Prof. Fardad Azarmi

Associate Professor
North Dakota State University
Mechanical Engineering
Fargo, ND
USA 58108-6050

Papers:

Application of Machine Learning for Optimization of HVOF Process Parameters
Microstructural Evaluation of Tungsten Carbide-Cobalt (WC-17Co) Alloy Deposited by Cold Spraying, High Velocity Air Fuel, and High Velocity Oxygen Fuel Spraying Technologies