Form Error Estimation Using Spatial Statistics

[+] Author and Article Information
Tai-Hung Yang, John Jackman

Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA 50011

J. Manuf. Sci. Eng 122(1), 262-272 (Aug 01, 1999) (11 pages) doi:10.1115/1.538903 History: Received May 01, 1997; Revised August 01, 1999
Copyright © 2000 by ASME
Topics: Errors
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Yang,  T. H., and Jackman,  J., 1997, “A Probabilistic View of Problems in Form Error Estimation,” ASME J. Manuf. Sci. Eng. 119, No. 3, pp. 375–382.
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Sample points (100) taken from the bored surface
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Variograms and correlograms for 100 data points. (a) and (b) Sample points; (c) and (d) residuals from first-order surface; and (e) and (f ) residuals from second-order surface.
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Fitted surface (a) and standard error of the prediction error (b) for exponential model with ae=8.
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Fitted surface (a) and standard error of the prediction error (b) for wave model with aw=5
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Histogram of deviations from minimum zone mean profile
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Correlograms obtained from 1000 points on each surface. (a) End milling; (b) grinding; (c) fly cut; (d) boring; and (e) shaping.
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Correlograms of 100 and 25 points from boring surface
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Universal kriging result of 100 sampling points taken from surface bocl 1
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Flatness error estimation




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