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Monitoring for cracks in metal l-pbf using gas-borne acoustic emission

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dc.contributor.author Moore, K
dc.contributor.author Kouprianoff, D
dc.contributor.author Louw, Daniel F
dc.contributor.author Yadroitsava, I
dc.contributor.author Yadroitsev, I
dc.date.accessioned 2024-02-07T06:58:38Z
dc.date.available 2024-02-07T06:58:38Z
dc.date.issued 2023-12
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
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


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