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1-20 of 1937
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Disector sampling method for estimation of number density of tungsten grain...
Available to Purchase
in Quantitative Characterization and Representation of Global Microstructural Geometry
> Metallography and Microstructures
Published: 01 December 2004
Fig. 20 Disector sampling method for estimation of number density of tungsten grains in the 3-D microstructure of liquid phase sintered W-Ni-Fe alloy. The three grains in (a) at the arrows are sampled by the unbiased counting frame, which are not present in the second disector plane segment
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Total number density of all voids in an Al-Mg-Cu-Mn superplastic alloy as a...
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in Modeling of Cavity Initiation and Early Growth during Superplastic and Hot Deformation
> Fundamentals of Modeling for Metals Processing
Published: 01 December 2009
Fig. 5 Total number density of all voids in an Al-Mg-Cu-Mn superplastic alloy as a function of strain at various temperatures and strain rates, showing that voids nucleate continuously during deformation
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Comparison of (a) measured number density of surface cracks of different le...
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in Microstructure-Sensitive Modeling and Simulation of Fatigue
> Fundamentals of Modeling for Metals Processing
Published: 01 December 2009
Fig. 12 Comparison of (a) measured number density of surface cracks of different lengths in low-cycle fatigue of polycrystalline martensitic-ferritic steel (Source: Ref 72 ) with (b) predicted distribution, assuming initial crack size of 10 μm in each grain, propagated using the fatigue
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Image
Microcrack density in dependence on relative number of cycles in α-iron for...
Available to PurchasePublished: 01 January 1996
Fig. 16 Microcrack density in dependence on relative number of cycles in α-iron for two strain amplitudes. ε a , strain amplitude; N , number of cycles; N f , number of cycles to fracture
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Load density and number of parts affecting quenchant flow around parts in a...
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in Determination of Heat Transfer Coefficients for Thermal Modeling
> Fundamentals of Modeling for Metals Processing
Published: 01 December 2009
Fig. 33 Load density and number of parts affecting quenchant flow around parts in a production quench tank
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Book Chapter
Quantitative Characterization and Representation of Global Microstructural Geometry
Available to PurchaseSeries: ASM Handbook
Volume: 9
Publisher: ASM International
Published: 01 December 2004
DOI: 10.31399/asm.hb.v09.a0003759
EISBN: 978-1-62708-177-1
... Abstract The objective of quantitative metallography/stereology is to describe the geometric characteristics of the features. This article discusses the geometric attributes of microstructural features that can be divided into: the numerical extents and the number density of microstructural...
Abstract
The objective of quantitative metallography/stereology is to describe the geometric characteristics of the features. This article discusses the geometric attributes of microstructural features that can be divided into: the numerical extents and the number density of microstructural features; derived microstructural properties; feature specific size, shape, and orientation distributions; and descriptors of microstructural spatial clustering and correlations. It emphasizes on the practical aspects of the measurement techniques and applications. The article also provides information on the quantitative metallographic methods for estimation of volume fraction, total surface area per unit volume, and total length of per unit volume.
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Variation in microhardness as a function of aging time and aging temperatur...
Available to PurchasePublished: 01 October 2014
Fig. 11 Variation in microhardness as a function of aging time and aging temperature due to precipitation strengthening in an experimental copper steel. The microhardness is increasing during nucleation as the number density of the precipitates increases. The microhardness is relatively
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Histogram binned by size of individually segmented powder particles and por...
Available to PurchasePublished: 15 June 2020
Fig. 12 Histogram binned by size of individually segmented powder particles and pores, overlaying powder and powder porosity size distributions along with the normalized number density of pores, thus showing the correlation between powder size and porosity size
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Image
in Aluminum-Lithium Alloys
> Properties and Selection: Nonferrous Alloys and Special-Purpose Materials
Published: 01 January 1990
Fig. 3 Effect of prior deformation and aging time on the amount of T 1 precipitates in aluminum-lithium alloy 2090 (2.4% Li, 2.4% Cu, 0.18% Zr, bal aluminum). (a) Volume fraction of T 1 . (b) Number density of T 1
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Copper-rich precipitate morphology as determined from atom probe tomography...
Available to PurchasePublished: 01 October 2014
Fig. 10 Copper-rich precipitate morphology as determined from atom probe tomography reconstructions in an iron-copper steel. The precipitates are delineated by 10 at.% Cu isoconcentration surfaces. The increasing precipitate size is depicted as a function of aging time. The change in number
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Comparison between observed and predicted microstructural stability of Glee...
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in Modeling of Metallurgical Microstructure Evolution in Fusion Welding
> Welding Fundamentals and Processes
Published: 31 October 2011
Fig. 14 Comparison between observed and predicted microstructural stability of Gleeble simulated specimens after various thermal treatments. (a) Variation in particle number density, N v , with distance from centerline of specimen. (b) Variation in mean particle radius, r
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Comparison of precipitation parameters for a Ni-14Al (at, %) alloy between ...
Available to PurchasePublished: 01 November 2010
Fig. 17 Comparison of precipitation parameters for a Ni-14Al (at, %) alloy between the predicted values and those determined experimentally. KWN, Kampmann-Wagner model in the numerical framework; 83Wen, Ref 60 . (a) Evolution of the average γ′ particle size. (b) Evolution of the γ′ number
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Industrial case study showing the sequence of reactions occurring during ar...
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in Modeling of Metallurgical Microstructure Evolution in Fusion Welding
> Welding Fundamentals and Processes
Published: 31 October 2011
Fig. 15 Industrial case study showing the sequence of reactions occurring during artificial aging (AA), welding (W), and postweld heat treatment (PWHT) of 5 mm (0.2 in.) AA6005 plate material. (a) Record of thermal history. (b) Predicted change in particle number density, N v
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Examples of outputs from the precipitation model following prolonged artifi...
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in Modeling of Metallurgical Microstructure Evolution in Fusion Welding
> Welding Fundamentals and Processes
Published: 31 October 2011
Fig. 13 Examples of outputs from the precipitation model following prolonged artificial aging at 180 °C (355 °F). (a) Change in nucleation rate, j , and particle number density, N v , with time. (b) Increase in the mean particle radius, r ¯ , and the critical radius, r
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(a) Image of a cellular automaton simulation of solidification in a Zn-0.2w...
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in Formation of Microstructures, Grain Textures, and Defects during Solidification
> Metals Process Simulation
Published: 01 November 2010
Fig. 13 (a) Image of a cellular automaton simulation of solidification in a Zn-0.2wt%Al galvanized coating. The 5 by 3 mm domain is cooled at –12 K/s with a positive temperature gradient from left to right. (b) Experimental and calculated number densities of grains as a function of the cooling
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Book: Casting
Series: ASM Handbook
Volume: 15
Publisher: ASM International
Published: 01 December 2008
DOI: 10.31399/asm.hb.v15.a0005225
EISBN: 978-1-62708-187-0
... density distribution on a number basis, with the same superimposed boundaries Deposition and Grain Multiplication When droplets/particles arrive at the mushy preform top surface, some solid particles bounce from the preform surface and are lost as overspray, while substantially liquid droplets...
Abstract
Spray casting, also known as spray forming, is a niche casting process for the manufacture of preforms. This article lists commercial examples of alloys manufactured by spray casting and provides sequential steps of the spray casting process. Gas atomization is a chaotic, stochastic process that always produces a wide range of droplet diameters. The article schematically illustrates a typical log-normal droplet diameter probability density distribution on a mass or volume basis obtained by gas atomization. It also explains the changes in solid fraction during the spray casting process as a function of axial distance from the point of droplet atomization. The article concludes with information on the occurrence of macrosegregation and coarsening in spray cast preforms.
Series: ASM Handbook Archive
Volume: 11
Publisher: ASM International
Published: 01 January 2002
DOI: 10.31399/asm.hb.v11.a0003536
EISBN: 978-1-62708-180-1
... is particularly useful for quantitative characterization of specific features (for example, dimples, striations, pores, facets, inclusions, etc.) present in the fracture surface ( Ref 35 , 36 ). The features of interest are characterized via estimation of their number density, average size, shape, spacing...
Abstract
The quantitative characterization of fracture surface geometry, that is, quantitative fractography, can provide useful information regarding the microstructural features and failure mechanisms that govern material fracture. This article is devoted to the fractographic techniques that are based on fracture profilometry. This is followed by a section describing the methods based on scanning electron microscope fractography. The article also addresses procedures for three-dimensional fracture surface reconstruction. In each case, sufficient methodological details, governing equations, and practical examples are provided.
Book Chapter
Engineering Data for Metals and Alloys
Available to PurchaseSeries: ASM Desk Editions
Publisher: ASM International
Published: 01 December 1998
DOI: 10.31399/asm.hb.mhde2.a0003082
EISBN: 978-1-62708-199-3
... include density, linear thermal expansion, thermal conductivity, electrical conductivity, resistivity, and approximate melting temperature. The tables also present approximate equivalent hardness numbers for austenitic steels, nonaustenitic steels, austenitic stainless steel sheet, wrought aluminum...
Abstract
This article contains tables that present engineering data for the following metals and their alloys: aluminum, copper, iron, lead, magnesium, nickel, tin, titanium, zinc, precious metals, permanent magnet materials, pure metals, rare earth metals, and actinide metals. Data presented include density, linear thermal expansion, thermal conductivity, electrical conductivity, resistivity, and approximate melting temperature. The tables also present approximate equivalent hardness numbers for austenitic steels, nonaustenitic steels, austenitic stainless steel sheet, wrought aluminum products, wrought copper, and cartridge brass. The article lists conversion factors classified according to the quantity/property of interest.
Book Chapter
Introduction to Quantitative Fractography
Available to PurchaseBook: Fractography
Series: ASM Handbook
Volume: 12
Publisher: ASM International
Published: 01 June 2024
DOI: 10.31399/asm.hb.v12.a0007033
EISBN: 978-1-62708-387-4
... by specific fracture micromechanisms, such as ductile fracture, cleavage fracture, intergranular fracture, and fatigue. Once the features of interest are uniquely identified, they can be quantitatively characterized via estimation of their number density, average size, spacing, and area fraction, as well...
Abstract
The development of quantitative fractography (QF) parameters basically requires topological data of a fracture surface that can be derived from the stereological analysis of multiple projected scanning electron microscope (SEM) images; the profilometry-based techniques that measure the fracture surface profile along x-y sections of a fracture surface from metallographic sections or nondestructive techniques; and the three-dimensional reconstruction of the fracture surface topology using imaging methods such as stereo SEM imaging and confocal scanning laser microscopy. These three general methods of assessing fracture surface topology are reviewed in this article.
Book Chapter
Heat Treatment of Copper Precipitation-Strengthened Steels
Available to PurchaseSeries: ASM Handbook
Volume: 4D
Publisher: ASM International
Published: 01 October 2014
DOI: 10.31399/asm.hb.v04d.a0005962
EISBN: 978-1-62708-168-9
...), as shown in the binary phase diagram in Fig. 1 ( Ref 38 ). The eutectoid temperature is 850 °C. The small maximum solubility combined with a rapidly sloping solvus curve and a concomitant decrease in the solubility limit enables the nucleation of a high number density of copper precipitates in the α-Fe...
Abstract
Copper steels are precipitation-strengthened steels that are designed to have a unique combination of physical and mechanical properties. This article provides an overview of copper precipitate-strengthened steels and their applications, and discusses appropriate ASTM International standards. It describes the common phases and alloying elements present in copper precipitate-strengthened steels, and reviews the influences of alloying elements on processing, phase diagrams, microstructures, and mechanical properties. The article also discusses the thermomechanical process, solutionizing heat treatment, and isothermal aging in detail. It concludes with a review of the interrelationships between heat treatments, microstructures, and mechanical properties.
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