PPolySim OS

Tolerance Stack-Up

Stack a few parts together and their tolerances add up — but how you add them changes everything, and how much precision each part really needs.

Tolerance Stack-UpLive

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When parts stack in an assembly, their tolerances accumulate. Worst-case analysis simply adds them — safe but pessimistic, since all parts rarely hit their extremes together. Statistical (root-sum-square) analysis adds them in quadrature, giving a much tighter, more realistic range. Choosing between them decides how much precision — and cost — each part really needs.

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Data Inspector

Worst-case total±0.50 mm
Statistical (RSS)±0.22 mm
RSS savings55% tighter

Governing equation

Reading this result: Across 5 parts, RSS (±0.22 mm) is 55% tighter than the worst-case ±0.50 mm — enough headroom to relax individual part tolerances and cut cost.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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How it works

Worst-case tolerance analysis simply sums all part tolerances, guaranteeing fit but assuming every part hits its extreme at once — rare in practice. Statistical root-sum-square analysis adds tolerances in quadrature for a much tighter, realistic range. Choosing between them balances assembly reliability against the cost of tight manufacturing tolerances.

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Frequently asked questions

Is this tolerance stack-up calculator tool really free?▾
Yes. Tolerance Stack-Up runs entirely in your browser using your device's own compute, so local use is free forever. You only pay Compute Tokens if you scale a job to the cloud.
Do I need to install anything?▾
No. Everything runs client-side in a modern browser — no downloads, no license, no account required to start.
Can I save or share my simulation?▾
Create a free account to save projects, and use a shareable embed or minted DOI to publish a live, interactive version anywhere.
How accurate are the results?▾
The solver uses established numerical methods, but results are for research and educational purposes and should be validated against experiment or professional review before you rely on them.