DEPARTMENT.FACULTY
- DEPARTMENT_STAFF.QUALIFICATION
Ph.D., M.Tech., B.Tech.
- DEPARTMENT_STAFF.DESIGNATION
Assistant Professor
- DEPARTMENT_STAFF.THRUST_AREA
Manufacturing Automation, Adaptive control of manufacturing processes, Metal Cutting Operations, CNC Milling, Robotics and Automation, Minimum Quantity Lubrication, FEM of machining process
- DEPARTMENT_STAFF.ADDRESS
Dept. of Mech. Engg. ZHCET, AMU, Aligarh
- DEPARTMENT_STAFF.MOBILE
9557103410
- DEPARTMENT_STAFF.EMAIL
muaziitk@gmail.com
- DEPARTMENT_STAFF.TIME_TABLE
Dr. Muhammed Muaz is working as an Assistant Professor in the department. His research areas include metal cutting operations, friction stir welding, manufacturing automation, adaptive control of manufacturing processes, robotics and automation, cutting fluids, minimum quantity lubrication, FEM of machining, powder metallurgy, materials characterization, optimization of manufacturing processes. He has published several research articles including journal papers, conference papers, and book chapters. He is writing a book on Manufacturing Automation. He has filed two patents on his own innovations. One of his patent is GRANTED and one is published. He is a reviewer of many refereed Q1 journals. He is a Guest Editor of Special Issue "Sustainable Developments & Innovations in Manufacturing" [Sustainability] (IF: 3.889, ISSN: 2071-1050). His edited book entitled 'Smart Systems: Methodological Approaches and Applications' has been approved for publication by CRC Press, Taylor & Francis Group. He is teaching UG and PG courses. In addition to these courses, he is assigned the teaching load in various labs including the Manufacturing Technology lab, Hardware lab, Computer Programming Lab, Kinematics and stress analysis lab, Engineering Graphics Lab. He was placed at 1st Position in B.Tech and at 2nd Position in M.Tech. He has completed his Ph.D. from IIT Kanpur.
- Enhancing tribo-rheological performance of solid lubricants mixed bio-based emulsions applied through minimum quantity cooling lubrication technique.
- Failure mechanics analysis of AISI 4340 steel using finite element modeling of the milling process
The Journal of Strain Analysis for Engineering Design, 57 (7), 2022.
- Experimental investigations and multi-objective optimization of MQL-assisted milling process for finishing of AISI 4340 steel
- A realistic 3D finite element model for simulating multiple rotations of modified milling inserts using coupled temperature-displacement analysis
Int. J. Adv. Manuf. Technol. (2020). 107, pp-343-354.
https://link.springer.com/article/10.1007/s00170-020-05085-4
- Enhancing the tribological aspects of machining operation by hybrid lubrication assisted side flank face laser textured milling insert
J. Brazilian Soc. Mech. Sci. Eng. 41 (2019) 1–11.