tolerance-stackup

Solid

Skill for dimensional tolerance analysis and stack-up calculations

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Tolerance Stack-Up Analysis Skill ## Purpose The Tolerance Stack-Up Analysis skill provides capabilities for dimensional tolerance analysis and stack-up calculations, enabling verification of assembly fits and functional requirements through systematic tolerance chain analysis. ## Capabilities - Worst-case tolerance analysis - Statistical (RSS) tolerance analysis - Monte Carlo tolerance simulation - GD&T-based stack-up analysis - Assembly feasibility verification - Tolerance allocation optimization - CETOL/3DCS integration - Stack-up report generation ## Usage Guidelines ### Tolerance Analysis Methods #### Method Comparison | Method | Approach | Application | Result | |--------|----------|-------------|--------| | Worst-case | All tolerances at limit | Safety critical | Maximum variation | | RSS | Statistical combination | High volume production | Probable variation | | Monte Carlo | Random sampling | Complex assemblies | Distribution | | 6-Sigma | Process capability | Quality control | Defect rate | ### Worst-Case Analysis #### Linear Stack-Up ``` Gap = Nominal gap +/- sum of all tolerances For a simple assembly: Gap_min = Nominal - sum(all positive contributors) Gap_max = Nominal + sum(all negative contributors) Or using sensitivity: Gap = sum(ai * xi) Tolerance = sum(|ai| * ti) Where: ai = sensitivity coefficient (+1 or -1) xi = nominal dimension ti = tolerance on dimension i ``` #### Direction Convention ``` Define positive direction: - Dimensions adding...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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