A genetic algorithm to process-oriented optimization of joint configuration based on a skeleton model

作者：Jiangqi Zhou^*; Guanlong Chen; Xinmin Lai; Zhongqin Lin

来源：International Journal of Advanced Manufacturing Technology, 2007, 32(11-12): 1245-1252.

DOI：10.1007/s00170-006-0426-5

• assembly sequence
• genetic algorithm
• joint configuration optimization
• sheet panel assembly
• tolerance analysis

Genetic algorithm has been applied to the problem of determining optimal joint solution of sheet panel assembly in the early design stage. The optimum sought is that for which an assembly of the components shows least variability, as measured by one or more relevant parameters (e.g., a key dimension) for a fixed set of tolerances. A skeleton representation of sheet panel assembly is proposed in order to provide basic support for the algorithm. Genetic coding and operators for the joint selection problem are developed with examination of the algorithm performance. The aim of the method is demonstrated by an example of a multiple parts assembly.

• 出版日期2007-5
• 单位上海交通大学