Inspecting geometric tolerances: Uncertainty analysis in position tolerances control on Coordinate Measuring Machines

Daniele Romano () and Grazia Vicario ()
Additional contact information
Daniele Romano: Università di Cagliari
Grazia Vicario: Politecnico di Torino

Statistical Methods & Applications, 2002, vol. 11, issue 1, No 5, 83-94

Abstract: Abstract Conformance to a specified part geometry is key to achieve product quality. Geometric tolerance control on Coordinate Measuring Machines is a critical issue as parsimony in the set of probed points dictated by economic considerations conflicts with the requirement of full field inspection mandated by tolerance standards. Evaluation of uncertainty originated by sampling errors takes therefore a high priority level. The case of position tolerance control on a hole axis and related uncertainty analysis is examined in the paper via Monte Carlo simulation. Results exhibit a remarkable uncertainty related to a number of steps involved in the control method. A comprehensive statistical analysis is shown to be required if risk of failure to reach the correct decision in assessing part conformance is to be kept under control.

Keywords: Product quality; tolerance inspection; uncertainty; CMM; Monte Carlo simulation (search for similar items in EconPapers)
Date: 2002
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/BF02511447 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:stmapp:v:11:y:2002:i:1:d:10.1007_bf02511447

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10260/PS2

DOI: 10.1007/BF02511447

Access Statistics for this article

Statistical Methods & Applications is currently edited by Tommaso Proietti

More articles in Statistical Methods & Applications from Springer, Società Italiana di Statistica
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().