Numerical model for prediction of tool wear and worn-out pin profile during friction stir welding
Abstract
Understanding tool wear during friction stir welding (FSW) is important for joining of high melting point metallic (HMPM) materials. Heat transfer and material flow based models developed in past have improved understanding of the FSW process. However, numerical models to predict tool wear and pin profile during FSW of HMPM materials are not available. Thus, the current research has focused on developing a heat transfer and material flow based model to predict tool wear and worn-out tool pin profile of H13 steel during FSW of Cu-0.8Cr-0.1Zr (CuCrZr) alloy. Temperature evolution and material flow are computed by solving conservation equations of mass, momentum and energy. The model thus developed is validated for thermal cycles and tool pin profile for various process parameters. Tool wear is predicted based on forces and stresses acting on the tool. Modified Archard’s wear theory is applied to compute tool wear and worn-out tool pin profile. The wear model successfully predicts the worn-out tool pin profile and self-optimized phenomena for various process parameters. The model is also applied to understand the changes in worn-out pin profile during FSW process.
Pankaj Sahlot
Assistant Professor of Mechanical Engineering
Dr. Pankaj Sahlot is Assistant Professor in Mechanical Engineering Department at Pandit Deendayal Energy University Gandhinagar, India. In PhD, He worked on experimental and numerical study of tool wear during Friction stir welding (FSW) under the guidance of Dr. Amit Arora at IIT Gandhinagar, India. He also visited University of North Texas Denton, USA for six months as a visiting researcher during PhD. His research work related to experimental and numerical study of Friction Stir Welding processes has been published in various reputed journals and conferences. He received award for Academic Excellence from Prof. C. N. R. Rao during M.Tech at IIT Hyderabad, India.