混凝土泵车分动箱拆解序列规划
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摘要
为提高拆解效率,提出了基于遗传模拟退火算法的混凝土泵车分动箱拆解序列规划方法。首先分析了混凝土泵车分动箱的装配关系,运用联接图,构建了混凝土泵车分动箱拆解模型,并进行了简化,得到了联接矩阵。然后,研究了混凝土泵车分动箱拆解约束关系,生成了拆解优先约束矩阵,进而构建了评价指标与适应度函数。最后,基于遗传模拟退火算法对混凝土泵车分动箱拆解序列进行优化,获得最优的拆解序列。这为混凝土泵车分动箱的高效拆解提供了一种新的途径。
In order to improve the efficiency of disassembly,the disassembly sequence planning method for transfer case of concrete pump is proposed based on genetic simulated annealing algorithm. Firstly,the assembly relationship of transfer case is analyzed. The disassembly model of transfer case and coupling matrix are obtained with connection diagram. Then,the disassembly constraint relations of transfer case are discussed. The disassembly priority constraint matrix is generated. The evaluation index and fitness function are built. Finally,the disassembly sequence of transfer case is optimized based on genetic simulated annealing algorithm,so the optimal disassembly sequence is achieved. The results provide a new way for efficient disassembling the of concrete pump transfer case.
In order to improve the efficiency of disassembly,the disassembly sequence planning method for transfer case of concrete pump is proposed based on genetic simulated annealing algorithm. Firstly,the assembly relationship of transfer case is analyzed. The disassembly model of transfer case and coupling matrix are obtained with connection diagram. Then,the disassembly constraint relations of transfer case are discussed. The disassembly priority constraint matrix is generated. The evaluation index and fitness function are built. Finally,the disassembly sequence of transfer case is optimized based on genetic simulated annealing algorithm,so the optimal disassembly sequence is achieved. The results provide a new way for efficient disassembling the of concrete pump transfer case.
引文
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[12]张秀芬,张树有.基于粒子群算法的产品拆解序列规划方法[J].计算机集成制造系统,2009,15(3):508~514.
[2]和延立,李原,杨海威.用遗传算法实现产品回收中的拆卸序列规划[J].机械设计与制造,2002,(3):72~74.
[3]Gupta S M,Mcgovern S M.Multi-Objective optimization in disassembly sequencing Problems[C]//Proceedings of the 2004POMS-Cancun meeting.Cancun,Mexico,2004.
[4]Garcima,Larre,Lopez B,et al.Reducing the complexity of geometric selective disassembly[C]//Proceedings of the 2000 IEEE/RSJ International conference on intelligent Robots and System,Taksmstsu,Japan,2000.
[5]Moore K E,Gungor A,Gupta S M.Petri Net approach to disassembly process planning for productswith complex AND/OR precedence relationships[J].European Journal of Operational Research,2001,135(2):428~429.
[6]Lu C,Huang H Z,Fuh J Y H,et al.A multi-objective disassembly planning approach with any colony optimization algorithm[J].Proceedings of the Institution of Mechanical Engineers,PartB:Journal of Engineering Manufacture,2008,222(11):1465~1474.
[7]高建刚,段广洪,汪劲松.机电产品拆卸序列生成研究[J].机械设计与研究,2003,19(1):11~13.
[8]王俊峰,李世其,刘继红.面向绿色制造的产品选择拆卸技术研究[J].计算机集成制造系统,2007,13(6):1097~1102.
[9]王辉,向东,段广洪.基于蚁群算法的产品拆卸序列划研究[J].计算机集成制造系统,2006,12(9):1431~1437.
[10]黄保群.基于遗传算法的飞机维修拆卸/装配序列规划研究[J].飞机设计,2007,27(3):18~22.
[11]吴昊,左洪福.基于改进遗传算法的选择性拆卸序列规划[J].航空学报,2009,5(12):235~241.
[12]张秀芬,张树有.基于粒子群算法的产品拆解序列规划方法[J].计算机集成制造系统,2009,15(3):508~514.