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X-ray computed tomography
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X-ray computed tomography
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Published: 15 June 2020
Fig. 10 Comparison between x-ray computed tomography (XCT) scans of as-received (a) water-atomized and (b) gas-atomized nickel-base powders contained in plastic straws. Source: Ref 18 . (c) Reconstructed slice of gas-atomized Ti-6Al-4V powder from synchrotron-based XCT dataset. Note
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Image
Published: 15 June 2020
Fig. 11 Reconstructed x-ray computed tomography data of (a) 17-4 PH stainless steel and (b) Ti-6Al-4V powder are visualized and quantified using Avizo software. Note that the powder is in gray, and the porosity is highlighted in (a) blue and (b) red.
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in Nondestructive Testing in Additive Manufacturing—A Review
> Additive Manufacturing Design and Applications
Published: 30 June 2023
Fig. 8 Scans show the inspection capability of the x-ray computed tomography method in two additively manufactured parts. (a) Hinge bracket crack and surface irregularities detection. (b) Ace cup rings of porous material in the middle section of thickness via laser powder-bed fusion using
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in Surface and Geometrical Characterization and Measurements in Additive Manufacturing
> Additive Manufacturing Design and Applications
Published: 30 June 2023
Fig. 7 Typical laboratory-based x-ray computed tomography process flow, from data acquisition to measurement evaluation
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in X-Ray—Radiography and Computed Tomography in Additive Manufacturing
> Additive Manufacturing Design and Applications
Published: 30 June 2023
Fig. 2 Schematic and resulting x-ray computed tomography (CT) scan of an additively manufactured bracket
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Published: 01 June 2024
Fig. 35 Two orthogonal slices of an x-ray computed tomography data set of a Ti-8Al-1Mo-1V dwell fatigue sample. The size and shape of the crack is consistent with the size and shape of the microtextured regions in the material. Diameter of gage section is 5 mm (0.2 in.).
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Series: ASM Handbook
Volume: 24A
Publisher: ASM International
Published: 30 June 2023
DOI: 10.31399/asm.hb.v24A.a0006974
EISBN: 978-1-62708-439-0
... Abstract X-ray radiography and computed tomography (CT) are nondestructive testing (NDT) tools particularly well suited to additive manufacturing (AM). A brief overview of NDT for AM is presented in this article, including other NDT methods, followed by identifying the key advantages...
Abstract
X-ray radiography and computed tomography (CT) are nondestructive testing (NDT) tools particularly well suited to additive manufacturing (AM). A brief overview of NDT for AM is presented in this article, including other NDT methods, followed by identifying the key advantages and requirements for x-ray radiography and CT in AM. Less widely known applications of CT are also presented, including powder characterization, the evaluation of lattice structures, surface roughness measurements, and four-dimensional CT involving interrupted (before-after) CT scans of the same parts, or even in situ scans of the same part subjected to some processing or loading conditions. The article concludes with a discussion on the limits and some guidelines for the use of x-ray and CT for various AM materials.
Image
Published: 01 August 2018
Fig. 5 Components of a computed tomography (CT) image. (a) The x-ray transmission measurements and resultant CT image correspond to a defined slice through the object. (b) The cross-sectional slice can be considered to contain a matrix of volume elements, or voxels. (c) The reconstructed CT
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Image
Published: 01 August 2018
Fig. 19 Industrial computed tomography system x-ray cell for the inspection of large fabricated components and castings with multiaxis parts manipulator
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Series: ASM Handbook
Volume: 17
Publisher: ASM International
Published: 01 August 2018
DOI: 10.31399/asm.hb.v17.a0006456
EISBN: 978-1-62708-190-0
... of performance characteristics for film radiography, real-time radiography, and X-ray computed tomography is presented in a table. A functional block diagram of a typical computed tomography system is provided. The article discusses CT scanning geometry that is used to acquire the necessary transmission data...
Abstract
Computed tomography (CT) is an imaging technique that generates a three-dimensional (3-D) volumetric image of a test piece. This article illustrates the basic principles of CT and provides information on the types, applications, and capabilities of CT systems. A comparison of performance characteristics for film radiography, real-time radiography, and X-ray computed tomography is presented in a table. A functional block diagram of a typical computed tomography system is provided. The article discusses CT scanning geometry that is used to acquire the necessary transmission data. It also provides information on digital radiography, image processing and analysis, dual-energy imaging, and partial angle imaging, of a CT system.
Book Chapter
Book: Composites
Series: ASM Handbook
Volume: 21
Publisher: ASM International
Published: 01 January 2001
DOI: 10.31399/asm.hb.v21.a0003436
EISBN: 978-1-62708-195-5
..., radiography, X-ray computed tomography, thermography, low-frequency vibration methods, acoustic emission, eddy current testing, optical holography, and shearography. The article presents some examples are for fiber-reinforced polymer-matrix composites. Many of the techniques have general applicability...
Abstract
This article introduces the principal methodologies and some technologies that are being applied for nondestructive evaluation of composite materials. These include ultrasonic testing (UT), air-coupled UT, laser UT, ultrasonic spectroscopy, leaky lamb wave method, acousto-ultrasonics, radiography, X-ray computed tomography, thermography, low-frequency vibration methods, acoustic emission, eddy current testing, optical holography, and shearography. The article presents some examples are for fiber-reinforced polymer-matrix composites. Many of the techniques have general applicability to other types of composites such as metal-matrix composites and ceramic-matrix composites.
Series: ASM Handbook
Volume: 24
Publisher: ASM International
Published: 15 June 2020
DOI: 10.31399/asm.hb.v24.a0006568
EISBN: 978-1-62708-290-7
... of micro-X-ray computed tomography in studying powder porosity characteristics nondestructively. bulk density carney flow test hall flow test particle morphology powder flowability shear properties Powder Flowability in Metal Additive Manufacturing Powder-bed additive manufacturing (AM...
Abstract
Powder-bed additive manufacturing (AM) processes are some of the most commonly used techniques, necessitating the accurate measurement of powder flowability properties. This article discusses some powder flow tests that occur in powder-bed AM machines. These include the Hall/Carney flow test, bulk/tap density, rheometer, and the revolving or rotating drum technique. The three categories of powder properties that are available from rheometer experiments are discussed: bulk, dynamic flow, and shear properties. The article also describes the basic principles and applications of micro-X-ray computed tomography in studying powder porosity characteristics nondestructively.
Series: ASM Handbook
Volume: 24A
Publisher: ASM International
Published: 30 June 2023
DOI: 10.31399/asm.hb.v24A.a0006967
EISBN: 978-1-62708-439-0
... Computed Tomography X-ray computed tomography (XCT) is introduced in the article “ X-Ray—Radiography and Computed Tomography in Additive Manufacturing ” in this Volume, which reviews the potential application of XCT for NDT of additively manufactured components. One key aspect of XCT is that it has...
Abstract
As additive manufacturing (AM) gains maturity as a manufacturing technique for production in many industrial sectors, inspection as a tool for quality control gains importance. This article is focused on the field of dimensional metrology, which is typically concerned with the verification of size, location, form, and surface topography of geometric features. This is split into two categories: geometric (size, location, form) and surface measurement (topography). The article also focuses on applicable inspection technologies, and it discusses the context within digital thread manufacturing. A case study on the Digital Inspection Requirements Enhancing Coverage and Traceability (DIRECT) is also presented.
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in Additive Manufacturing Data and Metadata Acquisition—General Practice
> Additive Manufacturing Design and Applications
Published: 30 June 2023
Fig. 1 Additive manufacturing (AM) data-collection landscape. XCT, x-ray computed tomography. Adapted from Ref 1
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in Data Analytics and Machine Learning in Metal Additive Manufacturing—Challenges, Segmentations, and Applications
> Additive Manufacturing Design and Applications
Published: 30 June 2023
Fig. 7 Classifier accuracy as a function of flaw size for a convolutional neural network ensemble classifier trained with layerwise images labeled using registered x-ray computed tomography. Source: Ref 12
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in Application of Machine Learning to Monitor Metal Powder-Bed Fusion Additive Manufacturing Processes
> Additive Manufacturing Design and Applications
Published: 30 June 2023
Fig. 2 Using labeled experimental data as machine learning ground truth, showing x-ray computed tomography (CT) flaw in top row, and layerwise imagery of corresponding build layer in bottom row
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Image
in Surface and Geometrical Characterization and Measurements in Additive Manufacturing
> Additive Manufacturing Design and Applications
Published: 30 June 2023
Fig. 8 Digital Inspection Requirements Enhancing Coverage and Traceability (DIRECT) project workflow demonstrating the application of model-based definition (MBD) for an x-ray computed tomography inspection of an additively manufactured component. BOCs, bill of characteristics
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in Application of Machine Learning to Monitor Metal Powder-Bed Fusion Additive Manufacturing Processes
> Additive Manufacturing Design and Applications
Published: 30 June 2023
Fig. 3 Data preparation and cleaning procedure. STL, standard triangle/tessellation language; XCT, x-ray computed tomography; ADR, automated defect recognition; MS, multispectral; ML, machine learning; DMF, design and monitoring framework
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Image
in Application of Machine Learning to Monitor Metal Powder-Bed Fusion Additive Manufacturing Processes
> Additive Manufacturing Design and Applications
Published: 30 June 2023
Fig. 7 Summary of machine-learning-based anomaly-detection strategies for metal powder-bed fusion additive manufacturing. (a) ML, machine learning. (b) XCT, x-ray computed tomography. (c) ADR, automated defect recognition
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Image
in Nondestructive Testing in Additive Manufacturing—A Review
> Additive Manufacturing Design and Applications
Published: 30 June 2023
Fig. 17 Example of in-process inspection (direct inspection) of the welding process by laser ultrasound testing (LUT). (a) Laser ultrasound setup for direct inspection of laser welding at a processing speed. (b) Visual comparison between x-ray computed tomography (postbuild) and laser
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