Skip to main content

Revised Enskog solutions

Project description

KineticGas

Implementation of Enskog solutions for diffusion, thermal diffusion and conductivity. The file theory.pdf contains an excerpt of the project report this package was created to produce, that outlines the theory used in the package and some notable results regarding the stability of the solutions.

Dependencies

C++ module uses the pybind11 package to expose itself to the Python wrapper, removing this dependency does not ammount to more than deleting the final lines in KineticGas.cpp and removing the appropriate include statements.

The Python extension requires the ThermoPack python module (pyctp) and associated dependencies. The ThermoPack module is only used as a database for Mie-parameters. Removing the appropriate import statements and associated function calls will not break the code, but require that Mie-parameters are explicitly supplied.

Setup

The package that can be installed with pip comes with a pre-compiled file KineticGas.so, compiled on MacOS 10.14.6.

Build for mac by running bash cpp/build_mac.sh from the top-level directory. The same script works for Linux, possibly with minor modifications. For Windows, may God be with you.

Install with pip by running pip install pykingas/ from the top-level directory after activating your python-installation of choice.

Usage

Initialize a KineticGas object with the desired components, compute diffusion coefficients, thermal diffusion coefficients and thermal conductivity with the respective functions in py_KineticGas.py

Acknowledgments and sources

This implementation of the Enskog solutions presented by Chapman and Cowling (The mathematical theory of non-uniform gases 2nd ed. Cambridge University Press, 1964) utilises the explicit summational expressions for the required bracket integrals published by Tompson, Tipton and Loyalka in Chapman–Enskog solutions to arbitrary order in Sonine polynomials IV: Summational expressions for the diffusion- and thermal conductivity-related bracket integrals, European Journal of Mechanics - B/Fluids, 28, 6, pp. 695 - 721, 2009.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pykingas-1.0.1.tar.gz (86.7 kB view details)

Uploaded Source

Built Distribution

pykingas-1.0.1-py3-none-any.whl (86.5 kB view details)

Uploaded Python 3

File details

Details for the file pykingas-1.0.1.tar.gz.

File metadata

  • Download URL: pykingas-1.0.1.tar.gz
  • Upload date:
  • Size: 86.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.2

File hashes

Hashes for pykingas-1.0.1.tar.gz
Algorithm Hash digest
SHA256 bef342f3abb72ff022bb3ac27625a7ccd7a7c8700da0afa7f911dcf14066c317
MD5 c5f8da853e6af7bad9ad2a39ada31f36
BLAKE2b-256 673d3a5a9def92d23ab9746d5edf58a20edb963d297fbb9848117aeacfea1340

See more details on using hashes here.

File details

Details for the file pykingas-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: pykingas-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 86.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.2

File hashes

Hashes for pykingas-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 fe028909ed5ac952aedb00b4528af2ce97b6159641ef60d22b2386cb41a7f978
MD5 43ec23144d199cc5e44cc841c8ef1ed7
BLAKE2b-256 408cf8f427e2096f39a20c21e5d03d0e98ecfaf493d75e6549249a1407cf91e0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page