Wontaek Song

Papers

Total Citations

H-Index

About

Wontaek Song is a researcher advancing the frontiers of sustainable and autonomous manufacturing, with a focus on CNC technology and intelligent process optimization. His work centers on minimizing waste and energy consumption in machining operations, particularly through the real-time monitoring and control of cutting fluid supply. In his most-cited paper, "Optimization of cutting fluid supply based on the motor current" (2021, 4 citations), Song introduced a novel method that leverages motor current data to dynamically adjust coolant delivery, reducing fluid usage while maintaining machining quality—a practical step toward greener manufacturing. His more recent contribution, "Recent Advances in CNC Technology: Toward Autonomous and Sustainable Manufacturing" (2025, 2 citations), synthesizes emerging trends in self-optimizing machine tools and digital twin integration, offering a roadmap for industry and academia alike. Though early in his career, Song’s work is already shaping conversations on how sensor-driven feedback can transform traditional machining into a resource-efficient, data-informed process. His research is particularly relevant for students and engineers seeking to bridge the gap between theoretical sustainability goals and real-world shop-floor implementation.