Abstract
The intervention of human expert to best select proper machining parameters can be reduced by automatic process planning. This includes such tedious work and sufficient knowledge one has to distinguish in choosing various options of cutting tools from the manufacturer’s catalogue. In this work, cutting tool selections of turning machining workpiece by optimizing machining parameters were done. Turning machining features were automatically recognized by volume decomposition method and sub-delta volumes (SDV) were generated. Geometrical data extracted from SDV were then utilized in getting optimum machining parameters by using the firefly algorithm (FA). Machining parameters including cutting speed (CS), feed rate (f) and depth of cut (d) were optimized within an objective function of minimizing unit production cost (UPC). A relevant algorithm embedded with FA is proposed to execute the computer-aided process planning (CAPP) system. The feasibility of the approach and the developed algorithm was verified through an illustrative case study of an industrial part model.
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