摘要
针对拆卸过程中多个因素对其序列规划产生影响的问题,对零部件的基本外形复杂程度、拆卸的相对位置以及零部件间的约束关系、拆卸工具等方面进行了研究,得到了约束状态图拆卸模型,提出了形质比和拆卸距离的概念以及计算公式。将拆卸工具和拆卸级别统一换算成拆卸成本,并将影响因素进行标准化处理,建立了多因素下的约束度函数以及对应的约束度矩阵,在此基础上对粒子位置速度进化规则进行了离散化处理,通过拆卸算子和约束度矩阵建立了粒子的适应度函数,利用离散化粒子群算法生成了适应度最小的拆卸序列。研究结果表明:根据产品的装配图,利用所提方法能简单、快速地得到约束度矩阵和适应度函数,从而通过算法得到最优拆卸序列。
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.
作者
陈建
胡俊康
王建勇
CHEN Jian;HU Jun-kang;WANG Jian-yong(Key Lab of Special Purpose Equipment and Advanced Manufacturing Technology,Minister ofEducation/Zhejiang Province,Zhejiang University of Technology,Hangzhou 310014,China)
出处
《机电工程》
CAS
北大核心
2018年第11期1145-1151,共7页
Journal of Mechanical & Electrical Engineering
基金
国家自然科学基金资助项目(51175473)
浙江省自然科学基金资助项目(LY15E050021)
关键词
拆卸序列规划
约束状态图
约束度
粒子群算法
disassembly sequence planning
constraint state graph
constraint degree
particle swarm optimization
