2 citations · 2 across the 12 of their papers we have counts for
12 papers
Adaptive Time Windows for Discrete Adjoint Topology Optimization of Unsteady Flows
Zongyuan Liu, Kentaro Yaji, Musaddiq Al Ali +1
Rather than prescribing an evaluation interval a priori, the proposed framework characterizes each evolving unsteady flow using a sequence of time windows. A consecutive-window con…
4D Topology optimization of moving rigid bodies in fluid flows
Yuta Tanabe, Kentaro Yaji, Kuniharu Ushijima
This study applies , a framework for simultaneously optimizing the morphology and motion of a system, to a rigid body that induces fluid flow. Th…
Topology optimization of two-fluid turbulent heat exchangers: A Darcy flow-based multifidelity approach
Hiroki Kawabe, Kaito Ohtani, Kentaro Yaji +2
This paper presents a topology optimization method for designing two-fluid heat exchangers under turbulent conditions using a Darcy flow-based low-fidelity (LF) model. The LF model…
Distortion-minimized de-homogenization for optimization of cell-size distribution in TPMS structures
Hiroki Kawabe, Kaito Ohtani, Yusibo Yang +2
This paper presents a homogenized topology optimization (TO) method for spatially optimizing cell-size distribution of triply-periodic minimal surface (TPMS) structures, with high…
Topology optimization of passively moving rigid bodies in unsteady flows
Yuta Tanabe, Kentaro Yaji, Kuniharu Ushijima
This study proposes the topology optimization method for moving rigid bodies subjected to forces from fluid flow, such as sails and turbines, with an unsteady time-dependent formul…
Homogenization-based optimization of wall thickness distribution for TPMS two-fluid heat exchangers
Kaito Ohtani, Hiroki Kawabe, Kentaro Yaji +2
Triply Periodic Minimal Surface (TPMS) structures are attracting growing attention as promising geometries for next-generation high-performance heat exchangers (HXs), due to their…
Data-driven multifidelity and multiscale topology optimization based on phasor-based evolutionary de-homogenization
Shuzhi Xu, Yifan Guo, Hiroki Kawabe +1
Multiscale topology optimization is crucial for designing porous infill structures with high stiffness-to-weight ratios and excellent energy absorption. Although gradient-based met…
Multi-scale topology optimization of porous heat sinks with voided lattice structure using a two-layer Darcy-Forchheimer model
Tatsuki Saito, Yuto Kikuchi, Kuniharu Ushijima +1
This study presents a topology optimization framework for the design of water cooled heat sinks that incorporate voided lattice structures, formulated using a two-layer Darcy-Forch…
Topology optimization of actively moving rigid bodies in unsteady flows
Yuta Tanabe, Kentaro Yaji, Kuniharu Ushijima
This study proposes a novel topology optimization method for unsteady fluid flows induced by actively moving rigid bodies. The key idea of the proposed method is to decouple the de…
Topology optimization for microchannel heat sinks with nanofluids using an Eulerian-Eulerian approach
Chih-Hsiang Chen, Kentaro Yaji
The demand for high-performance heat sinks has significantly increased with advancements in computing power and the miniaturization of electronic devices. Among the promising solut…
Topology optimization for particle flow problems using Eulerian-Eulerian model with a finite difference method
Chih-Hsiang Chen, Kentaro Yaji
Particle flow processing is widely employed across various industrial applications and technologies. Due to the complex interactions between particles and fluids, designing effecti…
Evolutionary de-homogenization using a generative model for optimizing solid-porous infill structures considering the stress concentration issue
Shuzhi Xu, Hiroki Kawabe, Kentaro Yaji
The design of porous infill structures presents significant challenges due to their complex geometric configurations, such as the accurate representation of geometric boundaries an…