Achieving the dimensional integrity for a complex structural assembly is a demanding task due to the manufacturing variations of parts and the tolerance relationship between them. While assigning tight tolerances to all parts would solve the problem, an economical solution is taking advantage of small motions that joints allow, such that critical dimensions are adjusted during assembly processes. This paper presents a systematic method that decomposes product geometry at an early stage of design, selects joint types, and generates subassembly partitioning to achieve the adjustment of the critical dimensions during assembly processes. A genetic algorithm (GA) generates candidate assemblies based on a joint library specific for an application domain. Each candidate assembly is evaluated by an internal optimization routine that computes the subassembly partitioning for optimal in-process adjustability, by solving an equivalent minimum cut problem on weighted graphs. A case study on a 3D automotive space frame with the accompanying joint library is presented.
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ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
September 2–6, 2003
Chicago, Illinois, USA
Conference Sponsors:
- Design Engineering Division and Computers and Information in Engineering Division
ISBN:
0-7918-3700-9
PROCEEDINGS PAPER
Assembly Synthesis With Subassembly Partitioning for Optimal In-Process Dimensional Adjustability
Byungwoo Lee,
Byungwoo Lee
University of Michigan, Ann Arbor, MI
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Kazuhiro Saitou
Kazuhiro Saitou
University of Michigan, Ann Arbor, MI
Search for other works by this author on:
Byungwoo Lee
University of Michigan, Ann Arbor, MI
Kazuhiro Saitou
University of Michigan, Ann Arbor, MI
Paper No:
DETC2003/DAC-48729, pp. 257-268; 12 pages
Published Online:
June 23, 2008
Citation
Lee, B, & Saitou, K. "Assembly Synthesis With Subassembly Partitioning for Optimal In-Process Dimensional Adjustability." Proceedings of the ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2: 29th Design Automation Conference, Parts A and B. Chicago, Illinois, USA. September 2–6, 2003. pp. 257-268. ASME. https://doi.org/10.1115/DETC2003/DAC-48729
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