Skip to main content
Article
A Statistically Based Pattern Approval Process
AFS Transactions (1996)
  • Leslie Potter, The Pennsylvania State University
  • R.C. Voigt, The Pennsylvania State University
  • F Peters, Pennsylvania State University
  • J Lies, Pennsylvania State University
  • M.J. Chandra, The Pennsylvania State University
Abstract
A method is presented to determine the number of first-article casting that must be run and inspected to insure that pattern dimensions changes are necessary and accurate. Insufficient information from too small a sample size can lead to unnecessary pattern adjustments, improper pattern dimensional changes and extra cost. The methodology presented is based on process variation and cast feature tolerances. These factors, along with process capability and Gage repeatablility and reproducibility (Gage R&R) considerations, are discussed detail.
In many cases, for given statistical factors, the first-article sample size for pattern approval of a feature with 0.0-0.2% process capability ratio is only one or two castings. For the same statistical factors and a process capability in the range of 0.6 or higher, more than 30 first-article castings must be produced to provide adequate information about pattern approval and adjustment. A complete explanation of the statistics behind this robust methodology is presented. A step-by-step procedure is also procedure for implementation.
Publication Date
1996
Publisher Statement
This article is published as L.A. Potter, R.C. Voigt, F.E. Peters, J.K. Lies, and M.J. Chandra, "A Statistically Based Pattern Approval Process," 1996 AFS Transactions, Vol. 104, pp.410- 421. Posted with permission.
Citation Information
Leslie Potter, R.C. Voigt, F Peters, J Lies, et al.. "A Statistically Based Pattern Approval Process" AFS Transactions Vol. 104 (1996) p. 410 - 421
Available at: http://works.bepress.com/leslie_potter/7/