Optimization of machining parameters during the steel work-pieces turning
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 12
Abstract
One of the mostly used processes in the manufacturing machine parts, is turning process. The parameters of this process have different effects on the machining capabilities. So one of the problems associated with this process is the optimal choice of parameters to achieve the most optimal machining capabilities. In traditional machining, machining parameters are determined based on the data included in the Handbook, person or programmer’s experience, and implemented changes during machining such as tool wear or changes in work piece dimensions have no effect on these parameters. This reduces the effectivity of the machining process. The aim of this study is to simulate an intelligent system to evaluate the optimal machining parameters. In this research using experimental design method the effect of main input data of machining process such as cutting speed, depth of cut, feed rate and tool tip radius on the surface roughness changes have been studied. First, based on the data obtained data from empirical experiments in machining the fitness function has designed and modelled, then using genetic algorithms technique, the optimization variables of machining for improving work-piece surface finish were determined.
Authors and Affiliations
R. Karimdadashi, M. A. Mohtadi-bonab
Keywords
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