finetune-am

Additive Manufacturing related software modules

Getting Started

1. Installation

pip install am

2. Create a new Workspace:

am create_workspace test

3. Navigate to workspace directory and manage.py file

python manage.py

4. Drop .gcode file in parts folder within workspace directory.

5. Select and parse .gcode file within parts folder with.

python manage.py parse_gcode

6. Create solver.

python manage.py create_solver model="eagar-tsai" name="eagar-tsai" device="cuda:0"

7. Create simulation .

python manage.py create_simulation

8. Run simulation .

python manage.py run_simulation layer_index="99"

References

@article{
	title = {Thermal control of laser powder bed fusion using deep reinforcement learning},
	volume = {46},
	issn = {2214-8604},
	url = {https://www.sciencedirect.com/science/article/pii/S2214860421001986},
	doi = {10.1016/j.addma.2021.102033},
	journal = {Additive Manufacturing},
	author = {Ogoke, Francis and Farimani, Amir Barati},
	month = oct,
	year = {2021},
	keywords = {Additive Manufacturing, Deep Reinforcement Learning, Powder Bed Fusion},
	pages = {102033},
}

@phdthesis{
	address = {United States -- California},
	type = {Ph.{D}.},
	title = {Physics-{Based} {Surrogate} {Modeling} of {Laser} {Powder} {Bed} {Fusion} {Additive} {Manufacturing}},
	copyright = {Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.},
	url = {https://www.proquest.com/docview/2503475225/abstract/71F47FA688874C02PQ/1},
	language = {English},
	school = {University of California, Davis},
	author = {Wolfer, Alexander James},
	year = {2020},
	note = {ISBN: 9798582546023},
	keywords = {Additive Manufacturing, Bayesian statistics, Mechanical engineering, Powder bed fusion, Surrogate model, Uncertainty quantification},
}

@article{
	title = {Fast solution strategy for transient heat conduction for arbitrary scan paths in additive manufacturing},
	volume = {30},
	issn = {2214-8604},
	url = {https://www.sciencedirect.com/science/article/pii/S2214860419303446},
	doi = {10.1016/j.addma.2019.100898},
	journal = {Additive Manufacturing},
	author = {Wolfer, Alexander J. and Aires, Jeremy and Wheeler, Kevin and Delplanque, Jean-Pierre and Rubenchik, Alexander and Anderson, Andy and Khairallah, Saad},
	month = dec,
	year = {2019},
	keywords = {Additive manufacturing, Gaussian convolution, Heat conduction, Powder bed fusion, Semi-analytical model},
	pages = {100898},
}

@article{
	title = {The {Theory} of {Moving} {Sources} of {Heat} and {Its} {Application} to {Metal} {Treatments}},
	volume = {68},
	issn = {0097-6822},
	url = {https://doi.org/10.1115/1.4018624},
	doi = {10.1115/1.4018624},
	number = {8},
	journal = {Transactions of the American Society of Mechanical Engineers},
	author = {Rosenthal, D.},
	month = dec,
	year = {2022},
	pages = {849--865},
}