Paper
11 November 2004 Representation requirements for supporting intelligent fixture design retrieval and reuse
Author Affiliations +
Proceedings Volume 5605, Intelligent Systems in Design and Manufacturing V; (2004) https://doi.org/10.1117/12.572335
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States
Abstract
Holding the work piece for machining, forming, assembly, or inspection operations is a universally encountered problem in the manufacturing world. The apparatus used to accomplish this is a fixture. Using efficient fixtures is a good way of improving the throughputs of the processes by reducing the part setup time, which can be defined as locating the part in the desired position in a safe way to allow machining. Identification of design requirements, fixture analysis and fixture synthesis can be named as the phases of computer aided fixture design. Typical fixture design systems focus on one of these phases, as the knowledge representation requirements differ for each stage. This paper discusses these phases with respect to the general manufacturing scheme and identifies the issues on integration in order to have a successful variant approach to the fixture selection problem. A system architecture is discussed that is based upon the new graph-based integrated fixture representation. This system architecture should facilitate the rapid exploration of existing fixtures and fixture assemblies to find suitable matches for new part manufacture.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sertac Pehlivan, Joshua D. Summers, and Yong Huang "Representation requirements for supporting intelligent fixture design retrieval and reuse", Proc. SPIE 5605, Intelligent Systems in Design and Manufacturing V, (11 November 2004); https://doi.org/10.1117/12.572335
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Manufacturing

Computer aided design

Surface finishing

Chemical elements

Tolerancing

Design for manufacturability

Feature extraction

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