Simulation of laser impact welding for dissimilar additively manufactured foils considering influence of inhomogeneous microstructure

Introduced is a comprehensive numerical modeling framework that includes microstructure when simulating the laser impact welding (LIW) of metals to study the transient phenomena that occur during weld formation. Such transient phenomena include evolution of shear stresses, plastic strains, thermal r...

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Main Authors: Sumair Sunny, Glenn Gleason, Ritin Mathews, Arif Malik
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Materials & Design
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127520309084
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spelling doaj-216f5df613384e808dff281f2e98a0b72021-01-02T05:06:46ZengElsevierMaterials & Design0264-12752021-01-01198109372Simulation of laser impact welding for dissimilar additively manufactured foils considering influence of inhomogeneous microstructureSumair Sunny0Glenn Gleason1Ritin Mathews2Arif Malik3Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USADepartment of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USADepartment of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USACorresponding author.; Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USAIntroduced is a comprehensive numerical modeling framework that includes microstructure when simulating the laser impact welding (LIW) of metals to study the transient phenomena that occur during weld formation. Such transient phenomena include evolution of shear stresses, plastic strains, thermal response, and material jetting. Inhomogeneous microstructures for two dissimilar foils (aluminum 1100 and stainless steel 304) are first predicted using the Dynamic Kinetic Monte Carlo (KMC) method to simulate laser-based powder bed fusion (PBF-LB) additive manufacturing (AM). These microstructures are subsequently incorporated into an Eulerian finite element (FE) simulation of the LIW process, enabling prediction of grain elongations that result from the varying yield surfaces, stacking fault energies, and grain-boundary sliding effects. Trends in the predicted microstructure deformation patterns show strong agreement with those from experimental images in the literature. Compared to existing homogeneous models, the new framework with inhomogeneous AM microstructure reveals higher collision velocities at the weld interface, resulting in increased plastic strain rates, greater plastic heat dissipation, and increased material jetting with higher jet temperatures. The framework allows for new opportunities to study correlations between grain topography (as well as polycrystalline metal texture) and the transient process phenomena occurring at the impact weld interface.http://www.sciencedirect.com/science/article/pii/S0264127520309084Impact weldingAdditive manufacturingMicrostructure predictionFinite element numerical modeling
collection DOAJ
language English
format Article
sources DOAJ
author Sumair Sunny
Glenn Gleason
Ritin Mathews
Arif Malik
spellingShingle Sumair Sunny
Glenn Gleason
Ritin Mathews
Arif Malik
Simulation of laser impact welding for dissimilar additively manufactured foils considering influence of inhomogeneous microstructure
Materials & Design
Impact welding
Additive manufacturing
Microstructure prediction
Finite element numerical modeling
author_facet Sumair Sunny
Glenn Gleason
Ritin Mathews
Arif Malik
author_sort Sumair Sunny
title Simulation of laser impact welding for dissimilar additively manufactured foils considering influence of inhomogeneous microstructure
title_short Simulation of laser impact welding for dissimilar additively manufactured foils considering influence of inhomogeneous microstructure
title_full Simulation of laser impact welding for dissimilar additively manufactured foils considering influence of inhomogeneous microstructure
title_fullStr Simulation of laser impact welding for dissimilar additively manufactured foils considering influence of inhomogeneous microstructure
title_full_unstemmed Simulation of laser impact welding for dissimilar additively manufactured foils considering influence of inhomogeneous microstructure
title_sort simulation of laser impact welding for dissimilar additively manufactured foils considering influence of inhomogeneous microstructure
publisher Elsevier
series Materials & Design
issn 0264-1275
publishDate 2021-01-01
description Introduced is a comprehensive numerical modeling framework that includes microstructure when simulating the laser impact welding (LIW) of metals to study the transient phenomena that occur during weld formation. Such transient phenomena include evolution of shear stresses, plastic strains, thermal response, and material jetting. Inhomogeneous microstructures for two dissimilar foils (aluminum 1100 and stainless steel 304) are first predicted using the Dynamic Kinetic Monte Carlo (KMC) method to simulate laser-based powder bed fusion (PBF-LB) additive manufacturing (AM). These microstructures are subsequently incorporated into an Eulerian finite element (FE) simulation of the LIW process, enabling prediction of grain elongations that result from the varying yield surfaces, stacking fault energies, and grain-boundary sliding effects. Trends in the predicted microstructure deformation patterns show strong agreement with those from experimental images in the literature. Compared to existing homogeneous models, the new framework with inhomogeneous AM microstructure reveals higher collision velocities at the weld interface, resulting in increased plastic strain rates, greater plastic heat dissipation, and increased material jetting with higher jet temperatures. The framework allows for new opportunities to study correlations between grain topography (as well as polycrystalline metal texture) and the transient process phenomena occurring at the impact weld interface.
topic Impact welding
Additive manufacturing
Microstructure prediction
Finite element numerical modeling
url http://www.sciencedirect.com/science/article/pii/S0264127520309084
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