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    Calculates locally in your browser · worst case and RSS
    Tolerancing / stack-up

    Tolerance stack-up calculator

    A tolerance stack tells you how much variation five parts add up to. The worst-case method assumes every part sits at its limit at once; the statistical method combines them in quadrature. This calculator shows both, and how much the statistical assumption buys you.

    Components5MethodRSSLimit±0.50
    Stack nominal
    100.00 mm
    Sum of the component nominals
    Worst-case tolerance
    ±0.500 mm
    Every part at its extreme at once
    Statistical tolerance
    ±0.224 mm
    Root-sum-square, assuming ±t = 3σ
    Tightening factor
    2.24×
    How much tighter the statistical stack is
    Component contributions
    Each part’s tolerance and its share of the total variance.
    ±0.50 mm
    Component contributions
    PartNominalToleranceShare of variance
    Part 110.00 mm±0.10020.0%
    Part 220.00 mm±0.10020.0%
    Part 330.00 mm±0.10020.0%
    Part 415.00 mm±0.10020.0%
    Part 525.00 mm±0.10020.0%

    A part with twice the tolerance carries four times the variance.

    Inspect the model
    Choose a quick result view, a scaled comparison, or the complete diagnostic set.
    Tolerance against part count
    Worst case grows linearly; the statistical stack grows with the square root.
    Tolerance against part count0.0000.2240.4480.6720.8961.121122334455667788991010Worst caseRSS
    Stack limits
    Nominal with the worst-case and statistical bands.
    Stack limits0.00023.7247.4471.1594.87118.5999.50Lower (WC)Lower (WC)100.00NominalNominal100.50Upper (WC)Upper (WC)100.22Upper (RSS)Upper (RSS)mm
    Canonical equations
    The exact relationships implemented by this engine.

    T_wc = Σ t_i · Assumes every part at its limit simultaneously.

    T_rss = √(Σ t_i²) · Valid when the parts are independent and centred.

    t_i² / Σ t_j² · Tolerance contributes quadratically.

    engineering methodology

    A clear path from inputs to results.

    A tolerance stack tells you how much variation five parts add up to. The worst-case method assumes every part sits at its limit at once; the statistical method combines them in quadrature. This calculator shows both, and how much the statistical assumption buys you.

    Step-by-step methodWorked exampleAssumptions explained

    How to use

    1. Enter the nominal size and tolerance for each part.
    2. Read the worst-case stack.
    3. Compare it with the root-sum-square stack.
    4. Use the variance shares to see which part dominates.

    The formula

    Twc=∑ti,Trss=∑ti2T_{wc} = \sum t_i, \qquad T_{rss} = \sqrt{\sum t_i^2}

    Reference: Worst-case (arithmetic) and statistical (root-sum-square) tolerance analysis, standard practice in mechanical design.

    Worked example

    Five parts, each ±0.1 mm

    Inputs
    • Nominals 10, 20, 30, 15, 25 mm.
    • Every tolerance ±0.10 mm.
    Calculation path
    1. 1

      Nominal stack: 100.00 mm.

    2. 2

      Worst case: ±(0.1 × 5) = ±0.50 mm.

    3. 3

      RSS: √(5 × 0.01) = ±0.2236 mm.

    4. 4

      The statistical stack is 2.24× tighter.

    5. 5

      Each part contributes 20% of the variance.

    Result

    Nominal 100.00 · worst case ±0.500 · RSS ±0.224 (2.24× tighter).

    Interpreting the result

    Worst case is free of statistics but expensive: it assumes five independent parts all sit at their extreme simultaneously, which is very unlikely. RSS is the standard compromise, but it assumes the processes are centred and independent. If one part drifts, the statistical answer is optimistic and the worst case is the honest one.

    Assumptions & limitations

    • Symmetric tolerances about the nominal.
    • RSS assumes independent, centred, normally distributed dimensions at ±3σ.
    • No allowance for thermal expansion or assembly shift.

    Frequently asked questions

    When should I use worst case?

    For safety-critical assemblies, very low volume, or when the processes are not statistically controlled.

    Does RSS guarantee parts fit?

    No. It predicts a small fraction outside the limits — typically about 0.3% at ±3σ for the combined distribution.

    What does the tightening factor mean?

    How much smaller the statistical tolerance is than the arithmetic one. It grows with the square root of the part count.

    Methodology last reviewed 2026-10-21. Results are informational and not financial or engineering advice — see our disclaimer.