Ultrasonic EDM for External Cylindrical Surface Machining with Graphite Electrodes: Horn Design and Hybrid NSGA-II–AHP Optimization of MRR and Ra
This study presents the first investigation into the application of ultrasonic vibration-assisted electrical discharge machining (UV-EDM) using graphite electrodes for external cylindrical surface machining—an essential surface in the production of tablet punches and sheet metal-forming dies. A custom ultrasonic horn was designed and fabricated using 90CrSi material to operate effectively at a resonant frequency of 20 kHz, ensuring stable vibration transmission throughout the machining process. A Box–Behnken experimental design was employed to explore the effects of five process parameters—vibration amplitude (A), pulse-on time (Ton), pulse-off time (Toff), discharge current (Ip), and servo voltage (SV)—on two key performance indicators: material removal rate (MRR) and surface roughness (Ra). The optimization process was conducted in two stages: single-objective analysis to maximize MRR while ensuring Ra < 4 µm, followed by a hybrid multi-objective approach combining NSGA-II and the Analytic Hierarchy Process (AHP). The optimal solution achieved a high MRR of 9.28 g/h while maintaining Ra below the critical surface finish threshold, thus meeting the practical requirements for punch surface quality. The findings confirm the effectiveness of the proposed horn design and hybrid optimization strategy, offering a new direction for enhancing productivity and surface integrity in cylindrical EDM applications using graphite electrodes.
Authors
- Le Thu Quy (ORCID: https://orcid.org/0000-0002-4351-4154)
- Vu Ngoc Pi (ORCID: https://orcid.org/0000-0002-8878-5919)
- Tat-Loi Mai
- Duc-Binh Vu
- Van-Thanh Dinh
Institutions
- Vinh University (VN)
- Thai Nguyen University (VN)
- Surface Treatment Technologies (United States) (US)
- Viet Tri University of Industry (VN)
- Hanoi University of Science and Technology (VN)
Publication Details
- Journal
- Machines
- Published
- 2025-08-01
- DOI
- https://doi.org/10.3390/machines13080675
- Citations
- 1
- Primary Topic
- Advanced Machining and Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- Bộ Giáo dục và Ðào tạo
- Thai Nguyen University of Technology