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dc.contributor.authorAllam, Ahmed
dc.contributor.authorSugino, Christopher
dc.contributor.authorHarding, Matthew
dc.contributor.authorBishop, D. Paul
dc.contributor.authorErturk, Alper
dc.contributor.authorRuzzene, Massimo
dc.date.accessioned2022-02-06T05:47:16Z
dc.date.available2022-02-06T05:47:16Z
dc.date.copyright5/12/2021 12:00:00 AM
dc.date.issued2021
dc.identifier.issn2572-3901
dc.identifier.othernde_4_4_041006.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4278760
dc.description.abstractWe investigate the use of phased array ultrasonic testing (PAUT) as an offsite non-destructive quality assurance technique for parts made by selective laser melting (SLM). SLM is a popular additive manufacturing (AM) approach for fabricating high-value metallic components with complex geometries. Slight variations in the laser power during fabrication might lead to internal defect development within the part, which could compromise its mechanical strength and fatigue life. PAUT is employed to detect typical internal porosity generated in Inconel 625 samples due to laser power fluctuation during SLM. The typical defect size, shape, and distribution are first identified using metallography and X-ray computed tomography (XCT). B-Scan images of the defect region is then generated experimentally using a 5-MHz linear UT phased array probe. Finite elements simulate wave propagation using geometries obtained from XCT images. The simulation results are compared to the experimental imaging of large defect regions and then used to generate total focusing method images of isolated clusters of 50–200 μm defects. The testing technique illustrates a successful application of PAUT for quality inspection of SLM parts.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titlePhased Array Ultrasonic Testing of Inconel 625 Produced by Selective Laser Melting
dc.typeJournal Paper
dc.journal.volume4
dc.journal.issue4
dc.journal.titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
dc.identifier.doi10.1115/1.4050963
dc.journal.fristpage041006-1
dc.journal.lastpage041006-8
dc.page8
dc.treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2021:;volume( 004 ):;issue: 004
dc.contenttypeFulltext


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