Paper
9 February 2001 Optimum disassembly sequence generation
Author Affiliations +
Proceedings Volume 4193, Environmentally Conscious Manufacturing; (2001) https://doi.org/10.1117/12.417249
Event: Intelligent Systems and Smart Manufacturing, 2000, Boston, MA, United States
Abstract
Optimal disassembly sequences can be obtained on the basis of linear and mixed-integer programming methods. These are applied to models that are based on disassembly graphs. These graphs represent the possible subassemblies and the transitions (actions) between them. They represent the structure of the assembly in a more abstract manner than assembly drawings do. The translation from assembly drawings into graphs presupposes the selection of the feasible subassemblies and actions. In this contribution a method is discussed that supports the automatic determination of all possible subassemblies, starting from the assembly structure such as represented by drawings etc. It uses the connection diagram and a set of Boolean expressions that represent precedence relations. These are based on part removal in stead of on the disconnection of liaisons. Consequently, actions are transitions between subassemblies. Based on this method, feasible subassemblies and actions can be selected automatically. These represent the full set of data for the establishment of a disassembly graph. The method is demonstrated by the discussion of a number of assemblies that are taken from the literature. It appears that automatic selection of subassemblies is possible. Based on this selection, the set of actions can be defined and the disassembly graph can be established automatically.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fred J.D. Lambert "Optimum disassembly sequence generation", Proc. SPIE 4193, Environmentally Conscious Manufacturing, (9 February 2001); https://doi.org/10.1117/12.417249
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Cited by 14 scholarly publications.
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KEYWORDS
Chemical elements

Computer programming

Manufacturing

Modeling

Product engineering

Silver

Contamination

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