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Purpose

Library intended for easy mechanical tolerance analysis using Monte-Carlo-based simulation techniques.

Gallery

Length Stackup Analysis

Run the below script to display the plots below

parts = [
    Part(name='part0',
         nominal_length=1.0,
         tolerance=0.01,
         size=size
        ),
    Part(name='part1',
         distribution='skew-norm',
         skewiness=3,
         nominal_length=2.0,
         tolerance=0.01,
         size=size
        ),
    Part(name='part2',
        nominal_length=-2.98,
        tolerance=0.02,
        concentricity=0.005,
        size=size
        )
]

sp = StackPath(max_length=0.05, min_length=0.00, concentricity=0.05)
for part in parts:
    sp.add_part(part)

sp.show_part_relative_dists()
sp.show_length_dist()

plt.show()

Relative Part Distribution Plot

Stackup Analysis

True Position Analysis

parts = [
    Part(name='part0',
         concentricity=0.005,
         limits=1.02,
         size=size
         ),
    Part(name='part1',
         concentricity=0.003,
         limits=2.02,
         size=size
         ),
    Part(
        name='part2',
        concentricity=0.008,
        size=size
    )
]

sp = StackPath(concentricity=0.01)
for part in parts:
    sp.add_part(part)

sp.show_concentricity_dist()

plt.show()

True Position Analysis

Installation

At the moment, the best scenario is to download a copy of this repository and execute directly. More deployment options will be presented as the API matures.

Project Maturity

The project API is not currently stable and will likely continue to evolve until I like it.

Feature Roadmap

  • Single-dimension stackups - The simplest and most common of stackups; i.e. length.
  • Concentricity stackups - Typically, center-to-center on a plane.
  • Material properties
    • Temperature-based stackup based on CTE of materials
  • Intuitive Python interface - This is currently being worked out.
  • Similar YAML interface - Should be readably compatible with the Python interface.
  • Report generator
  • Deployment as executable (command-line) YAML
  • Deployment as executable (GUI) ?
  • Deployment to PyPI?