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Process yield improvement through optimum design of fixture layouts in 3D multistation assembly systems
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Phoomboplab, T. and Ceglarek, Darek (2008) Process yield improvement through optimum design of fixture layouts in 3D multistation assembly systems. Journal of Manufacturing Science and Engineering, Vol.130 (No.6). doi:10.1115/1.2977826 ISSN 1087-1357.
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Official URL: http://dx.doi.org/10.1115/1.2977826
Abstract
Fixtures control the positions and orientations of parts in an assembly process. Inaccuracies of fixture locators or nonoptimal fixture layouts can result in the deviation of a workpiece from its design nominal and lead to overall product dimensional variability and low process yield. Major challenges involving the design of a set of fixture layouts for multistation assembly system can be enumerated into three categories: (1) high-dimensional design space since a large number of locators are involved in the multistation system, (2) large and complex design space for each locator since the design space represents the area of a particular part or subassembly surfaces on which a locator is placed, (here, the design space varies with a particular part design and is further expanded when parts are assembled into subassemblies), and (3) the nonlinear relations between locator nominal positions and key product characteristics. This paper presents a new approach to improve process yield by determining an optimum set of fixture layouts for a given multistation assembly system, which can satisfy (1) the part and subassembly locating stability in each fixture layout and (2) the fixture system robustness against environmental noises in order to minimize product dimensional variability. The proposed methodology is based on a two-step optimization which involves the integration of genetic algorithm and Hammersley sequence sampling. First, genetic algorithm is used for design space reduction by estimating the areas of optimal fixture locations in initial design spaces. Then, Hammersley sequence sampling uniformly samples the candidate sets of fixture layouts from those predetermined areas for the optimum. The process yield and part instability index are design objectives in evaluating candidate sets of fixture layouts. An industrial case study illustrates and validates the proposed methodology.
| Item Type: | Journal Article | ||||
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| Subjects: | Q Science > QA Mathematics T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||
| Library of Congress Subject Headings (LCSH): | Engineering design, Genetic algorithms, Jigs and fixtures, Assembling machines -- Design and construction | ||||
| Journal or Publication Title: | Journal of Manufacturing Science and Engineering | ||||
| Publisher: | A S M E International | ||||
| ISSN: | 1087-1357 | ||||
| Official Date: | December 2008 | ||||
| Dates: |
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| Volume: | Vol.130 | ||||
| Number: | No.6 | ||||
| Number of Pages: | 17 | ||||
| DOI: | 10.1115/1.2977826 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Title of Event: | ASME International Conference on Manufacturing Science and Engineering | ||||
| Type of Event: | Conference | ||||
| Location of Event: | Atlanta, GA | ||||
| Date(s) of Event: | Oct 15-18, 2007 |
Data sourced from Thomson Reuters' Web of Knowledge
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