Non-invasive radio frequency (RF)-driven in-process monitoring and control for enhancing micro-electrical discharge machining stability and efficiency
Flanders Make (Belgium) · KU Leuven
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
5
total citations
- FWCI
- 43.76
- Percentile
- 100%
- References
- 30
Too recent for citation history.
Authors
4Topics & keywords
Topics
Keywords
- Machining
- Electrical discharge machining
- Servo
- Servo control
- Adaptive control
- Process (computing)
- Stability (learning theory)
- Radio frequency
UN Sustainable Development Goals
- Affordable and clean energy
No related works found for this paper.