3D Printable Porous Shoe Midsole Design with Cellular Structures Based on Truss Optimization and Voxel Post-Processing
| Autor: | Guang-Liang Chen, 陳廣亮 |
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| Rok vydání: | 2019 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 107 Topology optimization (TO) is a method of structural optimization which widely used in many fields. The concept of TO is to get the best structure in the design domain under the volume constraints. Before additive manufacturing (AM) evolved to become a common method to produce components, the complicate topology structure is hard to be fabricated. However, AM was substantial growing in the past decades and the difficulty of topology structure fabrication had been dramatically reduced. Therefore, more and more topology structure can be used in our daily life. Now, some researcher started to use TO to design porous midsole structure. In order to calculate with high precision, the design needs amounted mesh in finite element and thus the computation task is very heavy. This research presents a fast approach of porous midsole design which is based on truss size optimization and post-processing of voxelization and gets the optimal porous-like structure. The algorithm flow starts with building the truss in the design domain and clustering the truss member by simulating each member stress with loading. Then it uses clustering optimization algorithm to find the best size of each truss member. After that, the algorithm uses Boolean operation to unite all members of the truss and 3D blur convolution to fillet the truss structure and compensate the volume error. In the final, we use two shoe lost to verify the feasibility of this methods and the results show that this is a fast and efficiency manner. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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