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quantitative models

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Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005401
EISBN: 978-1-62708-196-2
... Abstract The modeling and simulation of texture evolution for titanium alloys is often tightly coupled to microstructure evolution. This article focuses on a number of problems for titanium alloys in which such coupling is critical in the development of quantitative models. It discusses...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005512
EISBN: 978-1-62708-197-9
... ). The combination of these two approaches, albeit refined considerably, provides the basis for all subsequent models; most later quantitative models assume that, initially, plastic deformation occurs until the contacting area of deforming asperities increases sufficiently that the stress on these areas falls below...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005428
EISBN: 978-1-62708-196-2
... by comparing the observed behavior quantitatively with theory. The industrial applications of the model are also discussed. The article also provides a wide selection of the algorithms for implementing the Potts model, such as boundary-site models, n -fold way models, and parallel models, which are needed...
Series: ASM Handbook
Volume: 4E
Publisher: ASM International
Published: 01 June 2016
DOI: 10.31399/asm.hb.v04e.a0006277
EISBN: 978-1-62708-169-6
... equilibrium Gibbs free energies of and atomic mobilities in individual phases as functions of temperature and composition that are required by quantitative phase-field modeling. A crystallographic model based on BOR is used to quantitatively analyze variant selection of GBα at prior-β grain boundaries...
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
... Abstract Neural networks permit the discovery of fundamental relationships and quantitative structure within vast arrays of ill-understood data. This article provides an overview of neural network modeling method, describing its overfitting nature. It discusses the use of neural networks...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005455
EISBN: 978-1-62708-196-2
... Abstract A computational tool would require the contribution of the strengthening mechanisms of metallic material to be predicted and then summed in an appropriate way to derive an estimate of the tensile properties. This article focuses on the modeling of deformation mechanisms pertinent...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005413
EISBN: 978-1-62708-196-2
... and provides information on the physical background, alternative interpretations, and directions of research. The quantitative description of strain hardening of fcc polycrystals is provided. The article also discusses the modeling of stress-strain behavior in body-centered cubic metals, hexagonal metals...
Series: ASM Handbook
Volume: 4F
Publisher: ASM International
Published: 01 February 2024
DOI: 10.31399/asm.hb.v04F.a0007017
EISBN: 978-1-62708-450-5
... and potential methods for determining a solution. Then, quantitative analyses of practical industrial problems are demonstrated. Finally, the potential shift in these approaches with the advent of Industry 4.0 is outlined. carburizing Industry 4.0 modeling quenching QUENCHING and industrial heat...
Series: ASM Handbook
Volume: 18
Publisher: ASM International
Published: 31 December 2017
DOI: 10.31399/asm.hb.v18.a0006386
EISBN: 978-1-62708-192-4
... their quantitative correlations to wear. Subsequently, wear mitigation strategies for these metallic components, such as materials selection, coating, design, and processing, are detailed. The article also reviews wear testing approaches for equipment and implements. Finally, the role of modeling and simulation...
Series: ASM Handbook
Volume: 17
Publisher: ASM International
Published: 01 August 2018
DOI: 10.31399/asm.hb.v17.a0006443
EISBN: 978-1-62708-190-0
.... It describes the NDE engineering and NDE process control, along with some case studies related to the applications of NDE. The article reviews various models for predicting NDE reliability, such as ultrasonic inspection model, eddy current inspection model, and radiographic inspection model. It concludes...
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Published: 12 September 2022
Fig. 17 (a, b) Simulation of robot-assisted surgical removal of silicone kidney tumor. (c–e) Process begins by conversion of computed tomography scan data to actual 3D-printed model. (f–h) Quantitative measurement and digital overlaying of silicone and actual tumor. Source: Ref 114 More
Book: Casting
Series: ASM Handbook
Volume: 15
Publisher: ASM International
Published: 01 December 2008
DOI: 10.31399/asm.hb.v15.a0005229
EISBN: 978-1-62708-187-0
...: Ref 2 . Computational Modeling Accurate quantitative prediction of microsegregation is challenging because of the following difficulties: Quantifying the equilibrium solubility of each phase as a function of temperature. This is traditionally done using partition coefficients, which...
Series: ASM Handbook
Volume: 9
Publisher: ASM International
Published: 01 December 2004
DOI: 10.31399/asm.hb.v09.a0003729
EISBN: 978-1-62708-177-1
... for dendritic solidification and in Fig. 4 for eutectic solidification ( Ref 9 , 10 ). While phase-field models are fundamental in nature, they are not yet fully quantitative ( Ref 11 ). Fig. 3 Phase-field simulation of dendrite growth. Source: Ref 9 Fig. 4 Phase-field simulation...
Series: ASM Handbook
Volume: 17
Publisher: ASM International
Published: 01 August 2018
DOI: 10.31399/asm.hb.v17.a0006463
EISBN: 978-1-62708-190-0
... it is needed, the history behind the development of POD, how POD assessments are performed, and how modeling and simulation can be integrated into the execution of a POD assessment. It describes the methods by which POD is determined. This includes detail on the experimental process to acquire the needed data...
Series: ASM Handbook
Volume: 13A
Publisher: ASM International
Published: 01 January 2003
DOI: 10.31399/asm.hb.v13a.a0003582
EISBN: 978-1-62708-182-5
... of a local environment may be described through experience and some (usually tedious) hand calculation. When the geochemistry of an environment is more complex, however, quantitative models of aqueous or solid phase chemistry that are beyond the predictive power of experience and hand calculation...
Book: Casting
Series: ASM Handbook
Volume: 15
Publisher: ASM International
Published: 01 December 2008
DOI: 10.31399/asm.hb.v15.a0005236
EISBN: 978-1-62708-187-0
... the envelope) or microsegregation models. The advantage of this CA mesoscopic method is the possibility of studying the influence of the development of structure on quantities characterized at the scale of the casting (e.g., macrosegregation). The development of quantitative models is very much related...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005406
EISBN: 978-1-62708-196-2
... of this CA mesoscopic method is the possibility of studying the influence of the development of structure on quantities characterized at the scale of the casting (e.g., macrosegregation). The development of quantitative models is very much related to the availability of experimental data. Such data...
Series: ASM Handbook
Volume: 13C
Publisher: ASM International
Published: 01 January 2006
DOI: 10.31399/asm.hb.v13c.a0004128
EISBN: 978-1-62708-184-9
... and validation of quantitative metrics for the various corrosion types experienced by aircraft, development of probabilistic models for the evolution of future corrosion and fatigue damage, followed by their use directly in fatigue life prediction models. Causes and Types of Aircraft Corrosion Military...
Series: ASM Handbook
Volume: 20
Publisher: ASM International
Published: 01 January 1997
DOI: 10.31399/asm.hb.v20.a0002456
EISBN: 978-1-62708-194-8
... Abstract This article provides a description of various systems for computer-aided materials selection that deals primarily with promising prototypes that have emerged for various applications. These include expert systems, quantitative selection systems, qualitative and experiential selection...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005427
EISBN: 978-1-62708-196-2
... of quantitative processing-microstructure-property relationships linked with thermodynamic phase equilibria databases. The information can be from theoretical models, empirical relationships, or databases; however, this information also is captured in models that can be integrated with one another...