matmech 1.0.6

A library for analyzing data from universal test machines.

matmech

Overview

The matmech Python library processes, analyzes, and visualizes mechanical testing data (e.g., from Instron devices using WaveMatrix or BlueHill software).

It automates the workflow from:

• Raw CSV import
• Standardized data cleanup
• Phase-based analysis
• Graph generation (static and animated)

Supported Features

• Axial Stress–Strain calculations (rectangular cross-sections)
• Torsional Shear Stress–Strain calculations (rectangular cross-sections)
• Multi-phase test segmentation by time
• Plotting with autoscaling, linear fits, and animations

Library Structure

matmech/
│
├── __init__.py             # Package initialization
├── common_utils.py         # General utility functions like data loading and splitting
├── axial_analysis.py       # Functions for calculating axial material properties
├── torsional_analysis.py   # Functions for calculating torsional material properties
├── plotting_tools.py       # Functions for generating static and animated plots
├── config_defaults.py      # Default configurations and registries for software profiles, data columns, and plot settings
└── workflow.py             # Orchestrates the entire data analysis process

Installation

To install the matmech package, navigate to the root of the matmech repository and install it in editable mode within your development environment:

pip install -e .

This command installs the package in "editable" mode, meaning that changes to the source code in your matmech repository will immediately affect the installed package without needing to reinstall.

Requirements

The core matmech library requires the following Python packages, which will be installed automatically:

• pandas
• numpy
• matplotlib

Optional Dependencies:

• Animation Output (.mp4): For generating animated plots, ffmpeg is required. This is a system dependency, not a Python package.
  • On Ubuntu/Debian, install it using: sudo apt install ffmpeg
  • On Windows, download it from the FFmpeg website and add it to your system's PATH.
• Development/Testing: For running tests, pytest is required. Install it with:

  pip install -e ".[dev]"
  

How It Works

1. Loads raw CSV data from ./data/ (relative to the calling script).
2. Standardizes column names and units (based on selected software profile).
3. Splits data into segments by time (based on test recipe).
4. Applies phase-specific analysis functions (axial or torsional).
5. Generates static and/or animated plots saved to ./graphs/.

Example Directory Layout

matmech/
│
├── data/
│   └── my_test_run.csv
│
├── matmech/
│   └── (library modules...)
│
└── main.py

Full Example: main.py

The following example shows ALL available configuration options.

import os
from matmech.workflow import run_analysis_workflow

if __name__ == "__main__":
    # Path configuration
    SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))

    user_config = {
        # --- Software Profile (choose 'wavematrix' or 'bluehill') ---
        "software_type": "bluehill",

        # --- Input CSV file name (inside ./data) ---
        "data_file_name": "my_test_run.csv",

        # --- Geometry (in millimeters) ---
        "geometry": {
            "axial_width_mm": 10.0,
            "axial_thickness_mm": 2.0,
            "gauge_length_mm": 25.0,
            "torsional_side1_mm": 10.0,
            "torsional_side2_mm": 5.0
        },

        # --- Optional inversion and taring settings ---
        "inversion_flags": {
            "force": False,
            "torque": False
        },
        "tare_options": {
            "position": True,
            "force": True
        },

        # --- Test Phases (with end times in seconds) ---
        "test_recipe": [
            {"name": "Axial Calibration", "end_time": 5.0, "type": "AXIAL"},
            {"name": "Torsion Loading", "end_time": 10.0, "type": "TORSIONAL"}
        ],

        # --- Plot definitions ---
        "plots": [
            # Static plot with fit
            {
                "title": "Axial Stress vs. Axial Strain ({phase_name})",
                "output_filename": "axial_stress_strain_{phase_name}",
                "phases": ["Axial Calibration"],
                "x_col": "axial_strain",
                "y_col": "axial_stress",
                "fit_line": True,
                "fit_bounds": (0.0, 0.002),
                "x_units": "auto",
                "y_units": "auto",
                "type": "static"
            },

            # Animated plot
            {
                "title": "Shear Stress vs. Shear Strain ({phase_name})",
                "output_filename": "shear_stress_strain_{phase_name}",
                "phases": ["Torsion Loading"],
                "x_col": "shear_strain",
                "y_col": "shear_stress",
                "type": "animated",
                "animation_options": {
                    "target_duration_s": 8,
                    "target_fps": 24,
                    "snap_x_to_zero": True,
                    "snap_y_to_zero": True
                }
            }
        ]
    }

    # Run the full workflow
    run_analysis_workflow(SCRIPT_DIR, user_config)

Configuration Reference

Key	Type	Description
software_type	str	"wavematrix" or "bluehill"
data_file_name	str	Name of the CSV file inside ./data/
geometry	dict	Required dimensions for calculations (in millimeters)
inversion_flags	dict	Optional channel sign reversals (force, torque)
tare_options	dict	Taring channels to zero at start (position, force)
test_recipe	list	Phases with "name", "end_time" (seconds), "type"
plots	list	One or more plot configs, may include animation
fit_bounds	tuple	(x_min, x_max) bounds for linear fitting
animation_options	dict	Parameters for animations (fps, duration, snap_to_zero)

Output Files

All output graphs and videos are written to: ./graphs/

Files include:

• *.png (static plots)
• *.mp4 (animated plots)

Logging

Progress and analysis info will appear as console logs, including steps such as:

• File loading
• Data standardization
• Axial/Torsional calculations
• Linear modulus fitting results
• Plot saving

Example Log Output

INFO: Using software profile: 'bluehill'
INFO: Loading data from: my_test_run.csv
INFO: Axial stress calculated.
INFO: Linear Fit Analysis — Modulus: 1.98 GPa
INFO: Static plot saved to: axial_stress_strain_Axial Calibration.png
INFO: Animation saved: shear_stress_strain_Torsion Loading.mp4

Extending the Library

To register a new analysis type:

1. Create a new module function:

   def my_new_analysis(df, geometry):
       # ... implement analysis logic ...
       return df
   

2. Add it to the registry in matmech/workflow.py:

   ANALYSIS_REGISTRY["NEW_TYPE"] = my_new_analysis
   

3. Reference it in your test_recipe:

   {"name": "My New Phase", "end_time": 12.0, "type": "NEW_TYPE"}
   

Notes

• The data column naming conventions differ between software types. The file matmech/config_defaults.py defines these profiles for both WaveMatrix and BlueHill.
• Axis units and autoscaling are handled automatically but can be overridden per plot.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Copyright (c) 2025 Mitchell Blaha