Statistical Tolerancing: The State of the Art, Part II. Methods for Estimating Moments

Article

Evans, David H.   (1975, ASQC)   Oakland University, Rochester, MI

Journal of Quality Technology    Vol. 7    No. 1
QICID: 5182    January 1975    pp. 1-12
List $10.00
Member $5.00

FOR A LIMITED TIME, ACCESS TO THIS CONTENT IS FREE!
You will need to be signed in.
New to ASQ? Register here.

Article Abstract

Part I of this paper was concerned with statistical tolerancing from the overall point of view. In particular it showed why and under what provisions one wants to find the distribution of the response of the mechanism being toleranced as a function of the tolerances of the components when they are random variables with known distributions. In Part II four general methods for estimating the moments of the response distribution are described: Section 1, linear propagation of error, otherwise known as stack tolerancing; Section 2, non-linear propagation of error; Section 3, the quadrature technique; and Section 4, the Monte Carlo approach. For each the realm of applicability and its advantages and disadvantages are examined. The use of each is illustrated by applying it to the same (-section attenuator as the mechanism being toleranced.

Keywords

Tolerances,Geometric Dimensioning and Tolerancing (GD&T),Propagation of errors,Moment estimation,Monte Carlo methods,Sampling plans


Browse QIC Articles Chronologically:     Previous Article     Next Article

New Search

Featured advertisers





ASQ is a global community of people passionate about quality, who use the tools, their ideas and expertise to make our world work better. ASQ: The Global Voice of Quality.