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Book Chapter

By Richard C. Rice
Series: ASM Handbook
Volume: 8
Publisher: ASM International
Published: 01 January 2000
DOI: 10.31399/asm.hb.v08.a0009212
EISBN: 978-1-62708-176-4
... Abstract This article discusses statistical concepts that form the basis of most of the following articles on specific areas of applied statistics and data analysis. It reviews some of the basic concepts that must be understood to successfully apply the statistical procedures, including...
Book Chapter

By Alan P. Berens
Series: ASM Handbook
Volume: 8
Publisher: ASM International
Published: 01 January 2000
DOI: 10.31399/asm.hb.v08.a0009217
EISBN: 978-1-62708-176-4
... Abstract Fatigue crack growth rate testing and data analysis are performed to characterize the crack propagation resistance of material environment combinations in order to predict crack growth life under anticipated stress histories. This article presents analyses performed on the numerical...
Book Chapter

By Richard C. Rice
Series: ASM Handbook
Volume: 8
Publisher: ASM International
Published: 01 January 2000
DOI: 10.31399/asm.hb.v08.a0009219
EISBN: 978-1-62708-176-4
... or strain levels are included. The article also summarizes the consolidation of fatigue data generated at different conditions. fatigue curve fatigue data analysis fatigue resistance fatigue strength strength degradation model FATIGUE DATA are subject to considerable scatter or variability...
Image
Published: 01 January 1986
Fig. 9 Typical EXAFS data analysis. (a) Experimental scan of nickel K-edge EXAFS in pure nickel at 90 K. The dotted line denotes a spline fit of the smooth post-edge background absorption above the absorption edge. (b) Normalized EXAFS plotted as χ · k versus k, with a Hanning window applied More
Image
Published: 15 December 2019
Fig. 7 Typical extended x-ray absorption fine structure (EXAFS) data analysis. (a) Experimental scan of nickel K-edge EXAFS in pure nickel at 90 K. The broken line denotes a spline fit of the smooth post-edge background absorption above the absorption edge. (b) Normalized EXAFS plotted as χ More
Book Chapter

By M.K. Booker
Series: ASM Handbook
Volume: 8
Publisher: ASM International
Published: 01 January 2000
DOI: 10.31399/asm.hb.v08.a0009218
EISBN: 978-1-62708-176-4
... Abstract This article presents typical problems encountered in the analysis of experimental creep and creep-rupture data and the possible solutions to these drawbacks. It provides information on planning the test and creep strain/time relationships. The exponential creep equation...
Image
Published: 01 January 2003
Fig. 11 Analysis of electrochemical noise data for an epoxy polyamide coating system exposed to artificial seawater for 780 days. (a) Voltage fluctuation with time V ( t ). (b) Current fluctuation with time, I ( t ). (c) Voltage power spectral density, PSD, versus log of frequency, f. (d More
Image
Published: 01 December 1998
Fig. 17 Analysis of creep data. Creep behavior of 2 1 4 Cr-1Mo steel tested at 540 °C (1000 °F). (a) Creep strain-time plot; constant-stress lines have been drawn parallel. (b) Stress-creep strain plot. (c) Stress-time plot; constant-strain lines have been drawn parallel. (d More
Image
Published: 01 January 2000
Fig. 7 Weibull analysis with RCF test data More
Image
Published: 01 January 2000
Fig. 1 Yates method of analysis using data from Table 1 More
Image
Published: 01 January 2000
Fig. 4 Yates method of analysis using data given in Table 4 More
Image
Published: 01 January 2000
Fig. 15 Analysis of data developed by the two-point strategy More
Image
Published: 01 November 1995
Fig. 40 Data requirements of the TCARES (toughened ceramics analysis and reliability evaluation of structures) computer algorithm for analyzing component reliability More
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Published: 01 January 1990
Fig. 25 Analysis of creep data. Creep behavior of 2 1 4 Cr-1Mo steel tested at 540 °C (1000 °F). (a) Creep strain-time plot; constant-stress lines have been drawn parallel. (b) Stress-creep strain plot. (c) Stress-time plot; constant-strain lines have been drawn parallel. (d More
Image
Published: 01 December 2009
Fig. 5 Posttraining linear regression analysis between experimental data (horizontal axis, T values) and neural-network predictions (vertical axis, A values). The diagonal dashed line is A = T. (a) and (c) Training datasets. (b) and (d) Testing datasets. Levenberg-Marquardt training alone More
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Published: 01 June 2012
Fig. 17 X-ray photoelectron spectroscopy data for analysis of a passivated stainless steel surface. The survey spectrum in (a) shows all elements at the surface, and multiplex spectra for (b) iron and (c) chromium show the chemical state for these elements. A high ratio of oxide for these two More
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Published: 01 February 2024
Fig. 15 Analysis of cooling curve data obtained with a 12.5 × 100 mm (½ × 4 in.) Inconel 600 probe. (a) Temperature at the maximum cooling rate vs. water temperature. (b) Maximum cooling rate vs. water temperature. (c) Cooling time vs. water temperature. (d) Cooling rate at 343 °C (650 °F) vs More
Book Chapter

By Joe Wong
Series: ASM Handbook Archive
Volume: 10
Publisher: ASM International
Published: 01 January 1986
DOI: 10.31399/asm.hb.v10.a0001764
EISBN: 978-1-62708-178-8
... of synchrotron radiation as the x-ray source for EXAFS experiments. It also describes the typical EXAFS data analysis of pure nickel at 90 K, and explains the near-edge structure analysis of vanadium. The article presents a discussion on the unique features and applications of EXAFS. data analysis...
Book Chapter

By Kenji Umezawa
Series: ASM Handbook
Volume: 10
Publisher: ASM International
Published: 15 December 2019
DOI: 10.31399/asm.hb.v10.a0006628
EISBN: 978-1-62708-213-6
.... Various steps involved in the sample preparation, calibration, and data analysis are then discussed. The article concludes with a section on the applications and interpretation of LEIS in material analysis, including discussion on surface structural analysis, layer-by-layer (Frank-van der Merwe) growth...
Book Chapter

By Richard E. Chinn
Series: ASM Handbook
Volume: 10
Publisher: ASM International
Published: 15 December 2019
DOI: 10.31399/asm.hb.v10.a0006674
EISBN: 978-1-62708-213-6
.... The discussion covers the general principles, equipment used, specimen preparation process, calibration conditions, data analysis steps, and examples of the applications and interpretation of TMA. Thermomechanical analysis Overview Introduction Thermomechanical analysis (TMA) is a thermal...