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regression analysis

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Series: ASM Handbook
Volume: 11
Publisher: ASM International
Published: 15 January 2021
DOI: 10.31399/asm.hb.v11.a0006767
EISBN: 978-1-62708-295-2
... procedure to deal with stress by determining maximum values through stress transformation is described. The article provides the stress analysis equations of typical component geometries and discusses some of the implications of the stress analysis relative to failure in components. It focuses on linear...
Series: ASM Handbook
Volume: 11
Publisher: ASM International
Published: 15 January 2021
DOI: 10.31399/asm.hb.v11.a0006781
EISBN: 978-1-62708-295-2
... / 2 β · ( α 0 2 G b V f − 1 / 3 ) 1 / β Again, this equation can be put in parametric form for use in engineering calculations with the constants determined by regression analysis and parameterized in terms of the important variables. The engineering...
Series: ASM Handbook
Volume: 12
Publisher: ASM International
Published: 01 January 1987
DOI: 10.31399/asm.hb.v12.a0001838
EISBN: 978-1-62708-181-8
... fractal dimensions that result from these analyses appear to possess some generality for natural irregular nonplanar surfaces and their profiles. fractal analysis fracture surface quantitative fractography surface roughness RESEARCH into the field of quantitative fractography has progressed...
Series: ASM Handbook
Volume: 11
Publisher: ASM International
Published: 15 January 2021
DOI: 10.31399/asm.hb.v11.a0006768
EISBN: 978-1-62708-295-2
... heterogeneity with nonuniform microstrains. This is often seen in multiphase materials ( Ref 2 ). When ψ-splitting is observed, a nonlinear regression should be employed to fit the data points in d -spacing versus sin 2 ψ plots (Eq 3). A triaxial analysis can also be employed ( Ref 1 , 2 , 5 , 9 ). These...
Book: Casting
Series: ASM Handbook
Volume: 15
Publisher: ASM International
Published: 01 December 2008
DOI: 10.31399/asm.hb.v15.a0005346
EISBN: 978-1-62708-187-0
... knowledge. The most common are black belts and green belts. Black belts are capable of using advanced mathematical/statistical techniques such as design of experiments, regression analysis, correlation analysis, and variance analysis to solve very complex issues. Green belts are trained to use simpler...
Book Chapter

Series: ASM Desk Editions
Publisher: ASM International
Published: 01 December 1998
DOI: 10.31399/asm.hb.mhde2.a0003088
EISBN: 978-1-62708-199-3
... Abstract This article describes design factors for products used in engineering applications. The article groups these factors into three categories: functional requirements, analysis of total life cycle, and other major factors. These categories intersect and overlap, constituting a major...
Series: ASM Handbook
Volume: 10
Publisher: ASM International
Published: 15 December 2019
DOI: 10.31399/asm.hb.v10.a0006640
EISBN: 978-1-62708-213-6
... a function of intensity rather than the other way around. This is for practical reasons; a regression calculation to fit the calibration points to a curve then directly provides the analysis function used when analyzing an unknown. It can be argued that this is a backward way to perform a regression...
Book: Casting
Series: ASM Handbook
Volume: 15
Publisher: ASM International
Published: 01 December 2008
DOI: 10.31399/asm.hb.v15.a0005340
EISBN: 978-1-62708-187-0
... chemical analysis, pressure filter tests, electric resistivity tests, reduced-pressure test, and ultrasonic technique. It also lists the various impurities detection methods of chemical analysis and their limitations. aluminum alloys qualitative test semiquantitative test quantitative tests...
Series: ASM Handbook
Volume: 17
Publisher: ASM International
Published: 01 August 2018
DOI: 10.31399/asm.hb.v17.a0006439
EISBN: 978-1-62708-190-0
... Abstract Machine vision, also referred to as computer vision or intelligent vision, is a means of simulating the image recognition and analysis capabilities of the human eye and brain system with digital techniques. The machine vision functionality is extremely useful in inspection, supervision...
Book Chapter

By S. Lampman
Series: ASM Handbook
Volume: 10
Publisher: ASM International
Published: 15 December 2019
DOI: 10.31399/asm.hb.v10.a0006645
EISBN: 978-1-62708-213-6
... processes involved in sample preparation for XRF analysis are also included. The article further provides information on the practical procedure for and the applications of WDS and EDS qualitative and quantitative analyses. X-ray absorption X-ray emission X-ray spectroscopy X-Ray Radiation X-ray...
Series: ASM Handbook
Volume: 10
Publisher: ASM International
Published: 15 December 2019
DOI: 10.31399/asm.hb.v10.a0006665
EISBN: 978-1-62708-213-6
... each interval is determined mainly by the local quality of the fit. The pre-edge background from −200 to −20 eV is obtained by a linear regression analysis of the first ten raw data points. Figure 7 shows the result for nickel. The solid line in Fig. 7(a) is the raw experimental K-edge EXAFS...
Series: ASM Handbook
Volume: 10
Publisher: ASM International
Published: 15 December 2019
DOI: 10.31399/asm.hb.v10.a0006632
EISBN: 978-1-62708-213-6
... industrial metallurgical, process development, and failure analysis investigations undertaken at Lambda Research. X-ray diffraction residual-stress techniques stress measurement plane-stress elastic model Residual stresses generally are caused by nonuniform thermal and/or...
Series: ASM Handbook
Volume: 4E
Publisher: ASM International
Published: 01 June 2016
DOI: 10.31399/asm.hb.v04e.a0006260
EISBN: 978-1-62708-169-6
... rate. It describes the quench sensitivity and severity of alloys, quench mechanisms and the different types of quenchants used in immersion, spray, and fog quenching. The article provides a detailed description of the quench-factor analysis that mainly includes residual stress and distortion, which can...
Series: ASM Handbook
Volume: 10
Publisher: ASM International
Published: 15 December 2019
DOI: 10.31399/asm.hb.v10.a0006653
EISBN: 978-1-62708-213-6
... interferences in AAS, namely vaporization, ionization, matrix interferences, and background correction. Some of the methods for the analysis of microliter-sized samples and methods of standard additions to the sample solution for generating calibration standards are then reviewed. The article concludes with a...
Series: ASM Handbook
Volume: 4B
Publisher: ASM International
Published: 30 September 2014
DOI: 10.31399/asm.hb.v04b.a0005934
EISBN: 978-1-62708-166-5
... Abstract Successful hardening depends on the hardenability of steel composition, the geometry of parts, the quenching system, and on the heat treating process used. This article provides a brief overview of the computation and use of quench factor analysis (QFA) to quantify as-quenched hardness...
Series: ASM Handbook
Volume: 14A
Publisher: ASM International
Published: 01 January 2005
DOI: 10.31399/asm.hb.v14a.a0003985
EISBN: 978-1-62708-185-6
... selection considerations, design guidelines, alloy types and selection, and the advantages and disadvantages of hot-die forging and isothermal forging. The article discusses the application of the finite-element analysis modeling to design. finite-element analysis forging parameters hot-die forging...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005403
EISBN: 978-1-62708-196-2
... dynamic recrystallization (DDRX). The article discusses the assumptions and simplifications for the Avrami analysis. It describes the effects of nucleation and growth rates on recrystallization kinetics and recrystallized grain size based on the Johnson-Mehl-Avrami-Kolmogorov model for static...
Series: ASM Handbook
Volume: 5
Publisher: ASM International
Published: 01 January 1994
DOI: 10.31399/asm.hb.v05.a0001295
EISBN: 978-1-62708-170-2
... spectrum. Other advanced features include regression analysis of thicknesses and optical constants for multiple films and extended wavelength ranges. The author would like to acknowledge Mark Keefer, Prometrix Corp.; William Henderson, SOPRA, Inc.; and John Woollam, J.A. Woollam Co. for...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005416
EISBN: 978-1-62708-196-2
... models and in the treatment of noise and uncertainties. It is now well established that the method is not only capable of representing known data but can also lead to the discovery of novel concepts ( Ref 1 to 2 ). To begin, the method is introduced. In regression analysis, the data...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005407
EISBN: 978-1-62708-196-2
... combination of database distribution, architecture, training algorithm, and transfer function can be tested by an analysis of the network response in a form of linear regression between network outputs (predictions) and corresponding targets (experimental data) for the training and testing datasets ( Fig. 5...