179 citations · 435 across the 9 of their papers we have counts for
9 papers
Enhancing Creativity in 3D Generative Design via a TRIZ-Inspired Text-to-CAD Framework
Dongeon Lee, Leekyo Jeong, Soyoung Yoo +2
Recent advances in large language models (LLMs) have demonstrated significant potential in supporting engineering design tasks, including computer-aided design (CAD) automation. Ho…
DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation
Soyoung Yoo, Leekyo Jeong, Jinsu Ra +4
Data-driven engineering design is constrained by the lack of large-scale 3D datasets that pair geometry with physics-based performance labels. In particular, existing 3D data augme…
DeepWheel: Generating a 3D Synthetic Wheel Dataset for Design and Performance Evaluation
Soyoung Yoo, Namwoo Kang
Data-driven design is emerging as a powerful strategy to accelerate engineering innovation. However, its application to vehicle wheel design remains limited due to the lack of larg…
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…
Explainable Artificial Intelligence for Manufacturing Cost Estimation and Machining Feature Visualization
Soyoung Yoo, Namwoo Kang
Studies on manufacturing cost prediction based on deep learning have begun in recent years, but the cost prediction rationale cannot be explained because the models are still used…
Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs
Seowoo Jang, Soyoung Yoo, Namwoo Kang
Generative design refers to computational design methods that can automatically conduct design exploration under constraints defined by designers. Among many approaches, topology o…
The Effect of Robo-taxi User Experience on User Acceptance: Field Test Data Analysis
Sunghee Lee, Soyoung Yoo, Seongsin Kim +2
With the advancement of self-driving technology, the commercialization of Robo-taxi services is just a matter of time. However, there is some skepticism regarding whether such taxi…
Integrating Deep Learning into CAD/CAE System: Generative Design and Evaluation of 3D Conceptual Wheel
Soyoung Yoo, Sunghee Lee, Seongsin Kim +3
Engineering design research integrating artificial intelligence (AI) into computer-aided design (CAD) and computer-aided engineering (CAE) is actively being conducted. This study p…
A Study on Anxiety about Using Robo-taxis: HMI Design for Anxiety Factor Analysis and Anxiety Relief Based on Field Tests
Soyoung Yoo, Sunghee Lee, Seongsin Kim +3
Despite the approaching commercialization of robo-taxis, various anxiety factors concerning the safety of autonomous vehicles are expected to form a large barrier against consumers…