Abstract
This paper presents a new quality improvement algorithm for segmented quadrilateral/hexahedral meshes which are generated from multiple materials. The proposed algorithm combines mesh pillowing, curve and surface fairing driven by geometric flows, and optimization-based mesh regularization. The pillowing technique for quadrilateral/hexahedral meshes is utilized to eliminate doublets with two or more edges/faces located on boundary curves/surfaces. The non-manifold boundary for multiple materials is divided into several surface patches with common curves. Then curve vertices, surface vertices, and interior vertices are optimized via different strategies. Various geometric flows for surface smoothing are compared and discussed as well. Finally, the proposed algorithm is applied to three mesh datasets, the resulting quadrilateral meshes are well smoothed with volume and feature preserved, and hexahedral meshes have desirable Jacobians.
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Acknowledgements
The work in this paper was done when J. Leng was a visiting student at the Department of Mechanical Engineering, Carnegie Mellon University. J. Leng, Y. Zhang and J. Qian were supported in part by Y. Zhang’s ONR-YIP award N00014-10-1-0698, an ONR grant N00014-08-1-0653, an AFOSR grant FA9550-11-1-0346, and a NSF/DoD-MRSEC seed grant. J. Leng and G. Xu were supported in part by NSFC key project under the grant 10990013 and Funds for Creative Research Groups of China (grant No. 11021101).
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Leng, J., Xu, G., Zhang, Y., Qian, J. (2013). Quality Improvement of Segmented Hexahedral Meshes Using Geometric Flows. In: Zhang, Y. (eds) Image-Based Geometric Modeling and Mesh Generation. Lecture Notes in Computational Vision and Biomechanics, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4255-0_11
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DOI: https://doi.org/10.1007/978-94-007-4255-0_11
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