors and developing strategies for online optimisation.

Keywords: evolutionary optimisation; machining; soft computing; nonlinear programming; genetic algorithm; PSO; particle swarm optimisation.

DOI: 10.1504/IJMMS.2024.144272

International Journal of Mechatronics and Manufacturing Systems, 2024 Vol.17 No.4, pp.411 - 448

Received: 29 Apr 2024
Accepted: 06 Jul 2024
Published online: 04 Feb 2025 *

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