The Importance of Materials Data and Modelling Parameters in an FE Simulation of Linear Friction Welding

Linear friction welding has become a key technology in the aeroengine industry due to its capability to produce blisk components. Finite element (FE) simulation of linear friction welding applications has been studied in recent years by a number of institutions, using a variety of software codes. Se...

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Main Authors: R. Turner, F. Schroeder, R. M. Ward, J. W. Brooks
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Advances in Materials Science and Engineering
Online Access:http://dx.doi.org/10.1155/2014/521937
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author R. Turner
F. Schroeder
R. M. Ward
J. W. Brooks
author_facet R. Turner
F. Schroeder
R. M. Ward
J. W. Brooks
author_sort R. Turner
collection DOAJ
description Linear friction welding has become a key technology in the aeroengine industry due to its capability to produce blisk components. Finite element (FE) simulation of linear friction welding applications has been studied in recent years by a number of institutions, using a variety of software codes. Several codes have been demonstrated to be capable of predicting with reasonable accuracy some or all of the critical outputs of friction welding, namely, the thermal loading, plastic deformation, and residual stresses generated. The importance of reliable material data in performing these calculations is paramount. Available material data in the published literature is often restricted to lower temperatures and strain rate regimes. Extrapolation methods used on this data to estimate high temperature properties can lead to uncertainties in the modelled predictions. This paper reviews the approach to materials modelling, including material datasets and material constitutive laws, for FE simulation work in the literature regarding linear friction welding. Best-practice methods for materials constitutive laws, materials data-sets, and the associated experimental temperatures and strain rates used to gather data are suggested. Finally, successfully validated modelled outcomes—when a robust, reliable, and accurate material database has been selected—are demonstrated for a number of the FE methods considered.
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spelling doaj-art-eacdf9db0eb64a64b218f5c22f50aab12025-08-20T03:20:40ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422014-01-01201410.1155/2014/521937521937The Importance of Materials Data and Modelling Parameters in an FE Simulation of Linear Friction WeldingR. Turner0F. Schroeder1R. M. Ward2J. W. Brooks3School of Metallurgy & Materials, The University of Birmingham, Edgbaston, Birmingham B15 2TT, UKSchool of Metallurgy & Materials, The University of Birmingham, Edgbaston, Birmingham B15 2TT, UKSchool of Metallurgy & Materials, The University of Birmingham, Edgbaston, Birmingham B15 2TT, UKSchool of Metallurgy & Materials, The University of Birmingham, Edgbaston, Birmingham B15 2TT, UKLinear friction welding has become a key technology in the aeroengine industry due to its capability to produce blisk components. Finite element (FE) simulation of linear friction welding applications has been studied in recent years by a number of institutions, using a variety of software codes. Several codes have been demonstrated to be capable of predicting with reasonable accuracy some or all of the critical outputs of friction welding, namely, the thermal loading, plastic deformation, and residual stresses generated. The importance of reliable material data in performing these calculations is paramount. Available material data in the published literature is often restricted to lower temperatures and strain rate regimes. Extrapolation methods used on this data to estimate high temperature properties can lead to uncertainties in the modelled predictions. This paper reviews the approach to materials modelling, including material datasets and material constitutive laws, for FE simulation work in the literature regarding linear friction welding. Best-practice methods for materials constitutive laws, materials data-sets, and the associated experimental temperatures and strain rates used to gather data are suggested. Finally, successfully validated modelled outcomes—when a robust, reliable, and accurate material database has been selected—are demonstrated for a number of the FE methods considered.http://dx.doi.org/10.1155/2014/521937
spellingShingle R. Turner
F. Schroeder
R. M. Ward
J. W. Brooks
The Importance of Materials Data and Modelling Parameters in an FE Simulation of Linear Friction Welding
Advances in Materials Science and Engineering
title The Importance of Materials Data and Modelling Parameters in an FE Simulation of Linear Friction Welding
title_full The Importance of Materials Data and Modelling Parameters in an FE Simulation of Linear Friction Welding
title_fullStr The Importance of Materials Data and Modelling Parameters in an FE Simulation of Linear Friction Welding
title_full_unstemmed The Importance of Materials Data and Modelling Parameters in an FE Simulation of Linear Friction Welding
title_short The Importance of Materials Data and Modelling Parameters in an FE Simulation of Linear Friction Welding
title_sort importance of materials data and modelling parameters in an fe simulation of linear friction welding
url http://dx.doi.org/10.1155/2014/521937
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