Original scientific paper

Intelligent Process Planning for Competitive Engineering

Valentina GEČEVSKA ; Faculty of Mechanical Engineering, University Ss.Cyril and Methodius, Skopje, Macedonia
Franc ČUŠ ; Faculty of Mechanical Engineering, University of Maribor, Slovenia

Abstract

Process planning is one of the key activities for product design and
manufacturing. The impact of process plans on all phases of product design and
manufacture requires high level of interaction of different activities and close
integration of them into a coherent system. This paper presents a process model
of product development with manufacturing approach based on intelligent
process planning techniques with focus on optimal selection of manufacturing
parameters. Some derivations of the computing model for analysis of machining
conditions by optimal determination of the cutting parameters in multi-pass
NC machining activities are made with implementation of new evolutionary
computation techniques. Genetic Algorithm (GA) based optimization
method and deterministic optimization method (DO) are developed and
then implementations into real manufacturing process planning for new
product developed are analyzed. The results showed that both the developed
optimization methods (GA and DO), especially GA, are effective methods
for solving multi-objective optimization problems during the manufacturing
process planning and cutting parameters selection.

Keywords

Genetic algorithms; Intelligent manufacturing systems; Process planning

Hrčak ID:

56725

URI

https://hrcak.srce.hr/56725

Publication date:

26.2.2010.

Article data in other languages: croatian

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