Friction stir welding is an important new method to fuse metals that are otherwise difficult to join. Currently, the parameterization of the process is based on human intuition, along with slow and complex computer simulations. The end goal of this project is to produce a real-time algorithm that can help a person in the design of an optimal, or near-optimal, friction stir welding process. This algorithm will significantly improve the efficiency at which friction stir welding tasks are designed and undertaken. York University will provide expertise in applied mathematics, including modelling and computation. The NRC will provide expertise in numerical simulation of multi-physics industrial processes and in particular a friction stir welding simulation and modelling as well as AI techniques.
Project team
Dr. Huaxiong Huang
Dr. Huaxiong Huang is a professor of mathematics at York University. His research area is in applied mathematics, including modelling and computation. He brings over 20 years of experience both in research and teaching mathematics, as well as strong connections to industry and commercial initiatives. He is well known in the applied mathematics community in Canada with strong international connections.
Dr. Kirk Fraser
Dr. Kirk Fraser is a researcher with the National Research Council of Canada. He has extensive experience in numerical simulation of multi-physics industrial processes such as friction stir welding.