We have developed a decomposition-based rapid redesign methodology for large, complex computational redesign problems. While the overall methodology consists of two general steps: diagnosis and repair, this paper focuses on the repair step in which decomposition patterns are utilized for redesign planning. Resulting from design diagnosis, a typical decomposition pattern solution to a given redesign problem indicates the portions of the design model necessary for re-computation as well as the interaction part within the model accountable for design change propagation. Following this, this paper suggests repair actions with an approach derived from an input pattern solution, to generate a redesign roadmap allowing for taking a shortcut in the redesign solution process while scheduling re-computing tasks. To do so, a complete collection of re-computation strategies able to handle all possible decomposition patterns for any given redesign problem is introduced, and a two-stage redesign planning approach from re-computation strategy selection to redesign roadmap generation is proposed. An example problem concerning the redesign of a relief valve is used for illustration and validation.
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ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
September 24–28, 2005
Long Beach, California, USA
Conference Sponsors:
- Design Engineering Division and Computers and Information in Engineering Division
ISBN:
0-7918-4739-X
PROCEEDINGS PAPER
Towards Rapid Redesign: Pattern-Based Redesign Planning for Large-Scale and Complex Redesign Problems
Li Chen
United Technologies Research Center, East Hartford, CT
Simon Li
University of Toronto, Toronto, ON, Canada
Paper No:
DETC2005-84890, pp. 989-998; 10 pages
Published Online:
June 11, 2008
Citation
Chen, L, & Li, S. "Towards Rapid Redesign: Pattern-Based Redesign Planning for Large-Scale and Complex Redesign Problems." Proceedings of the ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2: 31st Design Automation Conference, Parts A and B. Long Beach, California, USA. September 24–28, 2005. pp. 989-998. ASME. https://doi.org/10.1115/DETC2005-84890
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