A Similarity Evaluation Metric for Mesh Based CAE Model Simplification and Its Application on Vehicle

2017-01-1332

03/28/2017

Features
Event
WCX™ 17: SAE World Congress Experience
Authors Abstract
Content
To obtain higher efficiency in analysis process, simplification methods for computer-aided engineering (CAE) models are required in engineering. Current model simplification methods can meet certain precision and efficiency requirement, but these methods mainly concentrate on model features while ignoring model mesh which is also critical to efficiency of the analysis process and preciseness of the results. To address such issues, an integrated mesh simplification and evaluation process is proposed in this paper. The mesh is simplified to fewer features (e.g. faces, edges, and vertices) through edge collapsing based on quadric error metric. Then curvatures and normal vectors which are the objects to be evaluated are extracted from the original and simplified models for comparison. To obtain accurate results, the geometric information of mesh nodes and elements are both considered in this evaluation process. The proposed method is implemented on a vehicle crash test. The results demonstrate the feasibility of the proposed integrated method.
Meta TagsDetails
DOI
https://doi.org/10.4271/2017-01-1332
Pages
6
Citation
Yang, X., Zhan, Z., Jiang, N., Yang, J. et al., "A Similarity Evaluation Metric for Mesh Based CAE Model Simplification and Its Application on Vehicle," SAE Technical Paper 2017-01-1332, 2017, https://doi.org/10.4271/2017-01-1332.
Additional Details
Publisher
Published
Mar 28, 2017
Product Code
2017-01-1332
Content Type
Technical Paper
Language
English