A Self-Adaptive Algorithm for 3D Dimension Based on Normal Adjustment
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.
Ran Chen and Wenli Yao
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