Try the fastest way of performing the Angstrom method, yet!
PyAngstrom is a fully-featured Python library with which you can take thermal camera videos and extrapolate the thermal conductivity of the material that was shot. It comes with several solutions to common governing equations, and you also get many options for how you want to fit your models to your experimental data. If these built-in functions do not measure up to your needs, you can also easily extend PyAngstrom by writing custom solutions and fitting methods to match exactly what you are looking for.
Let's make the Angstrom method great again!
This repository can be directly installed through pip using the command:
pip install git+https://github.com/RuralBrick/Angstrom-Method-Rewrite.git
The pyangstrom package will be installed into your current environment.
Instructions, examples, and much more can all be found in this repository’s wiki! Also, source code documentation can be found in this repository’s Pages, for those interested in all the nitty-gritty details.
This repository is a rewrite of the code found at https://github.com/yuanyuansjtu/High-T-Angstrom-Method and https://github.com/yuanyuansjtu/Angstrom-method. If you use this code in your research, please cite the following sources:
- https://doi.org/10.5281/zenodo.4587868
- https://doi.org/10.5281/zenodo.4587863
- https://doi.org/10.1115/1.4053108
- https://doi.org/10.1115/1.4047145
This code was written for the Nano Transport Research Group (NTRG) at UCLA through a collaboration between PhD Student Min Jong Kil and Undergraduate Research Assistant Theodore Lau under the direction of Professor Timothy S. Fisher. The majority of this work is inspired by and derived from the work of Yuan Hu under NTRG.
This code is based off of techniques and theory described in the following papers:
- Hu, Y., Abuseada, M., Alghfeli, A., Holdheim, S., and Fisher, T. S. (December 20, 2021). "High-Temperature Thermal Diffusivity Measurements Using a Modified Ångström's Method With Transient Infrared Thermography." ASME. J. Heat Transfer. February 2022; 144(2): 023502. https://doi.org/10.1115/1.4053108
- Hu, Y., and Fisher, T. S. (May 29, 2020). "Accurate Thermal Diffusivity Measurements Using a Modified Ångström's Method With Bayesian Statistics." ASME. J. Heat Transfer. July 2020; 142(7): 071401. https://doi.org/10.1115/1.4047145
- Lopez-Baeza, Ernesto & Rubia, J & Goldsmid, Hiroshi. (1987). Angstrom's thermal diffusivity method for short samples. Journal of Physics D Applied Physics. 20. 1156. 10.1088/0022-3727/20/9/011.