Hanoi University of Industry | Vietnam
Prof. Nguyen Huu Phan is a distinguished researcher and lecturer in the Faculty of Mechanical Engineering at Hanoi University of Industry, Vietnam, known for his extensive contributions to advanced manufacturing processes, particularly electrical discharge machining (EDM), powder-mixed EDM (PMEDM), micro-EDM, vibration-assisted machining, and multi-criteria optimization. He earned his Doctorate from Thai Nguyen University in 2016 and has since established a strong research record with 25 Scopus-indexed documents, 351 citations, and an h-index of 11, reflecting the impact of his work in machining optimization, dielectric modifications, surface engineering, process modelling, and decision-making methodologies such as Taguchi, TOPSIS, DEAR, and grey relational analysis. His research has been published in leading international journals including Surface Review and Letters, International Journal of Advanced Manufacturing Technology, Materials and Manufacturing Processes, Metals, and International Journal of Modern Physics B. He has collaborated with global researchers on innovations involving coated electrodes, powder-mixed dielectrics, and performance enhancement of EDM for difficult-to-machine materials like Ti-6Al-4V. Dr. Phan also received funding from the National Foundation for Science and Technology Development for his work on optimizing PMEDM process parameters. His ongoing research continues to advance precision machining technologies and sustainable manufacturing solutions.
Featured Publications
Dua, T. V., Phan, N. H., Huy, T. Q., & Toan, N. D. (2025). Investigation of electrode wear and surface quality in powder mixed electrical discharge machining (PMEDM) with low-frequency vibration applied to the workpiece. Surface Review and Letters.
Nguyen, H. P., Shirguppikar, S., Ganachari, V., Ly, N. T., & Toan, N. D. (2025). Optimization of surface roughness in AISI D-3 machining using powder-mixed electrical discharge machining with aluminum powder. Surface Review and Letters.
Pham, V. H., Phan, N. H., Shirguppikar, S., & Toan, N. D. (2025). Enhancing EDM performance with multi-objective decision-making using copper-coated aluminum electrodes and TOPSIS methodology for Ti-6Al-4V machining. International Journal of Modern Physics B.
Phan, N. H., Dong, P. V., Thinh, H. X., Asghari Ilani, M., Ly, N. T., Hai, H. T., & Tam, N. C. (2024). Review: Enhancing additive digital manufacturing with supervised classification machine learning algorithms. The International Journal of Advanced Manufacturing Technology.
Phan, N. H., Shirguppikar, S., & Toan, N. D. (2024). Optimizing micro-EDM with carbon-coated electrodes: A multi-criteria approach. International Journal of Modern Physics B.