Dimensional variation in assembled products directly affects product performance. To reduce dimensional variation it is necessary that an assembly be robust. A robust assembly is less sensitive to input variation from the product and process components such as incoming parts, subassemblies, fixtures and welding guns. In order to effectively understand the sensitivity of an assembly to input variation, an appropriate set of metrics must be defined. In this paper, three product oriented indices including pattern sensitivity index, component sensitivity index and station sensitivity index are defined. These indices can be utilized to measure the variation influence of a pattern, an individual part and/or component, and components at a particular station to the dimensional quality of a final assembly. Additionally, the relationships among these sensitivity indices are established. Based on these relationships, the ranges of the sensitivity indices are derived. Finally, a case study of a sheet metal assembly is presented and discussed to illustrate the applicability of these metrics.
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ASME 2006 International Manufacturing Science and Engineering Conference
October 8–11, 2006
Ypsilanti, Michigan, USA
Conference Sponsors:
- Manufacturing Engineering Division
ISBN:
0-7918-4762-4
PROCEEDINGS PAPER
Product Oriented Sensitivity Analysis for Multi-Station Compliant Assemblies
Jianpeng Yue,
Jianpeng Yue
University of Michigan, Ann Arbor, MI
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Jaime A. Camelio,
Jaime A. Camelio
Michigan Technological University, Houghton, MI
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Melida Chin
Melida Chin
University of Michigan, Ann Arbor, MI
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Jianpeng Yue
University of Michigan, Ann Arbor, MI
Jaime A. Camelio
Michigan Technological University, Houghton, MI
Melida Chin
University of Michigan, Ann Arbor, MI
Paper No:
MSEC2006-21077, pp. 635-647; 13 pages
Published Online:
October 2, 2008
Citation
Yue, J, Camelio, JA, & Chin, M. "Product Oriented Sensitivity Analysis for Multi-Station Compliant Assemblies." Proceedings of the ASME 2006 International Manufacturing Science and Engineering Conference. Manufacturing Science and Engineering, Parts A and B. Ypsilanti, Michigan, USA. October 8–11, 2006. pp. 635-647. ASME. https://doi.org/10.1115/MSEC2006-21077
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