5 citations · 7 across the 4 of their papers we have counts for
4 papers
Weighted Unsupervised Domain Adaptation Considering Geometry Features and Engineering Performance of 3D Design Data
Seungyeon Shin, Namwoo Kang
The product design process in manufacturing involves iterative design modeling and analysis to achieve the target engineering performance, but such an iterative process is time con…
Performance Comparison of Design Optimization and Deep Learning-based Inverse Design
Minyoung Jwa, Jihoon Kim, Seungyeon Shin +3
Surrogate model-based optimization has been increasingly used in the field of engineering design. It involves creating a surrogate model with objective functions or constraints bas…
Topology Optimization via Machine Learning and Deep Learning: A Review
Seungyeon Shin, Dongju Shin, Namwoo Kang
Topology optimization (TO) is a method of deriving an optimal design that satisfies a given load and boundary conditions within a design domain. This method enables effective desig…
Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude of Maximum Stress
Seungyeon Shin, Ah-hyeon Jin, Soyoung Yoo +4
For ensuring vehicle safety, the impact performance of wheels during wheel development must be ensured through a wheel impact test. However, manufacturing and testing a real wheel…