An approach for optimization of turning parameters considering uncertainty parameters

Regenerative chatter in turning can cause serious tool wear or breakage, along with poor surface finish on the machined workpiece. Consequently, it is critical to avoid the occurrence of chatter in turning process. In this paper, dynamic model of regenerative chatter in turning process is established to predict the limited cutting width and derive the stability lobe diagram. This study addresses the influences of uncertain factors on the turning process, and a reliability based optimization model is established to obtain optimal turning parameters. In the optimization model, the maximum material removal rate is taken as the objective function and the reliability of turning stability, surface precision, and cutting power is defined as the constraint function. The sequential optimization and reliability assessment (SORA) is utilized to solve the optimization model. Finally, a discussion of the practical application of this method is presented.

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