Title: A multi-objective genetic algorithm for design optimisation of simple and double harmonic motion cams

Authors: R.K. Jana; Prasun Bhattacharjee

Addresses: Indian Institute of Management Raipur, GEC Campus, Sejbahar, CG 492015, India ' Department of Mechanical Engineering, Jadavpur Univrsity, Kolkata, WB 700032, India

Abstract: In this paper, a multi-objective genetic algorithm is developed to solve the design optimisation problem for cam-follower mechanism with simple and double harmonic profiles. Torque and jerk are two most important objectives decisive to be optimised for a successful cam follower system plan. The proposed approach offers a set of non-dominated solutions for design variables like angle of rotation, maximum lift of the follower and the angle for maximum lift for rational operation. The problem is also solved by MATLAB multi-objective genetic algorithm toolbox. The solutions obtained by the proposed approach are found to be beneficial over the MATLAB solutions.

Keywords: cam-follower; design optimisation; multi-objective optimisation; genetic algorithm; Pareto optimality.

DOI: 10.1504/IJDE.2017.089639

International Journal of Design Engineering, 2017 Vol.7 No.2, pp.77 - 91

Accepted: 21 May 2017
Published online: 23 Jan 2018 *

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