Vu Thi Doan Trang

Papers

Total Citations

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About

Dr. Vu Thi Doan Trang is a mechanical engineer whose research focuses on the structural optimization and dynamic analysis of industrial robotic systems. Her most significant contribution lies in applying generative design (GD) methodologies to enhance the performance of robotic manipulators. Her highly cited 2023 paper presents a comprehensive static and dynamic simulation analysis of a six-degree-of-freedom industrial welding robot arm, demonstrating how GD-based geometric optimization can improve structural integrity and operational efficiency. By using Autodesk INVENTOR software, she established a replicable framework for redesigning robot links to reduce weight while maintaining strength. This work has garnered early attention (5 citations) for its practical relevance to modern manufacturing automation. Dr. Trang’s research bridges the gap between computational design and real-world robotics, offering engineers a data-driven path to lighter, more agile industrial arms. Her findings are particularly valuable for industries seeking to enhance welding precision and cycle times through smarter, simulation-informed design.