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Kartikey Mathur

Fri, 01 January, 2021
Photo: Kartikey Mathur
Photo: Kartikey Mathur

Student Name

Kartikey Mathur

Research Title

Real time evaluation of weld quality during Friction Stir Welding (Industry 4.0)

Keywords

Industry 4.0; Friction Stir Welding; Machine Learning

Sponsor

Lloyd's Register Foundation

Affiliated University

Lancaster University

Supervisors

Mr. Stephen Cater, (TWI Ltd), Dr. Andrew Kennedy, Dr. Yingtao Tian (Lancaster University)

Start Date

1 January 2021

Project Outline

FSW is a joining technique that relies on localised forging and extrusion of the material to be joined around a rotating tool. There are many variables which affect making a successful joint: process parameters, tool geometry and wear, machine stability, condition of supply of the component, work holding etc.

This project will investigate how these variables affect weld quality, sensors will be selected and installed on the FSW machine(s) and used to assess the FSW environment and through collection and analysis of data establish if the process is in control and (non-destructively) if a good weld is expected.

Publications

 

Thesis

Real time evaluation of weld quality during Friction Stir Welding