Journal
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
Volume 44, Issue 12-13, Pages 1403-1412Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ijmachtools.2004.02.001
Keywords
genetic algorithms; machining parameters; local search techniques; non-linear optimisation cost
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This paper proposes an optimisation technique based on genetic algorithms for the determination of the cutting parameters in multi-pass machining operations by simultaneously considering multi-pass roughing and single-pass finishing operations. The optimum machining parameters are determined by minimising the unit production cost of converting a cylindrical bar stock into a continuous finished profile involving seven machining operations; with each operation subject to many practical constraints. The cutting model developed for each machining operation is a non-linear, constrained problem. Experimental results show that the proposed technique is both effective and efficient. (C) 2004 Elsevier Ltd. All rights reserved.
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