Fuzzing modelling of a single point lathe cutting tool

摘要

A few modern industrial materials are of serious concern to the home model engineer turning with a light lathe machine. Virtually all turning is done using either carbon steel, high speed steel or tungsten carbide tipped tooling. This is mainly due to the fact that the newer and more exotic materials such as ceramic and diamond require high speed and rigid industrial machinery to operate correctly. The benefits of the new materials are more associated with optimising production and extending tool life than improving the surface finish. In this paper, a new intelligent based methodology employing fuzzy soft computing technique is proposed for improving the surface of a product during machining operation with a light lathe. Data was extracted experimentally from the existing turning tools and an improved geometry of the turning tool was modelled from this data. The studies have shown that intelligent based approaches can provide efficient and cost effective ways of optimising the performance of a lathe cutting tool with respect to the surface finish.