Disassembly sequence planning based on multifactor constraint degree function
                                                          CHEN Jian, HU Junkang, WANG Jianyong
(Key Lab of Special Purpose Equipment and Advanced Manufacturing Technology, Minister of Education/Zhejiang Province, Zhejiang University of Technology, Hangzhou 310014, China)

Abstract: Aiming at the problems affected several factors in the disassembly sequence planning, the complexity of the part's appearance, the relative position and the constraint relationship between parts, the disassembly tool,etc were studied. The disassembly model was obtained from the constrained state diagram, and the concept of the masstomass ratio and disassembly distance and the calculation formula were proposed. The disassembly tool and disassembly level were uniformly converted into disassembly costs. After the standardization process, the constraint degree function under multiple factors and the corresponding constraint degree matrix were established. On this basis, the particle position velocity evolution rules were discretized, the particle fitness function was established, and the disassembly sequence was generated by the discrete particle swarm algorithm. The example results show that according to the assembly drawing of the product, the proposed method can use a simple and fast constraint matrix and fitness function to obtain the optimal disassembly sequence by the algorithm.
Key words: disassembly sequence planning; constraint state graph; constraint degree; particle swarm optimization