dc.contributor.author |
Moore, K
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|
dc.contributor.author |
Kouprianoff, D
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|
dc.contributor.author |
Louw, Daniel F
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|
dc.contributor.author |
Yadroitsava, I
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|
dc.contributor.author |
Yadroitsev, I
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|
dc.date.accessioned |
2024-02-07T06:58:38Z |
|
dc.date.available |
2024-02-07T06:58:38Z |
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dc.date.issued |
2023-12 |
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dc.identifier.citation |
Moore, K., Kouprianoff, D., Louw, D.F., Yadroitsava, I. & Yadroitsev, I. 2023. Monitoring for cracks in metal l-pbf using gas-borne acoustic emission. <i>The South African Journal of Industrial Engineering, 34(4).</i> http://hdl.handle.net/10204/13589 |
en_ZA |
dc.identifier.issn |
2224-7890 |
|
dc.identifier.uri |
https://doi.org/10.7166/34-4-2981
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|
dc.identifier.uri |
http://hdl.handle.net/10204/13589
|
|
dc.description.abstract |
Delaminations and cracks are detrimental phenomena that hinder the quality of the final product in metal additive manufacturing. The effective use of other online monitoring systems that can detect these deformations and delaminations during the manufacturing process is currently being developed and implemented in practice. In this paper, gas-borne acoustic emission is used to show that cracks/delaminations that occur during the metal laser powder bed fusion build process can be detected and distinguished from other machine noise. The peaks in the amplitude of the signal emitted in the time domain could be used to indicate the occurrence of cracks during the build process. The frequency characteristics of the signal could also clearly indicate the occurrence of the macro cracks and differentiate between the signals from the cracks and the machine noise. |
en_US |
dc.format |
Fulltext |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://sajie.journals.ac.za/pub/article/view/2981 |
en_US |
dc.source |
The South African Journal of Industrial Engineering, 34(4) |
en_US |
dc.subject |
Laser powder bed fusion |
en_US |
dc.subject |
L-PBF |
en_US |
dc.subject |
Additive manufacturing |
en_US |
dc.subject |
Acoustic emission |
en_US |
dc.subject |
AE |
en_US |
dc.title |
Monitoring for cracks in metal l-pbf using gas-borne acoustic emission |
en_US |
dc.type |
Article |
en_US |
dc.description.pages |
147–154 |
en_US |
dc.description.note |
This is the preprint version of the published item. |
en_US |
dc.description.cluster |
Manufacturing |
en_US |
dc.description.impactarea |
Laser Enabled Manufacturing |
en_US |
dc.identifier.apacitation |
Moore, K., Kouprianoff, D., Louw, D. F., Yadroitsava, I., & Yadroitsev, I. (2023). Monitoring for cracks in metal l-pbf using gas-borne acoustic emission. <i>The South African Journal of Industrial Engineering, 34(4)</i>, http://hdl.handle.net/10204/13589 |
en_ZA |
dc.identifier.chicagocitation |
Moore, K, D Kouprianoff, Daniel F Louw, I Yadroitsava, and I Yadroitsev "Monitoring for cracks in metal l-pbf using gas-borne acoustic emission." <i>The South African Journal of Industrial Engineering, 34(4)</i> (2023) http://hdl.handle.net/10204/13589 |
en_ZA |
dc.identifier.vancouvercitation |
Moore K, Kouprianoff D, Louw DF, Yadroitsava I, Yadroitsev I. Monitoring for cracks in metal l-pbf using gas-borne acoustic emission. The South African Journal of Industrial Engineering, 34(4). 2023; http://hdl.handle.net/10204/13589. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Moore, K
AU - Kouprianoff, D
AU - Louw, Daniel F
AU - Yadroitsava, I
AU - Yadroitsev, I
AB - Delaminations and cracks are detrimental phenomena that hinder the quality of the final product in metal additive manufacturing. The effective use of other online monitoring systems that can detect these deformations and delaminations during the manufacturing process is currently being developed and implemented in practice. In this paper, gas-borne acoustic emission is used to show that cracks/delaminations that occur during the metal laser powder bed fusion build process can be detected and distinguished from other machine noise. The peaks in the amplitude of the signal emitted in the time domain could be used to indicate the occurrence of cracks during the build process. The frequency characteristics of the signal could also clearly indicate the occurrence of the macro cracks and differentiate between the signals from the cracks and the machine noise.
DA - 2023-12
DB - ResearchSpace
DP - CSIR
J1 - The South African Journal of Industrial Engineering, 34(4)
KW - Laser powder bed fusion
KW - L-PBF
KW - Additive manufacturing
KW - Acoustic emission
KW - AE
LK - https://researchspace.csir.co.za
PY - 2023
SM - 2224-7890
T1 - Monitoring for cracks in metal l-pbf using gas-borne acoustic emission
TI - Monitoring for cracks in metal l-pbf using gas-borne acoustic emission
UR - http://hdl.handle.net/10204/13589
ER -
|
en_ZA |
dc.identifier.worklist |
27567 |
en_US |