Statistical shape modeling in virtual assembly using PCA-technique
Journal article, 2013

The use of virtual assembly tools is one way to understand and improve the geometric product tolerance setting and the conditions for successful manufacturing. Recent developments enable consideration to be given to the deformability of parts (single components or subassemblies) when joined. In order to produce reliable results, the geometric deviations of the mating surfaces must be correctly assumed. In this paper, statistical shape models built on the Principal Component Analysis-technique (PCA) are proposed to be used to describe the part variation. A generalized model is presented and the underlying intentions and implications are discussed. It is demonstrated how the PCA-technique can be applied on bigger structures. The method is exemplified using the software RD&T. In the presented case, a non-rigid sheet metal assembly is modeled and distorted to create a set of sample shapes from which a statistical model is built. In the result, the statistic representation bears a good resemblance to the distorted nominal model when the two are compared.

Sheet metal

Non-rigid simulation

Geometric modeling

Principal component analysis

Author

Björn Lindau

Chalmers, Product and Production Development, Product Development

Lars Lindkvist

Chalmers, Product and Production Development, Product Development

Alf Andersson

Chalmers, Product and Production Development, Product Development

Rikard Söderberg

Chalmers, Product and Production Development, Product Development

Journal of Manufacturing Systems

0278-6125 (ISSN)

Vol. 32 3 (speical issue) 456-463

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Areas of Advance

Production

DOI

10.1016/j.jmsy.2013.02.002

More information

Created

10/7/2017