Title: Optimisation of work roll grinding using Response Surface Methodology and evolutionary algorithm

Authors: N. Mohanasundararaju, R. Sivasubramanian, N. Alagumurthi

Addresses: Department of Mechanical Engineering, Sona College of Technology, Salem 636005, India. ' Department of Mechanical Engineering, Coimbatore Institute of Technology, Coimbatore 641014, India. ' Department of Mechanical Engineering, Pondicherry Engineering College, Pondicherry 605014, India

Abstract: Process modelling and optimisation are two important issues in manufacturing. The prediction of optimal grinding conditions for desired surface finish and dimensional accuracy plays a vital role in process planning. This work deals with the study and development of a surface roughness prediction model for grinding of work rolls made of D2 steel using Response Surface Methodology (RSM). The experimentation was carried out in a work roll traverse grinding machine with six grinding parameters such as wheel speed, work speed, traverse speed, in feed, dress depth and dressing lead using Box-Behenken design matrix with six central points. A second-order mathematical model, in terms of machining parameters, was developed for surface prediction using RSM. The computer-aided single-objective optimisation was solved by two approaches, namely non-linear programming and Genetic Algorithm (GA).

Keywords: work roll grinding; surface roughness; response surface methodology; RSM; optimisation; nonlinear programming; genetic algorithms; GAs; process modelling.

DOI: 10.1504/IJMR.2008.017418

International Journal of Manufacturing Research, 2008 Vol.3 No.2, pp.236 - 251

Published online: 06 Mar 2008 *

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