Abstract
A recently-proposed probability model for cutting tool lifetimes based on tool wear curves is presented. Optimal tool replacement strategies and cutting conditions are calculated using this wear-based model. The model’s use of wear curves permits extrapolation of cost calculations to cutting conditions for which little statistical data has been collected, assuming data is available for other cutting conditions which have the same failure mechanism. This is particularly important during process design changes, when data is expensive to obtain or limited in quantity. Analysis indicates that an important factor in tool replacement is run-in wear.
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