Optimisation of work roll grinding using Response Surface Methodology and evolutionary algorithm
by N. Mohanasundararaju, R. Sivasubramanian, N. Alagumurthi
International Journal of Manufacturing Research (IJMR), Vol. 3, No. 2, 2008

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).

Online publication date: Thu, 06-Mar-2008

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