Process Synthesis of Laser Forming by Genetic Algorithm

نویسندگان

  • J. Gary Cheng
  • Lawrence Yao
چکیده

Significant progress has been made in analyzing and predicting laser forming (LF) processes of sheet metal. Process synthesis in laser forming, on the other hand, is concerned with determination of laser scanning paths and heat condition given a target shape to form. This paper reports the development of a process synthesis methodology for laser forming of a class of shapes based on genetic algorithm (GA). The effects of GA control parameters on the synthesis process are discussed. The effects of fitness function types on achieving multiple objectives are also investigated. The synthesis process is experimentally validated through several cases under diverse conditions including one that involves close to thirty decision variables. # 2004 Elsevier Ltd. All rights reserved.

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تاریخ انتشار 2001