Nonlinear Acoustic Technique for Monitoring Porosity in Additively Manufactured PartsSource: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2022:;volume( 005 ):;issue: 002::page 21008-1Author:Park, SeHyuk
,
Alnuaimi, Hamad
,
Hayes, Anna
,
Sitkiewicz, Madison
,
Amjad, Umar
,
Muralidharan, Krishna
,
Kundu, Tribikram
DOI: 10.1115/1.4053252Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Ultrasonic 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.
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| contributor author | Park, SeHyuk | |
| contributor author | Alnuaimi, Hamad | |
| contributor author | Hayes, Anna | |
| contributor author | Sitkiewicz, Madison | |
| contributor author | Amjad, Umar | |
| contributor author | Muralidharan, Krishna | |
| contributor author | Kundu, Tribikram | |
| date accessioned | 2022-05-08T08:29:28Z | |
| date available | 2022-05-08T08:29:28Z | |
| date copyright | 1/12/2022 12:00:00 AM | |
| date issued | 2022 | |
| identifier issn | 2572-3901 | |
| identifier other | nde_5_2_021008.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4283991 | |
| description abstract | Ultrasonic 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. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Nonlinear Acoustic Technique for Monitoring Porosity in Additively Manufactured Parts | |
| type | Journal Paper | |
| journal volume | 5 | |
| journal issue | 2 | |
| journal title | Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems | |
| identifier doi | 10.1115/1.4053252 | |
| journal fristpage | 21008-1 | |
| journal lastpage | 21008-6 | |
| page | 6 | |
| tree | Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2022:;volume( 005 ):;issue: 002 | |
| contenttype | Fulltext |