Variation Analysis of Sheet Metal Assemblies with Fixture Configuration

Article Preview

Abstract:

The dimensional quality of auto-body relates to the whole external appearance and wind noise, the effect of closing the door and even driving smoothness of vehicles. The deviation propagation can be analyzed through the method of influence coefficient (MIC). However, fixture deviation usually impacts on the assembly variation than part variation. A variation analysis modeling with fixture configuration is presented to improve the current variation analysis efficiency of sheet metal parts. The variation change process of part, fixture and assembly was analyzed by researching the locating and assembly process of sheet metal parts. The linear relationships among variations of parts, fixtures and assemblies are established with two locating principles of “N-2-1” and “3-2-1”. Moreover, in accordance with the different release modes of the fixture locating points after the assembly, the assembly variation modeling is established in the two modes of over-constrained release and full release. Finally, a case of sheet metal assembly is illustrated to show the effectiveness of the assembly variation analysis modeling.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3283-3287

Citation:

Online since:

May 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] S.C. Liu, S.J. Hu: Journal of Manufacturing Science and Engineering. Vol.119 (1997), p.368

Google Scholar

[2] J.A. Camelio, S.J. Hu, and D.J. Ceglarek: Journal of Mechanical Design, Vol. 125 (2003), p.673

Google Scholar

[3] J.A. Camelio, S.J. Hu, and D.J. Ceglarek: Journal of Manufacturing Systems, Vol. 23 (2004), p.182

Google Scholar

[4] C.C. Hsieh, K.P. Oh: International Journal of Vehicle Design, Vol. 18 (1997), p.455

Google Scholar

[5] L.S. Xie, and C.C. Hsieh: International Journal Materials and Product Technology, Vol. 17 (2002), p.389

Google Scholar