dimstack
Python library for 1D statistical tolerancing analysis and design.
PyPI: https://pypi.org/project/dimstack/
Docs: https://phcreery.github.io/dimstack/
Example (MIT Calc Demonstration Analysis)
import dimstack as ds
ds.display.mode(ds.display.DisplayMode.RICH)
k = 0.25
target_process_sigma = 3
std_dev = 0.036 / target_process_sigma
m1 = dim = ds.dim.Basic(
nom=208,
tol=ds.tol.Bilateral.symmetric(0.036),
name="a",
desc="Shaft",
).review(
distribution=ds.dist.Normal(208 + k * target_process_sigma * std_dev, std_dev),
)
m2 = dim = (
ds.dim.Basic(
nom=-1.75,
tol=ds.tol.Bilateral.unequal(0, 0.06),
name="b",
desc="Retainer ring",
)
.review()
.assume_normal_dist(3)
)
m3 = dim = (
ds.dim.Basic(
nom=-23,
tol=ds.tol.Bilateral.unequal(0, 0.12),
name="c",
desc="Bearing",
)
.review()
.assume_normal_dist(3)
)
m4 = dim = (
ds.dim.Basic(
nom=20,
tol=ds.tol.Bilateral.symmetric(0.026),
name="d",
desc="Bearing Sleeve",
)
.review()
.assume_normal_dist(3)
)
m5 = dim = (
ds.dim.Basic(
nom=-200,
tol=ds.tol.Bilateral.symmetric(0.145),
name="e",
desc="Case",
)
.review()
.assume_normal_dist(3)
)
m6 = ds.dim.Basic(
nom=20,
tol=ds.tol.Bilateral.symmetric(0.026),
name="f",
desc="Bearing Sleeve",
)
m7 = dim = (
ds.dim.Basic(
nom=-23,
tol=ds.tol.Bilateral.unequal(0, 0.12),
name="g",
desc="Bearing",
)
.review()
.assume_normal_dist(3)
)
items = [m1, m2, m3, m4, m5, m7]
stack = ds.dim.ReviewedStack(name="stacks on stacks", dims=items)
stack.to_basic_stack().show()
stack.show()
ds.calc.Closed(stack).show()
ds.calc.WC(stack).show()
ds.calc.RSS(stack).show()
ds.calc.MRSS(stack).show()
designed_for = ds.calc.SixSigma(stack, at=4.5)
designed_for.show()
spec = ds.dim.Requirement("stack spec", "", distribution=designed_for.distribution, LL=0.05, UL=0.8)
spec.show()
ds.plot.StackPlot().add(stack).add(ds.calc.RSS(stack)).show()
Returns:
DIMENSION STACK: stacks on stacks
┏━━━━┳━━━━━━┳━━━━━━━━━━━━━━━━┳━━━┳━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┓
┃ ID ┃ Name ┃ Desc. ┃ ± ┃ Nom. ┃ Tol. ┃ Sens. (a) ┃ Abs. Bounds ┃
┡━━━━╇━━━━━━╇━━━━━━━━━━━━━━━━╇━━━╇━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━┩
│ 0 │ a │ Shaft │ + │ 208.0 │ ± 0.036 │ 1 │ [207.964, 208.036] │
│ 1 │ b │ Retainer ring │ - │ 1.75 │ +0.06 / +0 │ 1 │ [-1.81, -1.75] │
│ 2 │ c │ Bearing │ - │ 23.0 │ +0.12 / +0 │ 1 │ [-23.12, -23] │
│ 3 │ d │ Bearing Sleeve │ + │ 20.0 │ ± 0.026 │ 1 │ [19.974, 20.026] │
│ 4 │ e │ Case │ - │ 200.0 │ ± 0.145 │ 1 │ [-200.145, -199.855] │
│ 5 │ f │ Bearing Sleeve │ + │ 20.0 │ ± 0.026 │ 1 │ [19.974, 20.026] │
│ 6 │ g │ Bearing │ - │ 23.0 │ +0.12 / +0 │ 1 │ [-23.12, -23] │
└────┴──────┴────────────────┴───┴───────┴────────────────┴───────────┴──────────────────────┘
REVIEWED DIMENSION STACK: stacks on stacks
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┓
┃ Dim. ┃ Dist. ┃ Shift (k) ┃ C_p ┃ C_pk ┃ μ_eff ┃ σ_eff ┃ Eff. Sigma ┃ Yield Prob. ┃ Reject PPM ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━┩
│ 0: a Shaft + 208 ± 0.036 │ Normal Dist. μ=208.009, σ=0.012 │ 0.25 │ 1.0 │ 0.75 │ 208.0 │ 0.016 │ ± 2.25σ │ 98.76871101 │ 12312.89 │
│ 1: b Retainer ring - 1.75 +0.06 / +0 │ Normal Dist. μ=-1.78, σ=0.01 │ 0.0 │ 1.0 │ 1.0 │ -1.78 │ 0.01 │ ± 3.0σ │ 99.73002039 │ 2699.8 │
│ 2: c Bearing - 23 +0.12 / +0 │ Normal Dist. μ=-23.06, σ=0.02 │ 0.0 │ 1.0 │ 1.0 │ -23.06 │ 0.02 │ ± 3.0σ │ 99.73002039 │ 2699.8 │
│ 3: d Bearing Sleeve + 20 ± 0.026 │ Normal Dist. μ=20.0, σ=0.00867 │ 0.0 │ 1.0 │ 1.0 │ 20.0 │ 0.00867 │ ± 3.0σ │ 99.73002039 │ 2699.8 │
│ 4: e Case - 200 ± 0.145 │ Normal Dist. μ=-200.0, σ=0.04833 │ 0.0 │ 1.0 │ 1.0 │ -200.0 │ 0.04833 │ ± 3.0σ │ 99.73002039 │ 2699.8 │
│ 5: f Bearing Sleeve + 20 ± 0.026 │ Normal Dist. μ=20.0, σ=0.00867 │ 0.0 │ 1.0 │ 1.0 │ 20.0 │ 0.00867 │ ± 3.0σ │ 99.73002039 │ 2699.8 │
│ 6: g Bearing - 23 +0.12 / +0 │ Normal Dist. μ=-23.06, σ=0.01 │ 0.0 │ 2.0 │ 2.0 │ -23.06 │ 0.01 │ ± 6.0σ │ 99.9999998 │ 0.0 │
└───────────────────────────────────────────────────┴──────────────────────────────────┴───────────┴─────┴──────┴────────┴─────────┴────────────┴─────────────┴────────────┘
DIMENSION: stacks on stacks - Closed Analysis
┏━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━┳━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓
┃ ID ┃ Name ┃ Desc. ┃ ± ┃ Nom. ┃ Tol. ┃ Sens. (a) ┃ Abs. Bounds ┃
┡━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━╇━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩
│ 7 │ stacks on stacks - Closed Analysis │ │ + │ 0.25 │ +0.233 / -0.533 │ 1 │ [-0.283, 0.483] │
└────┴────────────────────────────────────┴───────┴───┴──────┴─────────────────┴───────────┴─────────────────┘
DIMENSION: stacks on stacks - WC Analysis
┏━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━┳━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓
┃ ID ┃ Name ┃ Desc. ┃ ± ┃ Nom. ┃ Tol. ┃ Sens. (a) ┃ Abs. Bounds ┃
┡━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━╇━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩
│ 8 │ stacks on stacks - WC Analysis │ │ + │ 0.1 │ ± 0.383 │ 1 │ [-0.283, 0.483] │
└────┴────────────────────────────────┴───────┴───┴──────┴────────────────┴───────────┴─────────────────┘
DIMENSION: stacks on stacks - RSS Analysis
┏━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━┳━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┓
┃ ID ┃ Name ┃ Desc. ┃ ± ┃ Nom. ┃ Tol. ┃ Sens. (a) ┃ Abs. Bounds ┃
┡━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━╇━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━┩
│ 9 │ stacks on stacks - RSS Analysis │ (assuming inputs with Normal Dist. & uniform SD) │ + │ 0.1 │ ± 0.17825 │ 1 │ [-0.07825, 0.27825] │
└────┴─────────────────────────────────┴──────────────────────────────────────────────────┴───┴──────┴────────────────┴───────────┴─────────────────────┘
DIMENSION: stacks on stacks - MRSS Analysis
┏━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━┳━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┓
┃ ID ┃ Name ┃ Desc. ┃ ± ┃ Nom. ┃ Tol. ┃ Sens. (a) ┃ Abs. Bounds ┃
┡━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━╇━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━┩
│ 10 │ stacks on stacks - MRSS Analysis │ (assuming inputs with Normal Dist. & uniform SD) │ + │ 0.1 │ ± 0.24046 │ 1 │ [-0.14046, 0.34046] │
└────┴──────────────────────────────────┴──────────────────────────────────────────────────┴───┴──────┴────────────────┴───────────┴─────────────────────┘
REVIEWED DIMENSION: stacks on stacks - '6 Sigma' Analysis
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━┳━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┓
┃ Dim. ┃ Dist. ┃ Shift (k) ┃ C_p ┃ C_pk ┃ μ_eff ┃ σ_eff ┃ Eff. Sigma ┃ Yield Prob. ┃ Reject PPM ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━╇━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━┩
│ 11: stacks on stacks - '6... + 0.1 ± 0.26016 │ Normal Dist. μ=0.1, σ=0.05781 │ 0.0 │ 1.5 │ 1.5 │ 0.1 │ 0.05781 │ ± 4.5σ │ 99.99932047 │ 6.8 │
└──────────────────────────────────────────────────┴───────────────────────────────┴───────────┴─────┴──────┴───────┴─────────┴────────────┴─────────────┴────────────┘
REQUIREMENT: stack spec
┏━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Desc. ┃ Distribution ┃ Median ┃ Spec. Limits ┃ Yield Prob. ┃ Reject PPM ┃
┡━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━┩
│ stack spec │ │ Normal Dist. μ=0.1, σ=0.05781 │ 0.425 │ [0.05, 0.8] │ 80.64418072 │ 193558.19 │
└────────────┴───────┴───────────────────────────────┴────────┴──────────────┴─────────────┴────────────┘
Usage
dimstack works great as a library in a python script, in REPL, or in JupyterLab.
and Notebook setup
%pip install -q dimstack
Development
Testing
uv run python -m unittest
Documenting
python -m mkdocs build
python -m mkdocs serve
python -m mkdocs gh-deploy
uv run mkdocs build
uv run mkdocs serve
uv run mkdocs gh-deploy
Deploying
First bump version in pyproject.toml, then
uv build
uv publish
Acknowledgements
- https://d2t1xqejof9utc.cloudfront.net/files/147765/Dimensioning%20and%20Tolerancing%20Handbook.pdf?1541238602
- http://www.newconceptzdesign.com/stackups/
- https://github.com/slightlynybbled/tol-stack
- https://www.mitcalc.com/doc/tolanalysis1d/help/en/tolanalysis1d.htm
- https://clas.iusb.edu/math-compsci/_prior-thesis/YFeng_thesis.pdf
- https://ris.utwente.nl/ws/portalfiles/portal/6632975/Salomons96computer1.pdf
- https://ris.utwente.nl/ws/files/6632926/Salomons96computer2.pdf
Metadata
Release files for dimstack 0.9.0
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A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.