第三周碩博專討演講公告(03/03)
2022.03.02
碩博專討演講公告
題目:
Bioinspired Structural Materials, Analysis, Design and Synthesis.
主講人:游濟華 助理教授
現職:國立成功大學 工程科學學系 助理教授
內容摘要:
Here we propose a new design method using AI to solve bioinspired composite materials in a complex system. Biological structural materials are made by a stiff matrix and a compliance glue to exhibit extraordinary mechanical properties which synthetic materials do not possess. The reason for this excellent performance is because a particular order makes them of microstructures. To imitate the exceptional material properties of biomaterials, the idea of bioinspired structural material has been proposed. However, the number of combinations of design space is usually intractable. Therefore, we offer a new design method by using reinforcement learning to solve the problem. Here we developed a hierarchical design paradigm. The hierarchical design process starts from a design space with limited combinations. After obtaining the best design of the current system size, we expanded the design system and searched for the best design with higher resolution. We searched for the best crack resistance by using the hierarchical reinforcement learning from a lower resolution. By comparing the design results in the two design systems, the hierarchical design can effectively increase the convergence rate. We further discussed the results obtained from each hierarchical level. It can be observed that the best structure obtained from a high-resolution design space shows a significant improvement by depressing the stress concentration at the crack tip. The best composition was examined through 3D printing. The experimental results show that there is an excellent agreement with our AI design. The design framework proposed in this research can be used as an alternative method for optimization in a complex design system with various constraints. This research can be potentially applied to bionic structural design, nanoengineering, and material design in the future.
時間:民國111年03月03日 星期四
地點:moodle上觀看線上影片及成功大學成功校區三系館鋼構區(3F)共同教室 A1302演講廳
題目:
Bioinspired Structural Materials, Analysis, Design and Synthesis.
主講人:游濟華 助理教授
現職:國立成功大學 工程科學學系 助理教授
內容摘要:
Here we propose a new design method using AI to solve bioinspired composite materials in a complex system. Biological structural materials are made by a stiff matrix and a compliance glue to exhibit extraordinary mechanical properties which synthetic materials do not possess. The reason for this excellent performance is because a particular order makes them of microstructures. To imitate the exceptional material properties of biomaterials, the idea of bioinspired structural material has been proposed. However, the number of combinations of design space is usually intractable. Therefore, we offer a new design method by using reinforcement learning to solve the problem. Here we developed a hierarchical design paradigm. The hierarchical design process starts from a design space with limited combinations. After obtaining the best design of the current system size, we expanded the design system and searched for the best design with higher resolution. We searched for the best crack resistance by using the hierarchical reinforcement learning from a lower resolution. By comparing the design results in the two design systems, the hierarchical design can effectively increase the convergence rate. We further discussed the results obtained from each hierarchical level. It can be observed that the best structure obtained from a high-resolution design space shows a significant improvement by depressing the stress concentration at the crack tip. The best composition was examined through 3D printing. The experimental results show that there is an excellent agreement with our AI design. The design framework proposed in this research can be used as an alternative method for optimization in a complex design system with various constraints. This research can be potentially applied to bionic structural design, nanoengineering, and material design in the future.
時間:民國111年03月03日 星期四
地點:moodle上觀看線上影片及成功大學成功校區三系館鋼構區(3F)共同教室 A1302演講廳