Waseda University · Engineering
Professor Akihiro Takezawa's research lab specializes in computational design and optimization of advanced functional materials and structures, with a strong focus on additive manufacturing (AM) and topology optimization. The lab investigates the development of lattice structures, phononic crystals, and thermoelectric devices to achieve tailored mechanical, thermal, and functional properties. Key research directions include robust design under uncertainty, thermal distortion reduction in metal AM, and multi-material AM for enhanced performance. The lab integrates numerical methods such as polynomial chaos expansion and homogenization with practical manufacturing validation through experiments.
Figures are computed from collected data and may differ slightly.
Additive manufacturing (AM) could be a novel method of fabricating composite and porous materials having various effective performances based on mechanisms of their internal geometries. Materials fabricated by AM could rapidly be used in industrial application since they could easily be embedded in the target part employing the same AM process used for the bulk material. Furthermore, multi-material AM has greater potential than usual single-material AM in producing materials with effective prope
Summary The uncertain spatial variation of material properties can remarkably affect the band gap characteristics of phononic crystals (PnCs). It is necessary to consider this issue when designing and manufacturing PnC materials/structures. This paper investigates a robust topology optimization method for designing the microstructures of PnCs by considering random‐field material properties. Herein, the spatial distribution of the material properties is first represented by a random field and the
Open papers in the app to read, cite, and organize with AI.
