A genetic algorithm based approach is presented for process optimal design in forging. In this approach, the optimal design problem is formulated on the basis of the integrated thermo-mechanical finite element process model so as to cover diverse design variables and objective functions, and a genetic algorithm is adopted for conducting design iteration for optimization. The process model, the formulation for process optimal design, and the genetic algorithm are described in detail. The approach is applied to several selected process design problems in cold and hot forging.
Process Optimal Design in Forging by Genetic Algorithm
Contributed by the Manufacturing Engineering Division for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. Manuscript received March 1998; revised Dec. 2000. Associate Editor: R. Smelser.
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Chung, J. S., and Hwang, S. M. (April 29, 2002). "Process Optimal Design in Forging by Genetic Algorithm ." ASME. J. Manuf. Sci. Eng. May 2002; 124(2): 397–408. https://doi.org/10.1115/1.1406954
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