https://github.com/caeassistant-group/inherent-strain-method-in-metal-additive-manufacturing-abaqus-simulation

This research investigates the application of the Inherent Strain method in Abaqus, an effective numerical strategy for simulating Laser Powder Bed Fusion (LPBF) in metal additive manufacturing. For this purpose, we have implemented the DFLUX and USDFLD subroutines using Fortran.
https://github.com/caeassistant-group/inherent-strain-method-in-metal-additive-manufacturing-abaqus-simulation

3d-printing abaqus additive-manufacturing cae dflux-subroutine fem finite-element-analysis finite-element-methods finite-elements fortran laser numerical python simulation

Last synced: about 2 months ago
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This research investigates the application of the Inherent Strain method in Abaqus, an effective numerical strategy for simulating Laser Powder Bed Fusion (LPBF) in metal additive manufacturing. For this purpose, we have implemented the DFLUX and USDFLD subroutines using Fortran.

• Host: GitHub
• URL: https://github.com/caeassistant-group/inherent-strain-method-in-metal-additive-manufacturing-abaqus-simulation
• Owner: CAEAssistant-Group
• License: mit
• Created: 2025-03-17T13:20:01.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2025-03-17T13:37:52.000Z (about 2 months ago)
• Last Synced: 2025-03-17T14:35:23.583Z (about 2 months ago)
• Topics: 3d-printing, abaqus, additive-manufacturing, cae, dflux-subroutine, fem, finite-element-analysis, finite-element-methods, finite-elements, fortran, laser, numerical, python, simulation
• Language: Fortran
• Homepage: https://caeassistant.com/product/inherent-strain-method-metal-additive-manufacturing-1/
• Size: 8.79 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# Inherent-strain-method-in-Metal-Additive-Manufacturing-Abaqus-simulation

This research investigates the application of the Inherent Strain method in Abaqus, an effective numerical strategy for simulating Laser Powder Bed Fusion (LPBF) in metal additive manufacturing. For this purpose, we have implemented the DFLUX and USDFLD subroutines using Fortran.

![Picture1](https://github.com/user-attachments/assets/fe998a00-1f22-4e6e-9b94-b94d18a69d0b)

In this GitHub repository, we have shared the USDFLD subroutine developed for this project, which determines whether the part's temperature has exceeded a critical threshold and activates the element if it has.