Abstract
The present work carries out online optimization of a finish turning process using a fuzzy set-based optimization strategy. The strategy does not require a priori machining models. The proposed optimization strategy is expected to be efficient for the problem with a large number of design variables. It also acknowledges the presence of statistical variation in the process. The experimental demonstration of the proposed strategy is presented for finish turning of cold- rolled steel with TiN-coated carbide tool. The basis of tool life is maximum allowable surface roughness. The strategy of reusing the failed tool by modified cutting conditions is also implemented on the shop floor.
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