NU-IDEAS-Lab / ded_dt_thermomechanical_solver

This is the "GAMMA" code for the DED-DT project's FEA model.

AM Thermomechanical Solver

A GPU-accelerated FEM solver for residual stress simulation in additive manufacturing using CuPy

Authors: Shuheng Liao, Ashkan Golgoon

Additional programming by Rujing Zha and Anthony Goeckner.

Paper: Liao, S., Golgoon, A., Mozaffar, M., & Cao, J. (2023). Efficient GPU-accelerated thermomechanical solver for residual stress prediction in additive manufacturing. Computational Mechanics, 71(5), 879-893.

Example results:

Installation Instructions

1. Install Conda according to instructions in the Conda documentation.

2. Create a Conda environment initialized with Python 3.10:

   conda create -n gamma python=3.10
   

3. Activate the Conda environment.

   conda activate gamma
   

4. Install all prerequisites. We require the following:

   • numba
   • pandas
   • scikit-learn
   • cupy
   • pyvista
   • pyvirtualdisplay
   • zarr

   All of the listed prerequisites may be installed easily using conda, as seen below:

   conda env update -f ./environment.yml

5. Install the gamma package:

   pip install -e .

Usage Instructions

After installing GAMMA using the Installation Instructions above, import the GAMMA interface in your project as follows:

from gamma.interface import FeaModel

Then use the FeaModel class to run the simulation.