A Self-Adaptive Algorithm for 3D Dimension Based on Normal Adjustment

Abstract:

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For the interference problem between 3D dimension and solid model caused by model rotation, a self-adaptive algorithm was proposed in this paper. Firstly, three types of dimension interference in 3D model were analyzed. Secondly, the work flow of self-adaptive algorithm was investigated and the key technologies such as interference check, normal adjustment were described in detail. By adjusting the normal of each interfered 3D dimension to non-interference state, the interference problem in this paper can be solved. All the algorithms were realized in a dynamically module based on CAXASOLID. Case study showed that the strategies present are feasible. Finally, the trends and expectation of 3D dimension layout was summarized.

Info:

Periodical:

Advanced Materials Research (Volumes 230-232)

Edited by:

Ran Chen and Wenli Yao

Pages:

113-116

DOI:

10.4028/www.scientific.net/AMR.230-232.113

Citation:

H. An et al., "A Self-Adaptive Algorithm for 3D Dimension Based on Normal Adjustment", Advanced Materials Research, Vols. 230-232, pp. 113-116, 2011

Online since:

May 2011

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Price:

$35.00

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