Tolerance Analysis Method Using Improved Convolution Method

Article Preview

Abstract:

Convolution method is studied to analyze statistical tolerance for linear dimension chain and nonlinear dimension chain. Hybrid convolution method is proposed, which is the integration of analytical convolution and numerical convolution. In order to reduce the algorithm errors, improved convolution method is proposed. Comparing with other statistical tolerance analysis methods, this method is faster and accurate. At last, an example is used to demonstrate the method proposed in this paper.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1463-1466

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Y.S. Hong and T.C. Chang: International Journal of Production Research. Vol. 40 (2002), p.2425.

Google Scholar

[2] H.S. Seo and B.M. Kwak: International Journal Production Research. Vol. 40 (2002), p.931.

Google Scholar

[3] P. Varghese, R.N. Braswell, B. Wang and C. Zhang: Computer-Aided Design. Vol. 28 (1996) p.723.

Google Scholar

[4] K.W. Chase and W.H. Greenwood: Manufacturing Review, Vol. 1 (1988), p.50.

Google Scholar

[5] P. Muthu, V. Dhanalakshmi and K. Sankaranarayanasamy: International Journal of Advanced Manufacturing Technology, Vol. 44 (2009), p.1154.

Google Scholar

[6] S. Nadarajah: Computer-Aided Design, Vol. 39 (2007), p.170.

Google Scholar