Statistical Tolerancing

Evans, D. H. (1974). Statistical Tolerancing: The State of the Art: Part I. Background. Journal of Quality Technology, 6(4), 188-195.

Type

Journal article

Intellectual base

Primary research

Year

1974

Volume

6

Issue

4

Pages

188-195

DOI

10.1080/00224065.1974.11980646

DOI registrant

Taylor & Francis

Link

https://www.tandfonline.com/doi/abs/10.1080/00224065.1974.11980646

Cited from

engineering_design

Cited by

1 citation across 1 artifact.

Each citation links to the sentence it supports in the citing article.

Primes

• Engineering Tolerances
  • The tolerance-stack-up mathematical model propagating component-level variation through assemblies to predict system-level tolerance

    This sourceReviews statistical tolerancing and stack-up methods (linear/nonlinear error propagation, numerical integration, Monte Carlo) — supports the tolerance-stack-up model (D34-033), the Monte-Carlo statistical-stack-up example (D34-039), and worst-case-vs-statistical stack-up (D34-043).

    SupportedVerified against the publisher's abstract

    The paper's own abstract names 'stack tolerancing or linear propagation of errors' as the method for deriving a mechanism's response distribution from component tolerance distributions.

    “the problem of ascertaining the distribution of the response of a mechanism for given component tolerance distributions and 2) the problem due to the shifting and drifting of component tolerance distributions.Four methods are reviewed for the first: a) stack tolerancing or linear propagation of errors, b) nonlinear propagation of errors, c) numerical integration or quadrature, and d) Monte Carlo.”

    Read by an automated reader; not a human review. How support was checked

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Registry ID ref:0e2601817bf1 · see in the full table