Multiple-objective optimisation of machining operations based on neural networks

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

43 Scopus Citations
View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)235-243
Journal / PublicationThe International Journal of Advanced Manufacturing Technology
Volume8
Issue number4
Publication statusPublished - Jul 1993
Externally publishedYes

Abstract

Metal cutting plays an important role in manufacturing industries. Optimisation of cutting parameters represents a key component in machining process planning. In this paper, a neural network based approach to multiple-objective optimization of cutting parameters is presented. First, the problem of determining the optimum machining parameters is formulated as a multiple-objective optimization problem. Then, neural networks are proposed to represent manufacturers' preference structures. To demonstrate the procedure and performance of the neural network approach, an illustrative example is discussed in detail.

Research Area(s)

  • Cutting parameter optimisation, Machining operations, Metal cutting, Neural networks