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A multiple linear regression analysis of hot corrosion attack on a series of nickel base turbine alloysMultiple linear regression analysis was used to determine an equation for estimating hot corrosion attack for a series of Ni base cast turbine alloys. The U transform (i.e., 1/sin (% A/100) to the 1/2) was shown to give the best estimate of the dependent variable, y. A complete second degree equation is described for the centered" weight chemistries for the elements Cr, Al, Ti, Mo, W, Cb, Ta, and Co. In addition linear terms for the minor elements C, B, and Zr were added for a basic 47 term equation. The best reduced equation was determined by the stepwise selection method with essentially 13 terms. The Cr term was found to be the most important accounting for 60 percent of the explained variability hot corrosion attack.
Document ID
19850022971
Acquisition Source
Legacy CDMS
Document Type
Technical Memorandum (TM)
Authors
Barrett, C. A. (NASA Lewis Research Center Cleveland, OH, United States)
Date Acquired
September 5, 2013
Publication Date
July 1, 1985
Subject Category
Metallic Materials
Report/Patent Number
NASA-TM-87020
NAS 1.15:87020
E-2491
Accession Number
85N31284
Funding Number(s)
PROJECT: RTOP 505-33-62
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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