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Image
Effect of sample size on the fracture of notched samples tested in slow ben...
Available to Purchase
in Mechanisms and Appearances of Ductile and Brittle Fracture in Metals
> Failure Analysis and Prevention
Published: 01 January 2002
Fig. 51 Effect of sample size on the fracture of notched samples tested in slow bending. Data are normalized to the sample size for comparison. b , specimen width; d , retained depth at bottom of notch
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Image
Wire arc additively manufactured wall sample. Size: 155 by 100 by 20 mm (6....
Available to Purchase
in Review of Ultrasonic Testing for Metallic Additively Manufactured Parts
> Additive Manufacturing Design and Applications
Published: 30 June 2023
Fig. 35 Wire arc additively manufactured wall sample. Size: 155 by 100 by 20 mm (6.1 by 4.0 by 0.8 in.). Source: Ref 7
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Image
Effect of sample size on the fracture of notched samples tested in slow ben...
Available to Purchase
in Mechanisms and Appearances of Ductile and Brittle Fracture in Metals
> Failure Analysis and Prevention
Published: 15 January 2021
Fig. 51 Effect of sample size on the fracture of notched samples tested in slow bending. Data are normalized to the sample size for comparison. b , specimen width; d , retained depth at bottom of notch
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Image
Published: 01 January 2001
Fig. 3 Example showing how sample size influences B - basis values for the normal distribution. CV, coefficient of variation
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Image
Two-dimensional phase field simulation of sample-size effect on (a) and (b)...
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in Modeling and Simulation of Microstructure Evolution during Heat Treatment of Titanium Alloys
> Heat Treating of Nonferrous Alloys
Published: 01 June 2016
Fig. 17 Two-dimensional phase field simulation of sample-size effect on (a) and (b) microstructure evolution and (c) grain-growth kinetics. The sample thickness is 192 (in reduced unit), and the ratio between surface energy and grain-boundary energy (γ s /γ b ) is 3.
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Image
Required sample size to detect a drop in material performance (with 80% con...
Available to PurchasePublished: 01 January 1997
Image
Powder-bed fusion metallic lattice samples. Size: 12 × 35 × 6 mm (0.48 × 1....
Available to Purchase
in Review of Ultrasonic Testing for Metallic Additively Manufactured Parts
> Additive Manufacturing Design and Applications
Published: 30 June 2023
Fig. 30 Powder-bed fusion metallic lattice samples. Size: 12 × 35 × 6 mm (0.48 × 1.4 × 0.24 in.)
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Image
Shear testing. (a) Drawing showing the sample sizes used. (b) Schematic of ...
Available to PurchasePublished: 15 June 2020
Fig. 11 Shear testing. (a) Drawing showing the sample sizes used. (b) Schematic of the test setup. Courtesy of M.J. Dapino, The Ohio State University. (c) Illustration of the test setup. (d) Photograph of actual test jig
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Book Chapter
Split-Hopkinson Pressure Bar Testing of Soft Materials
Available to PurchaseSeries: ASM Handbook
Volume: 8
Publisher: ASM International
Published: 01 January 2000
DOI: 10.31399/asm.hb.v08.a0003298
EISBN: 978-1-62708-176-4
... materials. These techniques include the data-reduction techniques and assumptions required to use polymer pressure bars, the importance of sample-size considerations to polymer testing, and temperature-control methodologies to measure the high-strain-rate uniaxial stress response of polymers and other soft...
Abstract
This article addresses the specialized aspects required to accurately quantify the behavior of soft materials, including polymers and polymeric composites, using the split-Hopkinson pressure bar (SHPB). It details some of the specialized SHPB techniques that facilitate testing soft materials. These techniques include the data-reduction techniques and assumptions required to use polymer pressure bars, the importance of sample-size considerations to polymer testing, and temperature-control methodologies to measure the high-strain-rate uniaxial stress response of polymers and other soft materials.
Image
Recommended sample shapes and sizes for FMR studies. (a) Cylinder. (b) Para...
Available to PurchasePublished: 01 January 1986
Fig. 3 Recommended sample shapes and sizes for FMR studies. (a) Cylinder. (b) Parallelepiped. (c) Circular disk. See also Eq 1(a) , 1(b) , and 1(c) .
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Published: 30 September 2015
Image
Effect of section thickness on fracture appearance. The fracture surfaces o...
Available to PurchasePublished: 01 June 2024
Fig. 21 Effect of section thickness on fracture appearance. The fracture surfaces of two Charpy V-notch samples are shown. The standard 10 by 10 mm (0.4 by 0.4 in.) sample size is shown at left, while a subsized 4 mm (0.16 in.) thick sample is shown at right. Plane-stress conditions
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Image
The regression lines of the population of specimens and of four of many pos...
Available to PurchasePublished: 01 January 1996
Fig. 12 The regression lines of the population of specimens and of four of many possible samples from the population within its dotted borderline for a given sample size
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Image
Published: 01 January 2001
Fig. 2 High-sensitivity T g detection using MDSC. Sample: glass fiber reinforced epoxy-Kevlar/polyimide; sample size: 32.9 mg; method: MDSC 2.5/60 at 1 °C/min; crimped pan; nitrogen gas purge
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Image
High-sensitivity glass transition temperature detection using modulated dif...
Available to PurchasePublished: 15 December 2019
Fig. 3 High-sensitivity glass transition temperature detection using modulated differential scanning calorimetry (MDSC). Sample: glass-fiber-reinforced epoxy-aramid/polyimide; sample size: 32.9 mg; method: MDSC 2.5/60 at 1 °C/min (1.8 °F/min); crimped pan; nitrogen gas purge. The (I) indicates
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Book: Powder Metallurgy
Series: ASM Handbook
Volume: 7
Publisher: ASM International
Published: 30 September 2015
DOI: 10.31399/asm.hb.v07.a0006115
EISBN: 978-1-62708-175-7
..., sampling regimes and methods are required to obtain representative samples. Classification methods are used to exclude certain powder sizes from a powder distribution and to obtain particular powder distributions. For example, sieving methods are used to obtain particular powder distributions...
Abstract
This article summarizes sampling of powders, which includes the sampling of stored material and flowing streams, sample reduction and evaluation, and weight of sample required. It also summarizes the classification of powders. Classifiers are divided into two categories: counterflow equilibrium and crossflow separation. Classification methods are used to exclude certain powder sizes from a powder distribution and to obtain particular powder distributions. For example, sieving methods are used to obtain particular powder distributions and to obtain narrow size ranges of a powder. The article summarizes the sieving methods for powders. The sieving methods include hand sieving, machine sieving, manual wet sieving, air jet sieving, sonic sifter, wet sieving by machine, the Seishin robot sifter, automated systems, and ultrasonic machine sieving. The article outlines the sieve types and the process variables of the sieving process. An appendix reviews dispersion of powders in liquids.
Image
(a) Atsuhime multianvil press, deployed at the PLANET beamline, Materials a...
Available to PurchasePublished: 15 December 2019
are 2 mm (0.08 in.). A typical sample size is ~600 μm in diameter and ~ 150 μm tall. Courtesy of T. Hattori, MLF Facility, Japan
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Image
Hardness variation of 7010 when retrogressed at 200 °C (390 °F) and reaged ...
Available to PurchasePublished: 01 June 2016
Fig. 4 Hardness variation of 7010 when retrogressed at 200 °C (390 °F) and reaged for 24 h at 120 °C (250 °F). Sample size: 30 × 30 × 10 mm (1.2 × 1.2 × 0.4 in.); initial aging treatment: 24 h at 120 °C. RRA, retrogressed and reaged
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Image
Hardness variation of 7010 when retrogressed at 240 °C (465 °F) and reaged ...
Available to PurchasePublished: 01 June 2016
Fig. 5 Hardness variation of 7010 when retrogressed at 240 °C (465 °F) and reaged for 24 h at 120 °C (250 °F). Sample size: 30 × 30 × 10 mm (1.2 × 1.2 × 0.4 in.); initial aging treatment: 24 h at 120 °C. RRA, retrogressed and reaged
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Series: ASM Handbook
Volume: 20
Publisher: ASM International
Published: 01 January 1997
DOI: 10.31399/asm.hb.v20.a0002431
EISBN: 978-1-62708-194-8
... samples from the following approximate formula: (Eq 1) Median or 50 % rank = j − 0.3 n + 0.4 where j is the failure order number and n is the sample size. Cumulative distribution of fatigue failures from <xref rid="a0002431-t1" ref-type="table">Table 1</xref> Table 2...
Abstract
This article discusses some of the statistical aspects of design from an engineer's perspective. It reviews the commonly used statistical terms and distributions for providing some guidance on the practical engineering applications of these distributions. The article describes the basic statistical procedures that can be used to address variability and uncertainty in an engineering analysis. It contains a table that lists the relevant statistics standards published by the American Society of Testing and Materials.
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