IMPROVING DIMENSIONAL ACCURACY OF PARTS BY PROCESS OPTIMISATION
Keywords:
Modelling, Pareto ANOVA, Taguchi methods, Peripheral end milling, dry turningAbstract
Fulfilment of dimensional accuracy characteristics is predominantly the first requirement for accepting a manufactured part. In spite of this, in the literature there has been little interest on this important topic. This paper highlights the difficulties associated with this problem and proposes practical measures that can be applied by a user of machine tools. Two methods, namely modelling and statistical methods, have been applied for improving dimensional accuracy of parts by process optimisation. In the first part of the paper, modelling of peripheral end milling operation is presented and it is shown that the specified tolerance levels of a prismatic component part can be achieved by the proper selection of cutting parameters and cutting configurations. In the second part of the paper the dry turning process has been optimised by the application of two statistical methods: Pareto ANOVA and Taguchi methods.
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