Rae Eun Kim

Papers

Total Citations

H-Index

About

Rae Eun Kim is a researcher specializing in the intersection of robotics, electromechanical systems, and acoustic engineering. Her work focuses on the design and optimization of brushless DC (BLDC) motors for robotic joints, with a particular emphasis on mitigating acoustic noise—a critical challenge in precision robotics. Her most cited study, "Acoustic FEA Analysis and Modification for Robot Joint BLDC Motor" (2017), demonstrates a systematic approach to diagnosing and resolving abnormal noise in compact motor systems. By integrating electromagnetic analysis, modal analysis, and acoustic simulation, Kim identified that a 3500 Hz electromagnetic force component was the root cause of the noise, enabling targeted design modifications. Though her citation count is modest (2 citations for this work), the research reflects a deep, hands-on expertise in finite element analysis (FEA) and multi-physics simulation, offering practical solutions for quieter, more reliable robotic actuators. Kim’s contributions are particularly valuable for students and engineers working on high-performance robotic joints, where noise reduction is essential for both functionality and user experience. Her methodical, simulation-driven approach serves as a model for tackling complex electromechanical noise problems in emerging robotic systems.