Linearization is commonly employed in modeling of multi-station manufacturing processes for quality improvement purposes. However, an analysis of the accuracy of the linear models is inevitable before they could be used, because practical manufacturing processes are inherently nonlinear. Such analysis is not straightforward for the high dimensionality of multi-station manufacturing processes and the complicated relationship between process parameters and the process output. This paper presents a nonlinearity analysis method for multi-station assembly processes through an integration of experiment design and data mining. It is found that certain design parameters (e.g., the ratio between locator deviations and the distance between locators) and the number of stations play an important role in the linearization error. Although demonstrated in the specific context of two dimensional multi-station assembly processes, the proposed method can be applied to investigate many characteristics of a broad variety of manufacturing process models.
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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
Nonlinearity Analysis of Multi-Station Assembly Processes
Yuan Ren,
Yuan Ren
Texas A&M University, College Station, TX
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Yu Ding,
Yu Ding
Texas A&M University, College Station, TX
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Shiyu Zhou
Shiyu Zhou
University of Wisconsin at Madison, Madison, WI
Search for other works by this author on:
Yuan Ren
Texas A&M University, College Station, TX
Yu Ding
Texas A&M University, College Station, TX
Shiyu Zhou
University of Wisconsin at Madison, Madison, WI
Paper No:
MSEC2006-21080, pp. 673-682; 10 pages
Published Online:
October 2, 2008
Citation
Ren, Y, Ding, Y, & Zhou, S. "Nonlinearity Analysis of Multi-Station Assembly Processes." 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. 673-682. ASME. https://doi.org/10.1115/MSEC2006-21080
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