%0 Journal Article %1 FRITZEN2025117487 %A Fritzen, Felix %A Herb, Julius %A Sharba, Shadi %D 2025 %J Computer Methods in Applied Mechanics and Engineering %K reduction,simulation myown,NTFA,thermo-mechanical,homogenization,model order %P 117487 %R https://doi.org/10.1016/j.cma.2024.117487 %T Thermo-plastic Nonuniform Transformation Field Analysis for eigenstress analysis of materials undergoing laser melt injection %U https://www.sciencedirect.com/science/article/pii/S0045782524007412 %V 433 %X In engineering applications, surface modifications of materials can greatly influence the lifetime of parts and structures. For instance, laser melt injection (LMI) of ceramic particles into a metallic substrate can greatly improve abrasive resistance. The LMI process is challenging to model due to the rapid temperature changes, which induce high mechanical stresses. Ultimately, this leads to plastification and residual eigenstresses in particles and matrix. These depend on the process parameters. In order to predict these stresses, we propose a major extension of the Nonuniform Transformation Field Analysis that enables the method to cope with strongly varying thermo-elastic material parameters over a large temperature range (here: 300 to 1300 K). The newly proposed θ-NTFA method combines the NTFA with a Galerkin projection to solve for the self-equilibrated fields needed to gain the NTFA system matrices. For that, we exploit our recent thermo-elastic reduced order model (Sharba et al., 2023) and extend it to allow for arbitrary polarization strains. An efficient implementation and a rigorous separation of the derivation of the reduced order model is proposed. The new θ-NTFA is then validated for various thermo-mechanical loadings and in thermo-mechanical two-scale simulations.

@article{FRITZEN2025117487, abstract = {In engineering applications, surface modifications of materials can greatly influence the lifetime of parts and structures. For instance, laser melt injection (LMI) of ceramic particles into a metallic substrate can greatly improve abrasive resistance. The LMI process is challenging to model due to the rapid temperature changes, which induce high mechanical stresses. Ultimately, this leads to plastification and residual eigenstresses in particles and matrix. These depend on the process parameters. In order to predict these stresses, we propose a major extension of the Nonuniform Transformation Field Analysis that enables the method to cope with strongly varying thermo-elastic material parameters over a large temperature range (here: 300 to 1300 K). The newly proposed θ-NTFA method combines the NTFA with a Galerkin projection to solve for the self-equilibrated fields needed to gain the NTFA system matrices. For that, we exploit our recent thermo-elastic reduced order model (Sharba et al., 2023) and extend it to allow for arbitrary polarization strains. An efficient implementation and a rigorous separation of the derivation of the reduced order model is proposed. The new θ-NTFA is then validated for various thermo-mechanical loadings and in thermo-mechanical two-scale simulations.}, added-at = {2024-11-04T14:00:16.000+0100}, author = {Fritzen, Felix and Herb, Julius and Sharba, Shadi}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2e833690f499830bb9288c97f22ab90d4/aisa}, doi = {https://doi.org/10.1016/j.cma.2024.117487}, interhash = {a44dfc043edc5d311c687a4af22c90ec}, intrahash = {e833690f499830bb9288c97f22ab90d4}, issn = {0045-7825}, journal = {Computer Methods in Applied Mechanics and Engineering}, keywords = {reduction,simulation myown,NTFA,thermo-mechanical,homogenization,model order}, pages = 117487, timestamp = {2024-11-04T14:00:16.000+0100}, title = {Thermo-plastic Nonuniform Transformation Field Analysis for eigenstress analysis of materials undergoing laser melt injection}, url = {https://www.sciencedirect.com/science/article/pii/S0045782524007412}, volume = 433, year = 2025 }