デジタルツイングループ | 金沢大学設計製造技術研究所

Design optimization using computational inyelligence

概要

本研究グループでは，労働人口の減少に伴い，製造業において強く求められている生産性の向上のため，実際の生産システムをサイバー空間で再現するデジタルツインの構築を目指しています．工作機械の熱変形予測や，金属積層時の粉末の溶融・凝固現象など，生産プロセスを予測可能なシミュレーションシステムの構築を目指した研究を行っています．

研究紹介

複合加工機のデジタルモデルを
応用した力学解析

高い加工精度を実現するためには，加工に伴い発生する熱変形の予測が必要不可欠です．スマートファクトリー化の早期実現のため，高精度で熱変形予測が可能な複合加工機のデジタルモデルの開発研究に取り組んでいます．

金属AMの
デジタルツインモデルの開発

金属AMにおける積層現象を予測するため，金属AMのデジタルツインモデルの開発に取り組んでいます．現在はその初期段階として，数値解析による金属粉末の溶融・凝固現象の予測手法の開発を目指しています．

自然会に学ぶデジタル人工物設計

シミュレーション技術を駆使し，動物や植物の形態に学ぶ人工物設計論の研究を行っています．工業製品に適した条件に従い，形状や材料特性の最適化を行い，生物を模した複雑構造について，組紐技術や金属AMと融合した製造技術の確立を目指しています．

Immediate effect of local vibration on motor unit firing behavior and muscle strength in healthy young adult males

European Journal of Applied Physiology 124(12) 3707-3717

Impact Exploration of Spatiotemporal Feature Derivation and Selection on Machine Learning-Based Predictive Models for Post-Embolization Cerebral Aneurysm Recanalization

Cardiovascular Engineering and Technology 15(4) 394-404

The risk Factors for the Prevalence of Work-Related Musculoskeletal Disorders among Construction Workers: A Review

Journal of Applied Research on Industrial Engineering 11(2) 155-165

Determination of Significant Three-Dimensional Hemodynamic Features for Postembolization Recanalization in Cerebral Aneurysms Through Explainable Artificial Intelligence

World Neurosurgery 184 e166-e177

Rheo-SINDy: Finding a constitutive model from rheological data for complex fluids using sparse identification for nonlinear dynamics

Journal of Rheology　69(1) 15–34 2025

#Constitutive model
#Data-driven method
#Rheology
#Sparse identification

Recent developments on multiscale simulations for rheology and complex flow of polymers

Korea-Australia Rheology Journal, 36(4), 253-269 (2024)

#Machine learning
#Mesoscopic model
#Multiscale simulation
#Polymer
#Rheology
#Transport phenomena

Bottom-up Multiscale Simulation of Nonlinear Rheology for Entangled Polymer Melts: Using Atactic Polystyrene as An Example

Macromolecules, 57(24), 11808-11817 (2024)

#Multiscale
#Non-linear
#Polymer Melt
#simulation
#Viscoelastic

Effective pitch reduction of self-assembled lamellae by the use of (PS-b-PMMA)n multiblock copolymers

Japanese Journal of Applied Physics 64 02SP05 (2025)

#DSA
#Lithography
#Multiblock Copolymer
#simulation

Prediction of post-embolization recurrence in internal carotid-posterior communicating aneurysms with Vel-PointNet

Journal of Biomechanical Science and Engineering , Vol.18 , No.2(2023)

#Cerebral aneurysm
#Computational fluid dynamics (CFD)
#Deep neural network
#Flow pattern recognition
#Hemodynamics
#PointNet

Generating deceleration behavior of automatic driving by reinforcement learning that reflects passenger discomfort

International Journal of Industrial Ergonomics, Vol.91 , (2022)

#Autonomous car
#Reinforcement learning
#virtual reality

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設計技術領域デジタルツイングループ

概要

関連メンバー

研究紹介

複合加工機のデジタルモデルを
応用した力学解析

金属AMの
デジタルツインモデルの開発

自然会に学ぶデジタル人工物設計

Immediate effect of local vibration on motor unit firing behavior and muscle strength in healthy young adult males

Impact Exploration of Spatiotemporal Feature Derivation and Selection on Machine Learning-Based Predictive Models for Post-Embolization Cerebral Aneurysm Recanalization

The risk Factors for the Prevalence of Work-Related Musculoskeletal Disorders among Construction Workers: A Review

Determination of Significant Three-Dimensional Hemodynamic Features for Postembolization Recanalization in Cerebral Aneurysms Through Explainable Artificial Intelligence

Rheo-SINDy: Finding a constitutive model from rheological data for complex fluids using sparse identification for nonlinear dynamics

Recent developments on multiscale simulations for rheology and complex flow of polymers

Bottom-up Multiscale Simulation of Nonlinear Rheology for Entangled Polymer Melts: Using Atactic Polystyrene as An Example

Effective pitch reduction of self-assembled lamellae by the use of (PS-b-PMMA)n multiblock copolymers

Prediction of post-embolization recurrence in internal carotid-posterior communicating aneurysms with Vel-PointNet

Generating deceleration behavior of automatic driving by reinforcement learning that reflects passenger discomfort

Contact
お問い合わせ

設計技術領域デジタルツイングループ

概要

関連メンバー

研究紹介

複合加工機のデジタルモデルを 応用した力学解析

金属AMの デジタルツインモデルの開発

自然会に学ぶデジタル人工物設計

Immediate effect of local vibration on motor unit firing behavior and muscle strength in healthy young adult males

Impact Exploration of Spatiotemporal Feature Derivation and Selection on Machine Learning-Based Predictive Models for Post-Embolization Cerebral Aneurysm Recanalization

The risk Factors for the Prevalence of Work-Related Musculoskeletal Disorders among Construction Workers: A Review

Determination of Significant Three-Dimensional Hemodynamic Features for Postembolization Recanalization in Cerebral Aneurysms Through Explainable Artificial Intelligence

Rheo-SINDy: Finding a constitutive model from rheological data for complex fluids using sparse identification for nonlinear dynamics

Recent developments on multiscale simulations for rheology and complex flow of polymers

Bottom-up Multiscale Simulation of Nonlinear Rheology for Entangled Polymer Melts: Using Atactic Polystyrene as An Example

Effective pitch reduction of self-assembled lamellae by the use of (PS-b-PMMA)n multiblock copolymers

Prediction of post-embolization recurrence in internal carotid-posterior communicating aneurysms with Vel-PointNet

Generating deceleration behavior of automatic driving by reinforcement learning that reflects passenger discomfort

Contactお問い合わせ

複合加工機のデジタルモデルを
応用した力学解析

金属AMの
デジタルツインモデルの開発

Contact
お問い合わせ