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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
Topology Optimization Accelerated by Deep Learning
| Title: | Topology Optimization Accelerated by Deep Learning |
| Authors: | Sasaki, Hidenori Browse this author | | Igarashi, Hajime Browse this author →KAKEN DB |
| Keywords: | Approximate computing | | convolutional neural network (CNN) | | deep learning (DL) | | interior permanent magnet (IPM) motor | | topology optimization |
| Issue Date: | Jun-2019 |
| Publisher: | IEEE (Institute of Electrical and Electronics Engineers) |
| Journal Title: | IEEE Transactions on Magnetics |
| Volume: | 55 |
| Issue: | 6 |
| Start Page: | 7401305 |
| Publisher DOI: | 10.1109/TMAG.2019.2901906 |
| Abstract: | The computational cost of topology optimization based on the stochastic algorithm is shown to be greatly reduced by deep learning. In the learning phase, the cross-sectional image of an interior permanent magnet motor, represented in RGB, is used to train a convolutional neural network (CNN) to infer the torque properties. In the optimization phase, all the individuals are approximately evaluated by the trained CNN, while finite element analysis for accurate evaluation is performed only for a limited number of individuals. It is numerically shown that the computational cost for the topology optimization can be reduced without the loss of optimization quality. |
| Rights: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Type: | article (author version) |
| URI: | http://hdl.handle.net/2115/74695 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 五十嵐 一
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