Jaeseong Lee
Papers
1
Total Citations
6
H-Index
1
About
Jaeseong Lee is a rising researcher in mechanical engineering, specializing in the optimization of complex gear systems through the integration of multibody dynamics and evolutionary algorithms. His most-cited work, "Optimization of the macro-geometry of planetary gears using multibody dynamics and genetic algorithm" (2025), has already garnered 6 citations, demonstrating early impact in a niche but critical area of drivetrain design. Lee’s major contribution lies in developing a novel framework that combines high-fidelity dynamic simulations with genetic algorithm-based optimization to enhance the efficiency, durability, and noise reduction of planetary gears—key components in automotive and aerospace transmissions. By systematically refining macro-geometry parameters such as tooth profiles and gear ratios, his approach reduces iterative prototyping and accelerates design cycles. This work has practical implications for electric vehicle powertrains and wind turbine gearboxes, where lightweight, high-torque gear sets are essential. Lee’s research bridges theoretical mechanics with applied engineering, offering a scalable methodology for next-generation gear optimization. As his citation count grows, he is positioned to become a leading voice in computational design for mechanical systems.
Research Focus
Key Achievements
Top Papers
- 1