A numerical methodology for predicting tool wear in Friction Stir Welding

A novel methodology for predicting tool wear in FSW based on a CFD model, coupled with a modified Archard equation, is presented considering the effect of the deformation of the highly viscous flow around the tool on tool wear. A validation process is proposed to ensure robust results when using th...

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Main Authors: Hasan, Ahmed, Bennett, Chris, Shipway, P.H., Cater, S., Martin, J.
Format: Article
Published: Elsevier 2017
Subjects:
Online Access:https://eprints.nottingham.ac.uk/38771/
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author Hasan, Ahmed
Bennett, Chris
Shipway, P.H.
Cater, S.
Martin, J.
author_facet Hasan, Ahmed
Bennett, Chris
Shipway, P.H.
Cater, S.
Martin, J.
author_sort Hasan, Ahmed
building Nottingham Research Data Repository
collection Online Access
description A novel methodology for predicting tool wear in FSW based on a CFD model, coupled with a modified Archard equation, is presented considering the effect of the deformation of the highly viscous flow around the tool on tool wear. A validation process is proposed to ensure robust results when using this methodology. A study was carried out to predict the wear on a dome shaped FSW tool, indicating that high wear was predicted at the shoulder edge due to rapidly changing flow, and that the interaction of the axial flow with the pin causes a bifurcation of the flow and an associated increase in pressure at the mid axial position of the pin, again leading to high wear in this location. The proposed approach could be used as a method for calculating tool wear and determining the effective limits of tool use, without the need for experimental trials.
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spelling nottingham-387712020-05-04T18:39:41Z https://eprints.nottingham.ac.uk/38771/ A numerical methodology for predicting tool wear in Friction Stir Welding Hasan, Ahmed Bennett, Chris Shipway, P.H. Cater, S. Martin, J. A novel methodology for predicting tool wear in FSW based on a CFD model, coupled with a modified Archard equation, is presented considering the effect of the deformation of the highly viscous flow around the tool on tool wear. A validation process is proposed to ensure robust results when using this methodology. A study was carried out to predict the wear on a dome shaped FSW tool, indicating that high wear was predicted at the shoulder edge due to rapidly changing flow, and that the interaction of the axial flow with the pin causes a bifurcation of the flow and an associated increase in pressure at the mid axial position of the pin, again leading to high wear in this location. The proposed approach could be used as a method for calculating tool wear and determining the effective limits of tool use, without the need for experimental trials. Elsevier 2017-03-31 Article PeerReviewed Hasan, Ahmed, Bennett, Chris, Shipway, P.H., Cater, S. and Martin, J. (2017) A numerical methodology for predicting tool wear in Friction Stir Welding. Journal of Materials Processing Technology, 241 . pp. 129-140. ISSN 0924-0136 Friction stir welding; Computational fluid dynamics; Tool wear; Modelling http://www.sciencedirect.com/science/article/pii/S0924013616303909 doi:10.1016/j.jmatprotec.2016.11.009 doi:10.1016/j.jmatprotec.2016.11.009
spellingShingle Friction stir welding; Computational fluid dynamics; Tool wear; Modelling
Hasan, Ahmed
Bennett, Chris
Shipway, P.H.
Cater, S.
Martin, J.
A numerical methodology for predicting tool wear in Friction Stir Welding
title A numerical methodology for predicting tool wear in Friction Stir Welding
title_full A numerical methodology for predicting tool wear in Friction Stir Welding
title_fullStr A numerical methodology for predicting tool wear in Friction Stir Welding
title_full_unstemmed A numerical methodology for predicting tool wear in Friction Stir Welding
title_short A numerical methodology for predicting tool wear in Friction Stir Welding
title_sort numerical methodology for predicting tool wear in friction stir welding
topic Friction stir welding; Computational fluid dynamics; Tool wear; Modelling
url https://eprints.nottingham.ac.uk/38771/
https://eprints.nottingham.ac.uk/38771/
https://eprints.nottingham.ac.uk/38771/