Document Type dissertation Author Name Kang, Yuezhuang Email Address yzkang at yahoo.com URN etd-0108102-163543 Title Computer-Aided Fixture Design Verification Degree PhD Department Manufacturing Engineering Advisors Yiming (Kevin) Rong, Advisor Christopher A. Brown, Department Head Richard D. Sisson, Committee Member Joseph J. Rencis, Committee Member Mustapha S Fofana, Committee Member Juhchin Yang, Sponsoring Organization Rep Keywords Fixture Stiffness Matrix Jacobian Matrix kinetic model geometric model fixture design verification stability analysis tolerance analysis tolearnce assignment Date of Presentation/Defense 2001-12-07 Availability unrestricted Abstract
This study presents Computer-Aided Fixture Design Verification (CAFDV) – the methods and implementations to define, measure and optimize the quality of fixture designs. CAFDV verifies a fixture for its locating performance, machining surface accuracy, stability, and surface accessibility. CAFDV also optimizes a fixture for its locator layout design, initial clamping forces, and tolerance specification.
The demand for CAFDV came from both fixture design engineers and today’s supply chain managers. They need such a tool to inform them the quality of a fixture design, and to find potential problems before it is actually manufactured. For supply chain managers, they will also be able to quantitatively measure and control the product quality from vendors, with even little fixture design knowledge.
CAFDV uses two models – one geometric and one kinetic – to represent, verify and optimize fixture designs. The geometric model uses the Jacobian Matrix to establish the relationship between workpiece-fixture displacements, and the kinetic model uses the Fixture Stiffness Matrix to link external forces with fixture deformation and workpiece displacement.
Computer software for CAFDV has also been developed and integrated with CAD package I-DEASä. CAD integration and a friendly graphic user interface allows the user to have easy interactions with 3D models and visual feedback from analysis results.
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