Relevance of Tool Life Testing for Tool Replacement Strategies
Several analytical and simulation models have been proposed in order to select the optimal tool replacement strategies both in single and multi-tool machining operations. All of these models, however, assume as known the probability density function that describes the stochastic behaviour of tool life. The costly efforts required in order to achieve an accurate estimate of the p.d.f. limits the use in the shop practice of the above models.
The aim of the present paper is to set up a methodology for the determination of the number of tests that it is necessary to carry out in order to obtain a suitable estimate of the p.d.f. and of its parameters. An interesting result is that the number of tool life tests is relatively low and this should induce towards the implementation in shop practice of optimal tool replacement strategies.
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