Automatic balancing of 3D models |
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| Affiliation: | 1. Technical University of Denmark, Denmark;2. Autodesk Research, Canada;1. School of Science, Jiangnan University, Wuxi Jiangsu 214122, China;2. State Key Lab of CAD & CG, Zhejiang University, Hangzhou Zhejiang 310027, China;3. Department of Mathematics, Zhejiang University, Hangzhou Zhejiang 310027, China;1. Mathematics Department, Zhejiang University, Hangzhou 310027, China;2. School of Computer Engineering, Nanyang Technological University, Singapore 639798, Singapore;3. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore;4. School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China;1. Istanbul Technical University, Turkey;2. Chuo University, Japan;3. The University of Tokyo, Japan;1. School of Automation, Nanjing University of Science and Technology, Nanjing, PR China;2. Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, PR China;3. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, PR China;4. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, Nanjing, PR China |
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| Abstract: | 3D printing technologies allow for more diverse shapes than are possible with molds and the cost of making just one single object is negligible compared to traditional production methods. However, not all shapes are suitable for 3D print. One of the remaining costs is therefore human time spent on analyzing and editing a shape in order to ensure that it is fit for production. In this paper, we seek to automate one of these analysis and editing tasks, namely improving the balance of a model to ensure that it stands. The presented method is based on solving an optimization problem. This problem is solved by creating cavities of air and distributing dense materials inside the model. Consequently, the surface is not deformed. However, printing materials with significantly different densities is often not possible and adding cavities of air is often not enough to make the model balance. Consequently, in these cases, we will apply a rotation of the object which only deforms the shape a little near the base. No user input is required but it is possible to specify manufacturing constraints related to specific 3D print technologies. Several models have successfully been balanced and printed using both polyjet and fused deposition modeling printers. |
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| Keywords: | Rationalization 3D printing Shape and topology optimization Deformable Simplicial Complex method |
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