Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Product modeling framework for behavioral performance evaluation at design stage
Computers in Industry
Maintainability and safety indicators at design stage for mechanical products
Computers in Industry
An enhanced haptic assembly simulation system for the efficiency of assembly tasks
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
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This paper presents a prototype object-oriented intelligent disassembly sequence planner for maintenance. A novel disassembly representation scheme known as disassembly constraint graph (DCG) has been proposed and implemented as a prototype system in this work. Using the DCG, all the possible disassembly operations that are needed for the maintenance of certain components or subassemblies can be deduced. Subsequently, a sequence-based optimisation technique, genetic algorithms, is employed to generate near optimal disassembly sequence from all the feasible combination of these disassembly operations. Based on the DCG, an object-oriented intelligent disassembly sequence planner for maintenance has been developed. The prototype system comprises three modules each having a set of objects. Users are able to view the entire disassembly process in accordance to the near optimal sequence generated by the planner via a graphical user interface. Two case studies, which are used to illustrate the effectiveness of the planner, are presented.