Geun Byeong Chae
Papers
1
Total Citations
4
H-Index
1
About
Geun Byeong Chae is a researcher focused on advancing sustainable and intelligent manufacturing processes, with a particular emphasis on precision machining and process optimization. His work integrates real-time monitoring and control systems to enhance efficiency and reduce waste in industrial operations. Chae’s most notable contribution, detailed in his 2021 paper "Optimization of cutting fluid supply based on the motor current," introduces an innovative approach to minimizing coolant usage by leveraging motor current data to dynamically adjust fluid delivery. This method not only conserves resources but also improves machining accuracy and tool life, addressing critical challenges in modern manufacturing. Although his citation count is still growing—with his key paper accumulating 4 citations—Chae’s research represents a practical step toward smart factories, where data-driven decisions replace traditional trial-and-error methods. His work is particularly relevant for students and engineers exploring the intersection of sensor technology, energy efficiency, and automation in production systems. By focusing on measurable, real-time parameters, Chae contributes to a broader movement toward greener and more cost-effective manufacturing solutions.
Research Focus
Key Achievements
Top Papers
- 1Optimization of cutting fluid supply based on the motor current4 citations · 2021