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Proceedings Papers

Multi-Stage Optimal Design for Turbulent Pipe Systems by Data-Driven Morphological Exploration and Evolutionary Shape Optimization

Kazuya Urata, Ryo Tsumoto, Kentaro Yaji, Kikuo Fujita
Proc. ASME. IDETC-CIE2024, Volume 3B: 50th Design Automation Conference (DAC), V03BT03A034, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143383
https://doi.org/10.1115/DETC2024-143383
View Paper titled, Multi-Stage Optimal Design for Turbulent Pipe Systems by Data-Driven Morphological Exploration and Evolutionary Shape Optimization
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Topics: Design, Pipes, Shape optimization, Topology, Turbulence
Proceedings Papers

Multifidelity Topology Design for Turbulent Heat Transfer Problems Using a Darcy Flow Model Incorporating Pseudo-Boundary Layer

Kaito Ohtani, Kentaro Yaji, Kikuo Fujita
Proc. ASME. IDETC-CIE2024, Volume 3B: 50th Design Automation Conference (DAC), V03BT03A033, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143380
https://doi.org/10.1115/DETC2024-143380
View Paper titled, Multifidelity Topology Design for Turbulent Heat Transfer Problems Using a Darcy Flow Model Incorporating Pseudo-Boundary Layer
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Topics: Design, Flow (Dynamics), Topology, Topology optimization, Turbulent heat transfer
Journal Articles

Latent Crossover for Data-Driven Multifidelity Topology Design

Taisei Kii, Kentaro Yaji, Kikuo Fujita, Zhenghui Sha, Carolyn Conner Seepersad
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. May 2024, 146(5): 051713.
Paper No: MD-23-1482
https://doi.org/10.1115/1.4064979
Published Online: March 28, 2024
View Article titled, Latent Crossover for Data-Driven Multifidelity Topology Design
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Topics: Deep generative models, Design, Optimization, Stress, Topology, Topology optimization, Evolutionary algorithms
Proceedings Papers

Data-Driven Multifidelity Topology Design With a Latent Crossover Operation

Taisei Kii, Kentaro Yaji, Kikuo Fujita, Zhenghui Sha, Carolyn C. Seepersad
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A037, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-111079
https://doi.org/10.1115/DETC2023-111079
View Paper titled, Data-Driven Multifidelity Topology Design With a Latent Crossover Operation
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Topics: Design, Stress, Topology, Topology optimization, Dimensions, Evolutionary algorithms, Manifolds, Stability, Structural analysis, Structural mechanics
Proceedings Papers

Tackling an Exact Maximum Stress Minimization Problem With Gradient-Free Topology Optimization Incorporating a Deep Generative Model

Misato Kato, Taisei Kii, Kentaro Yaji, Kikuo Fujita
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A008, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-111265
https://doi.org/10.1115/DETC2023-111265
View Paper titled, Tackling an Exact Maximum Stress Minimization Problem With Gradient-Free Topology Optimization Incorporating a Deep Generative Model
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Topics: Stress, Topology optimization
Proceedings Papers

Classification-Directed Conceptual Structure Design Based on Topology Optimization, Deep Clustering, and Logistic Regression

Ryo Tsumoto, Kikuo Fujita, Yutaka Nomaguchi, Shintaro Yamasaki, Kentaro Yaji
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A012, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-88548
https://doi.org/10.1115/DETC2022-88548
View Paper titled, Classification-Directed Conceptual Structure Design Based on Topology Optimization, Deep Clustering, and Logistic Regression
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Topics: Design, Optimization, Topology, Conceptual design, Bridges (Structures), Design automation, Geometry, Shapes
Proceedings Papers

Design Concept Generation With Variational Deep Embedding Over Comprehensive Optimization

Kikuo Fujita, Kazuki Minowa, Yutaka Nomaguchi, Shintaro Yamasaki, Kentaro Yaji
Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A038, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-69544
https://doi.org/10.1115/DETC2021-69544
View Paper titled, Design Concept Generation With Variational Deep Embedding Over Comprehensive Optimization
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Topics: Design, Optimization, Bridges (Structures), Conceptual design, Dimensions, Topology
Proceedings Papers

A Framework of Multi-Fidelity Topology Design and its Application to Optimum Design of Flow Fields in Battery Systems

Kentaro Yaji, Shintaro Yamasaki, Shohji Tsushima, Kikuo Fujita
Proc. ASME. IDETC-CIE2019, Volume 2A: 45th Design Automation Conference, V02AT03A059, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97675
https://doi.org/10.1115/DETC2019-97675
View Paper titled, A Framework of Multi-Fidelity Topology Design and its Application to Optimum Design of Flow Fields in Battery Systems
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Topics: Batteries, Design, Flow (Dynamics), Topology, Optimization
Journal Articles

An Optimum Design Method for a Thermal-Fluid Device Incorporating Multiobjective Topology Optimization With an Adaptive Weighting Scheme

Yuki Sato, Kentaro Yaji, Kazuhiro Izui, Takayuki Yamada, Shinji Nishiwaki
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. March 2018, 140(3): 031402.
Paper No: MD-17-1359
https://doi.org/10.1115/1.4038209
Published Online: January 10, 2018
View Article titled, An Optimum Design Method for a Thermal-Fluid Device Incorporating Multiobjective Topology Optimization With an Adaptive Weighting Scheme
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Topics: Design, Optimization, Topology, Approximation, Thermofluids, Heat sinks, Heat