Abstract
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.
Original language | English |
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Article number | 109372 |
Journal | Materials and Design |
Volume | 198 |
DOIs | |
State | Published - Jan 15 2021 |
Externally published | Yes |
Funding
The authors acknowledge support in part from the U.S. National Science Foundation, grant no. CMMI-1762722. Any opinions, findings, or conclusions expressed in this paper are those of the authors and do not necessarily reflect the views of the U.S. National Science Foundation.
Funders | Funder number |
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U.S. National Science Foundation | |
National Science Foundation | CMMI-1762722 |
Keywords
- Additive manufacturing
- Finite element numerical modeling
- Impact welding
- Microstructure prediction