Fixture Fault Diagnosis in Multistation Assembly of Sheet Metal

Ling Hua Zhou; Xiang Hong Xu; De Zhong Yu

doi:10.4028/www.scientific.net/AMM.635-637.1841

Paper Titles

Agricultural Machinery Spare Parts Demand Forecast Based on BP Neural Network
p.1822

Analysis for Assembly Dimension Chain of RV Reducer
p.1826

Analysis of Spare Model in Equipment System Based on Probability of Spares Sufficiency
p.1830

Evaluation Model for Heavy Machine Tool Remanufacturing Scheme Based on ANP
p.1836

Fixture Fault Diagnosis in Multistation Assembly of Sheet Metal
p.1841

Framework of Order Planning and Scheduling System for MTO Enterprise
p.1847

Health Assessment of Ecosystem in Manufacturing Enterprise Life Cycle Oriented
p.1852

Manufacture of Flexible Automatic Assembly Platform for Aircraft Component Level
p.1857

Multi-Hierarchy Relevance Model of Cloud Manufacturing Resource Based on OWL
p.1861

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 635-637Fixture Fault Diagnosis in Multistation Assembly...

Fixture Fault Diagnosis in Multistation Assembly of Sheet Metal

Abstract:

This paper presents a methodology for diagnostics of fixture failures in multistation assembly processes. Diagnosis matrix equation is established by state space equation and measurement equation, which study the conditions of deviation source diagnosis. The determination method of deviation source diagnosis is obtained. 3-D scanner is used to measure the key data. A case study illustrates the proposed method.

You might also be interested in these eBooks

Advanced Design and Manufacturing Technology IV

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 635-637)

Pages:

1841-1846

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.635-637.1841

Citation:

Cite this paper

Online since:

September 2014

Authors:

Ling Hua Zhou*, Xiang Hong Xu, De Zhong Yu

Keywords:

Diagnosis, Multistation Assembly, Sheet Metal

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Ding, Y., Ceglarek D. and Shi, J. Fault diagnosis of multi-station manufacturing processes by using state space approach [J], ASME Journal of Manufacturing Science and Engineering, 2002, 124 (2): 313-322.

DOI: 10.1115/1.1445155

Google Scholar

[2] CEGLAREK D, SHI J. Dimensional variation reduction for automotive body assembly[J]. Journal of Mancufacturing Revi- iew, 1995, 8: 139-154.

Google Scholar

[3] CEGLAREK D, SHI J, WU S M. A knowledge-based diagnosis approach for the launch of the auto-body assembly process[J]. ASME Journal of Engineering for Industry, 1994, 116: 491-499.

DOI: 10.1115/1.2902133

Google Scholar

[4] Apley, D. W. and Shi J. Diagnosis of multiple fixture faults in panel assembly [J], ASME Journal of Manufacturing Science and Engineering, 1998, 120 (4): 793-801.

DOI: 10.1115/1.2830222

Google Scholar

[5] Hu, S. J., Wu, S. W. Identifying root cause of variation in automobile body assembly using principal component analysis [J], Transactions of NAMRI, 1992, 20: 311-316.

Google Scholar

[6] Liu, Y. and Hu, S.J. Assembly fixture fault diagnosis using designated component analysis [J]. Journal of Manufacturing Science and Engineering, 2005, 127(2): 358-368.

DOI: 10.1115/1.1852572

Google Scholar

[7] Jin, J., and Shi, J., 1999, 'State Space Modeling of Sheet Metal Assembly for Dimensional Control, ', ASME J. Manuf. Sci. Eng., 121, p.756 –762.

DOI: 10.1115/1.2833137

Google Scholar

[8] Ding Y., Shi J., Ceglarek D., Diagnosabili- ty analysis of multi-station manufacturing processes, ASME Journal of Manufacturing Science and Engineering, 2002, 124 (1): 1-13.

DOI: 10.1115/imece2002-32343

Google Scholar

[9] Rao, Kleffe, Estimation of variance com- ponents and applications, Amsterdam: North- Holland, (1998).

Google Scholar