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automated defect recognition

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Book: Casting
Series: ASM Handbook
Volume: 15
Publisher: ASM International
Published: 01 December 2008
DOI: 10.31399/asm.hb.v15.a0005341
EISBN: 978-1-62708-187-0
... Abstract The commonly used nondestructive testing of cast products include liquid penetrant inspection, radiographic inspection, fluoroscopic inspection and automated defect recognition, ultrasonic inspection, eddy current inspection, process-controlled resonant testing (PCRT), leak test...
Image
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 More
Image
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 More
Series: ASM Handbook
Volume: 24A
Publisher: ASM International
Published: 30 June 2023
DOI: 10.31399/asm.hb.v24A.a0006992
EISBN: 978-1-62708-439-0
... analysis results to reduce label noise (remove false positives) if feasible 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...
Book: Casting
Series: ASM Handbook
Volume: 15
Publisher: ASM International
Published: 01 December 2008
DOI: 10.31399/asm.hb.v15.a0005292
EISBN: 978-1-62708-187-0
... entrapped air and shrinkage. However, with human eyes, there is no way to detect this type of defect. Fortunately, with x-rays and automatic defect-recognition software, an in-line mass-production quality check can be done. Safety improvement: Die casting injuries are ranked very high among...
Series: ASM Handbook
Volume: 6
Publisher: ASM International
Published: 01 January 1993
DOI: 10.31399/asm.hb.v06.a0001479
EISBN: 978-1-62708-173-3
... and structure may reveal defects that result from process- or material-related problems. Before the quality of a soldered joint can be evaluated, the components that are required for the formation of a good soldered joint should be reviewed. These components are the solder, applied heat, and a solderable...
Series: ASM Handbook
Volume: 24A
Publisher: ASM International
Published: 30 June 2023
DOI: 10.31399/asm.hb.v24A.a0006968
EISBN: 978-1-62708-439-0
... of polymer AM, a common strategy is to extract features from raw data first, which will undergo pattern recognition to detect process defects during printing ( Fig. 10 ). Fig. 10 Common framework to use process data for online process monitoring in polymer additive manufacturing The need...
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...
Series: ASM Handbook
Volume: 24A
Publisher: ASM International
Published: 30 June 2023
DOI: 10.31399/asm.hb.v24A.a0006953
EISBN: 978-1-62708-439-0
...-recognition tool such as the Mahalanobis-Taguchi system (MTS) ( Ref 32 ). Because the shift in frequency between reference and defective parts is not the same for every resonant peak, a proprietary pattern-recognition machine-learning algorithm (VIPR, for vibrational pattern recognition, Ref 29 ) can be used...
Series: ASM Handbook
Volume: 1A
Publisher: ASM International
Published: 31 August 2017
DOI: 10.31399/asm.hb.v01a.a0006336
EISBN: 978-1-62708-179-5
... computed tomography). This provides a significant increase in information with high resolution but is currently very expensive, so it is typically used in prototype development. Automatic defect recognition is a technology where the combination of digital imaging and complex computer algorithms allows...
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
... of a signal output (or outputs) or a direct or indirect image. Acceptable conditions can be differentiated from unacceptable conditions by threshold discrimination from the electronic output or by pattern recognition and threshold discrimination by image analyses. Discrimination can be automated or performed...
Series: ASM Handbook
Volume: 17
Publisher: ASM International
Published: 01 August 2018
DOI: 10.31399/asm.hb.v17.a0006473
EISBN: 978-1-62708-190-0
... implemented for automated sizing to be applied to some specific well-defined inspections. However, the fundamental aspects of procedures and defect sizing discussed in this article remain unchanged. Most traditional practical ultrasonic NDT sizing has been to compare the ultrasonic response of a feature...
Series: ASM Handbook
Volume: 23A
Publisher: ASM International
Published: 12 September 2022
DOI: 10.31399/asm.hb.v23A.a0006890
EISBN: 978-1-62708-392-8
... and manual implant ( Ref 10 ) Requirement for a highly sterile environment ( Ref 11 ) Finally, the shape/morphology of the fabricated structure may differ from the actual defect size due to inaccurate design inputs, deriving from resolution limits of computed tomography (CT) and/or magnetic...
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
... reflections (20 to 30% of front wall) in PE mode. For automated PE inspection of thick composite parts (>13 mm, or 0.5 in., thick), time-corrected gain (often called distance amplitude correction) is required to keep PE defect sensitivity constant throughout the composite thickness. The electronic gain...
Series: ASM Handbook
Volume: 17
Publisher: ASM International
Published: 01 August 2018
DOI: 10.31399/asm.hb.v17.a0006478
EISBN: 978-1-62708-190-0
...). This can vary by as much as 5% in parts of the same material, so care must be used when using PE ultrasound for absolute thickness measurements. Automated PE inspection usually generates plan-view images of the time of flight from front surface to the next significant reflector (back wall or defect...
Series: ASM Handbook Archive
Volume: 11
Publisher: ASM International
Published: 01 January 2002
DOI: 10.31399/asm.hb.v11.a0003515
EISBN: 978-1-62708-180-1
... techniques to gain information about defects and various properties of materials, components, and structures—information that is needed to determine their ability to perform their intended function and prevent failure. As defined by ASTM ( Ref 1 ), “NDT is the development and application of technical methods...
Series: ASM Handbook
Volume: 17
Publisher: ASM International
Published: 01 August 2018
DOI: 10.31399/asm.hb.v17.9781627081900
EISBN: 978-1-62708-190-0
Series: ASM Handbook
Volume: 20
Publisher: ASM International
Published: 01 January 1997
DOI: 10.31399/asm.hb.v20.a0002479
EISBN: 978-1-62708-194-8
... a very complex activity involving a convoluted mix of people skills and disciplines, machines and equipment, tooling, computers, and automation working together to form a manufacturing system. A manufacturing system comprises a large number of distinct functions and activities ( Fig. 1 ) that interact...
Series: ASM Handbook
Volume: 17
Publisher: ASM International
Published: 01 August 2018
DOI: 10.31399/asm.hb.v17.a0006462
EISBN: 978-1-62708-190-0
... Abstract Both nondestructive testing (NDT) and nondestructive evaluation (NDE) use noninvasive measurement techniques to gain information about defects and various properties of materials, components, and structures. This article begins with a discussion on the historical development...
Series: ASM Handbook
Volume: 24A
Publisher: ASM International
Published: 30 June 2023
DOI: 10.31399/asm.hb.v24A.9781627084390
EISBN: 978-1-62708-439-0