Multiscale, multiphysics numerical modeling of fusion welding with experimental characterization and validation

Journal article (2013)

Authors

M Tong University College Dublin
G Duggan University College Dublin
I.M. Richardson OLD Metals Processing, Microstructures and Properties
A. Kidess ChemE/Transport Phenomena - AS
C.R. Kleijn ChemE/Transport Phenomena - AS
S (extern) Wen Tata Steel
R Barnett TWI Ltd
DJ Browne University College Dublin
J Liu University of Leicester
Yue Xie University of Leicester
M Dodge TWI Ltd, University of Leicester
L Aucott University of Leicester
HB Dong University of Leicester
J Dantzig University of Illinois at Urbana Champaign, Swiss Federal Institute of Technology
O Barrera University of Oxford
C. Zhao Joining and Mechanical Behavior
Research Group
Joining and Mechanical Behavior
More Info
expand_more

Published Date

2013

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Research Group

Joining and Mechanical Behavior

Abstract

Various physical interfacial phenomena occur during the process of welding and influence the final properties of welded structures. As the features of such interfaces depend on physics that resolve at different spatial scales, a multiscale and multiphysics numerical modeling approach is necessary. In a collaborative research project Modeling of Interface Evolution in Advanced Welding, a novel strategy of model linking is employed in a multiscale, multiphysics computational framework for fusion welding. We only directly link numerical models that are on neighboring spatial scales instead of trying to link all submodels directly together through all available spatial scales. This strategy ensures that the numerical models assist one another via smooth data transfer, avoiding the huge difficulty raised by forcing models to attempt communication over many spatial scales. Experimental activities contribute to the modeling work by providing valuable input parameters and validation data. Representative examples of the results of modeling, linking and characterization are presented.