Disassembyosis: Configuration Redesign for End-of-Life Disassembly Using an Evolving Symbiotic System
Disassembly facilitates the application of material and part recycling processes on product artifacts at the end of their useful lives. the artifact configuration greatly affects the disassembly efficiency. However, due to its complex nature, identifying the redesign modifications to improve the disassemblability of the configuration poses a major obstacle. a bottom-up approach using evolutionary computation principles is proposed to address this problem. an analogy to symbiotically related organisms is used, where one organism generates variant configurations and the other evaluates them by determining their associated disassembly sequences. These organisms evolve to obtain configurations that have superior disassembly efficiencies as compared to the original design. the efficiency measure used is obtained from the Configuration-Value model that we developed in an earlier work. an example is used to demonstrate the efficacy of the proposed method.
S. Viswanathan and V. Allada, "Disassembyosis: Configuration Redesign for End-of-Life Disassembly Using an Evolving Symbiotic System," Proceedings of the 1999 Artificial Neural Networks in Engineering Conference, ANNIE'99, American Society of Mechanical Engineers (ASME), Jan 1999.
1999 Artificial Neural Networks in Engineering Conference, ANNIE'99
Engineering Management and Systems Engineering
National Science Foundation (U.S.)
Keywords and Phrases
Artificial Intelligence; Neural Networks
Article - Conference proceedings
© 1999 American Society of Mechanical Engineers (ASME), All rights reserved.
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