nbud / arimtoolkit

Scripts for analysing arim datasets

arimtoolkit

Scripts for analysing arim datasets in ultrasonic testing

Dependencies: Python 3.6 or newer, arim, numpy, scipy, matplotlib, pyyaml, tqdm

Configuration template conf.TEMPLATE.yaml

Installation

pip install git+https://github.com/nbud/arimtoolkit.git

Alternatively, download zip of this repository, extract and run:

python setup.py install

Usage

Base structure of an arim analysis:

MyDataset.arim/
    conf.yaml         # Adapted from conf.TEMPLATE.yaml
    conf.d/           # Placeholder directory for extra conf files

Results are stored in the .arim dataset, including its conf.d directory.

Most scripts have the following flags:

-s, --save         Save results
--noshow           Do not open matplotlib figures
--paper            For paper-style figures (SVG/PDF, no title)

TFM on unknown dataset

python -m arimtoolkit.measure_probe_loc MyDataset.arim --save
python -m arimtoolkit.plot_interfaces MyDataset.arim --save
python -m arimtoolkit.measure_velocities_from_tfm MyDataset.arim --save
python -m arimtoolkit.uniform_tfm MyDataset.arim --save

Compare experimental and modelled defect intensities

python -m arimtoolkit.saturation MyDataset.arim --save
python -m arimtoolkit.measure_probe_loc MyDataset.arim --save
python -m arimtoolkit.plot_interfaces MyDataset.arim --save
python -m arimtoolkit.measure_velocities_from_tfm MyDataset.arim --save
python -m arimtoolkit.locate_defect MyDataset.arim --save
python -m arimtoolkit.plot_interfaces MyDataset.arim --save
python -m arimtoolkit.uniform_tfm MyDataset.arim --save
python -m arimtoolkit.measure_tfm_intensity MyDataset.arim --save
python -m arimtoolkit.adjust_toneburst MyDataset.arim --save
python -m arimtoolkit.measure_attenuation_from_tfm MyDataset.arim --save
python -m arimtoolkit.measure_model_scaling_from_tfm MyDataset.arim --save
python -m arimtoolkit.tfm_walls MyDataset.arim --save
python -m arimtoolkit.model_sensitivity MyDataset.arim --save
python -m arimtoolkit.model_full MyDataset.arim --save
python -m arimtoolkit.collect_intensities MyDataset.arim --save
python -m arimtoolkit.compare_tfm_intensities MyDataset.arim --save

Run sensitivity

python -m arimtoolkit.sensitivity MyDataset.arim --save