Assist Prof Dr. Muhammad Ali Khan | Manufacturing | Best Researcher Award
Faculty, National University of Sciences and Technology, Pakistan
Dr. Muhammad Ali Khan is dedicated to implementing technology-based curriculum delivery and assessment media, providing students with the necessary tools to achieve academic goals and prepare for future careers. He is committed to contributing to team success through innovative multi-disciplinary research, experimental design, and prototyping.
Profile
Education π
Assistant Professor Dr. Muhammad Ali Khan has an extensive educational background and a remarkable academic career in the field of mechanical and manufacturing engineering. He earned his Doctor of Philosophy in Design & Manufacturing Engineering from the School of Mechanical & Manufacturing Engineering at NUST, where he conducted significant research on the machinability of titanium alloys under cryogenic conditions, graduating with a perfect CGPA of 4.00/4.00 in December 2020.
Prior to his doctoral studies, Dr. Khan completed his Master of Science in Manufacturing Engineering & Management in August 2016. His passion for engineering began with his Bachelor of Engineering in Mechanical Engineering from the College of E&ME, NUST, which he completed in May 2005. His bachelor’s studies included noteworthy theses on the corrosion protection of ASTM A-516 through surface treatment and passivation, achieving a CGPA of 3.80/4.00, and the design and fabrication of a recumbent vehicle, with a CGPA of 3.54/4.00.
Dr. Khan’s academic pursuits have been marked by a consistent dedication to advancing the field of manufacturing engineering, focusing on innovative techniques and materials to enhance industrial processes. His contributions to the study of titanium alloys and surface treatment methods underscore his expertise and commitment to research excellence.
Experience π«
Dr. Muhammad Ali Khan has a robust research portfolio with interests spanning several critical areas in mechanical and manufacturing engineering. His primary research interest lies in machining, where he explores advanced techniques to enhance the efficiency and precision of material removal processes. He is particularly focused on the machinability of challenging materials, such as titanium alloys, under various conditions.
In addition to machining, Dr. Khan is deeply involved in manufacturing system design. He aims to innovate and improve the integration of machinery, materials, and methods to develop efficient and sustainable manufacturing processes. His work in this area seeks to streamline production, reduce waste, and enhance overall system performance.
Dr. Khan is also proficient in optimization techniques, which he applies to various aspects of manufacturing and engineering. He utilizes these techniques to identify the best possible solutions for complex engineering problems, ensuring optimal performance, cost-effectiveness, and resource utilization. His expertise in optimization contributes significantly to the advancement of manufacturing technologies and practices.
Awards π
HEC Approved Supervisor
PEC Professional Engineer Certification
Publications Top Notes π
Khan, M.A., Jaffery, S. H. I., Khan, M., Younas, M., Butt, S. I., Ahmad, R., & Warsi, S. S. (2019). Statistical analysis of energy consumption, tool wear and surface roughness in machining of Titanium alloy (Ti-6Al-4V) under dry, wet and cryogenic conditions. Mech. Sci., 10, 561β573. link
Younas, M., Jaffery, S.H.I., Khan, M., Khan, M.A., et al. (2019). Multi-objective optimization for sustainable turning Ti6Al4V alloy using grey relational analysis (GRA) based on analytic hierarchy process (AHP). Int J Adv Manuf Technol, 105, 1175β1188. link
Khan, M.A., Jaffery, S.H.I., Khan, M., et al. (2020). Multi-objective optimization of turning titanium-based alloy Ti-6Al-4V under dry, wet, and cryogenic conditions using gray relational analysis (GRA). Int J Adv Manuf Technol, 106, 3897β3911. link
Khan, Z., Khan, M., Jaffery, S. H. I., Younas, M., Afaq, K. S., & Khan, M.A. (2020). Numerical and experimental investigation of the effect of process parameters on sheet deformation during the electromagnetic forming of AA6061-T6 alloy. Mech. Sci., 11, 329β347. link
Khan, M.A., Jaffery, S.H.I., Baqai, A.A., et al. (2022). Comparative analysis of tool wear progression of dry and cryogenic turning of titanium alloy Ti-6Al-4V under low, moderate and high tool wear conditions. Int J Adv Manuf Technol, 121, 1269β1287. link