micromechanics 1.3.4

Investigation of nanoindentation and SEM data

Micromechanics library for experimental micromechanics

This library allows to read datafiles from different nanoindenters and allows to analyse it by evaluating the hardness and Young's modulus using the Oliver-Pharr method. It also includes functions for frame stiffness and area function calibration as well as a number of plotting functions. Additionally the library allows to read SEM images and optimize them

The library can read:

• xls files from the vendors MTS, Agilent, Keysight, which produced the XP and G200 indenters
• txt files from FischerScope
• zip-files which include all the txt files of the Micromaterials NanoXtreme
• HDF5 files produced by the supported converters/common format
• Tif images from Zeiss, NPVE and FEI/ThermoFischer

Install by

pip install micromechanics

Run test using the default data

from micromechanics.indentation import Indentation
i = Indentation()
i.plotAll()

Alternatively, for Tif images

from micromechanics.tif import Tif

More information as well as tutorials can be found at: Read the docs

If you want to contribute to the development, we develop at github

Contributors

• Steffen Brinckmann
• Velislava Yonkova
• Ruomeng (Nicole) Chen

Information for developers

Test the code: linting, documentation and then the tests from project main directory

pylint $(git ls-files 'micromechanics/*/*.py')
mypy micromechanics
make -C docs html

These tests are also executed as github action once pushed.

or the short form to run all the tests

python -m unittest tests/test*

For convenience, all tests in one bash command

Check test coverage, including package code and the example files in docs/source/examples

python -m coverage erase
MPLBACKEND=Agg python -W ignore::UserWarning -m coverage run -m unittest tests/test* > coverage.txt
for f in docs/source/examples/plot_*.py; do MPLBACKEND=Agg python -W ignore::UserWarning  -m coverage run --append "$f" >> coverage.txt; done
grep -P 'ERROR|Error|\*\*ERROR\*\*' coverage.txt

Coverage report for LLMs

python -m coverage report -m

For an HTML coverage report, run

python -m coverage html