Our research focuses on advanced manufacturing technologies,
particularly Micro Electrical Discharge Machining (Micro-EDM),
ultra-precision machining of brittle materials, and AI-driven
intelligent process monitoring systems.
1. Micro-EDM Process Control
We investigate discharge waveform characteristics and develop
adaptive control algorithms for RC-type Micro-EDM drilling systems.
Our work includes:
Multi-time-scale modeling of discharge behavior
Real-time gap state estimation
Discharge energy optimization
Debris evacuation dynamics analysis
2. Ultra Precision Machining of Brittle Materials
This research explores ductile-mode machining mechanisms in brittle
materials such as glassy carbon and advanced ceramics.
Brittle-to-ductile transition analysis
Surface crack suppression techniques
Tool wear and subsurface damage evaluation
Nano-scale surface integrity measurement
3. AI-Based Manufacturing Intelligence
We apply deep learning and time-series modeling techniques to
enhance process monitoring and predictive control in machining systems.
Transformer-based time-series prediction models
Multi-sensor data fusion
Anomaly detection in machining signals
Tool wear prediction and adaptive parameter tuning