In the integrated systems field, there are a number of laboratories engaged in cutting-edge research domains under the keyword “integrated systems”. For example, some laboratories focus on research related to semiconductor devices, such as integrated circuits, optical semiconductors, and MEMS, others focus on research related to image processing, audio signal processing, and terahertz wave applications.Here, I will introduce the Integrated Systems Optimization Laboratory (hereafter, Yamasaki Lab), one of the laboratories in the integrated systems field. Yamasaki Lab was established in the Graduate School of Information, Production and Systems in April 2022. Yamasaki Lab promotes basic and applied researches on the optimal design of integrated systems in abroad sense.Optimal design is activities on formulating the followings for a real-world design problem:● Design variables - Design factors that can be determined by the designer● Objective function - An evaluation index of the design target that should be maximized or minimized● Constraints - Conditions that the design target must satisfyand deriving its optimal (or locally optimal) design solution by using mathematical programming, meta-heuristics, and so on. The figure illustrates the process of searching for the optimal solution based on the sensitivity information, which represents one of the simplest types of optimal solution search.For optimal design problems with a small number of design variables, that is, with a small degree of design freedom, it is possible to obtain the optimal or quasi-optimal solution based on human intuition and experience. However, as the degree of design freedom increases, obtaining the optimal solution through intuition and experience becomes extremely difficult. For example, the figure shows the optimal structures of a bridge, a heat radiator, and an electrolyte flow channel. Here, a structural design methodology called topology optimization is used to search for solutions with hundreds of thousands of design degrees of freedom. In all cases, extremely complex optimal structures, similar the morphology of living things, are obtained. However, it would be difficult for most people to derive these structures based solely on intuition or experience. In the past, solving structural optimization problems with a large degree of design freedom was challenging. However, advancements in computational mechanics, physics-based simulations, and the increasing performance of computers have made it possible to obtain unique optimal structures, such as those shown in the figure.Physics-based simulations easily confirm that the three optimal structures shown in the figure demonstrate high performance. However, manufacturing such complex optimal structures has historically been challenging, posing a major issue in structural optimization. Recent advancements in additive manufacturing technology are now addressing this challenge. The structures shown in the figure are prototypes made from a plastic resin called PLA. Additionally, as additive manufacturing technology continues to advance, the range of usable materials is expanding significantly, bringing the innovation on products by the structural optimization closer to reality.In today's world of global competition, products are required to be optimal, and optimal design that goes beyond the limits of human thinking can be a powerful tool. I look forward to receiving applications from students who try to change the world through structural optimization.Research at IPSIntegrated System Optimization Lab.09Graduate School of Information, Production and Systems, Waseda UniversityIntegrated Systems Field(YAMASAKI Shintaro Lab.)Aim to create high-performance structures that go beyond the limit of human thinking by the combination of mathematics, physics, and computers
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