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다중 스케일 위상최적화를 위한 조건부 적대적 생성 신경망을 통한 재료 표현
서민식(Minsik Seo),민승재(Seungjae Min) 대한기계학회 2020 대한기계학회 춘추학술대회 Vol.2020 No.12
In this paper, a novel material representation method for multi-scale topology optimization is proposed. The number of design variables of every microstructure reduces by the generator network. The generator is trained together with the discriminator simultaneously in an adversarial way. Some of the condensed design variables are applied as conditions of the generative networks to control the microstructure much easier than without any condition. These conditions also make the generated samples be uniformly distributed without augmentation of the training data. The isotropic microstructure is tested, and the result shows the effectiveness of the proposed method. By this method, geometric constraints are not necessary in the optimization phase.
자기 비선형, 탄성, 열전도가 고려된 다중물리 기반 미세구조 위상최적설계
정도윤(Doyun Jeong),서민식(Minsik Seo),민승재(Seungjae Min) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.11
With the development of additive manufacturing technology, design studies of microstructure for controlling physical properties are being actively conducted, and also widely used in the development of magnetic devices. These devices must consider multiphsics phenomena such as magnetic nonlinearity, elasticity, and heat transfer. However, studies on microstructure design considering multiphysics problems especially, with nonlinear magnetic fields are rare. Therefore, a multiphysics inverse homogenization method that controls mechanical properties in nonlinear magnetic fields was proposed. The effective properties were derived using the periodic cell theory-based homogenization method, and topology optimization was carried out. Microstructure design methods that maximize bulk, shear modulus, and thermal conductivity subject to prescribed nonlinear permeability were proposed. As a result, the multiphysics optimization problem showed that two physics phenomena were considered simultaneously, unlike the single physics problems. This design method can be applied to optimize structural stiffness and heat transfer while controlling nonlinear permeability in the development of xEV components.
자기 비선형, 탄성, 열전도가 고려된 다중물리 기반 미세구조 위상최적설계
정도윤(Doyun Jeong),서민식(Minsik Seo),민승재(Seungjae Min) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.11
With the development of additive manufacturing technology, design studies of microstructure for controlling physical properties are being actively conducted, and also widely used in the development of magnetic devices. These devices must consider multiphsics phenomena such as magnetic nonlinearity, elasticity, and heat transfer. However, studies on microstructure design considering multiphysics problems especially, with nonlinear magnetic fields are rare. Therefore, a multiphysics inverse homogenization method that controls mechanical properties in nonlinear magnetic fields was proposed. The effective properties were derived using the periodic cell theory-based homogenization method, and topology optimization was carried out. Microstructure design methods that maximize bulk, shear modulus, and thermal conductivity subject to prescribed nonlinear permeability were proposed. As a result, the multiphysics optimization problem showed that two physics phenomena were considered simultaneously, unlike the single physics problems. This design method can be applied to optimize structural stiffness and heat transfer while controlling nonlinear permeability in the development of xEV components.