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contributor authorPark, SeHyuk
contributor authorAlnuaimi, Hamad
contributor authorHayes, Anna
contributor authorSitkiewicz, Madison
contributor authorAmjad, Umar
contributor authorMuralidharan, Krishna
contributor authorKundu, Tribikram
date accessioned2022-05-08T08:29:28Z
date available2022-05-08T08:29:28Z
date copyright1/12/2022 12:00:00 AM
date issued2022
identifier issn2572-3901
identifier othernde_5_2_021008.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4283991
description abstractUltrasonic wave based techniques are widely used for damage detection and for quantitative and qualitative characterization of materials. In this study, ultrasonic waves are used for probing the response of additively manufactured 316L stainless steel samples as their porosity changes. The additively manufactured stainless steel specimens were fabricated using a laser powder bed fusion (LPBF) metal 3D printer. Four different levels of porosity were obtained by suitably controlling the LPBF process parameters. For generating ultrasonic waves, lead zirconate titanate (PZT) transducers were used. The signals were generated and propagated through the specimens in a transmission mode setup. Both linear and nonlinear analyses were used during the signal processing of the recorded signals for damage characterization. Linear ultrasonic parameters such as the time-of-flight (related to wave velocity) and signal amplitude (related to wave attenuation) were recorded. The nonlinear ultrasonic parameter, Sideband Peak Count—Index (SPC-I), was obtained by a newly developed nonlinear analysis technique. The experimental results obtained for the specimens were analyzed and compared for both linear and nonlinear ultrasonic analyses. Finally, the effectiveness of the SPC-I technique in monitoring porosity levels in additively manufactured specimens is discussed.
publisherThe American Society of Mechanical Engineers (ASME)
titleNonlinear Acoustic Technique for Monitoring Porosity in Additively Manufactured Parts
typeJournal Paper
journal volume5
journal issue2
journal titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
identifier doi10.1115/1.4053252
journal fristpage21008-1
journal lastpage21008-6
page6
treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2022:;volume( 005 ):;issue: 002
contenttypeFulltext


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