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Multiscale, Multiphysics Numerical Modeling of Fusion Welding with Experimental Characterization and Validation
Authors:Mingming Tong  Gregory Duggan  Jun Liu  Yu Xie  Mike Dodge  Lee Aucott  Hongbiao Dong  Ruslan L Davidchack  Jon Dantzig  Olga Barrera  Alan CF Cocks  Hiroto Kitaguchi  Sergio Lozano-Perez  Chuangxin Zhao  Ian Richardson  Anton Kidess  Chris R Kleijn  Shuwen Wen  Roger Barnett  David J Browne
Affiliation:1. University College Dublin, Belfield, Dublin 4, Ireland
2. University of Leicester, Leicester, LE1 7RH, UK
3. TWI Ltd., Cambridge, UK
4. école Polytechnique Federale de Lausanne, Lausanne, Switzerland
5. Mechanical Science and Engineering, University of Illinois, Urbana, IL, 61801, USA
6. University of Oxford, Oxford, UK
7. Delft University of Technology, Delft, The Netherlands
8. Xtreme Technologies GmbH, 52074, Aachen, Germany
9. Tata Steel, Rotherham, South Yorkshire, S60 3AR, UK
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.
Keywords:
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