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Response surface methodology for modelling tribological behaviour of maraging steel 300 parts manufactured by laser powder bed fusion

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dc.contributor.author Maodzeka, DK
dc.contributor.author Mosalagae, M
dc.contributor.author Hagedorn-Hansen, D
dc.contributor.author Pityana, Sisa L
dc.contributor.author Olakanmi, EO
dc.date.accessioned 2024-01-11T09:04:13Z
dc.date.available 2024-01-11T09:04:13Z
dc.date.issued 2023-06
dc.identifier.citation Maodzeka, D., Mosalagae, M., Hagedorn-Hansen, D., Pityana, S.L. & Olakanmi, E. 2023. Response surface methodology for modelling tribological behaviour of maraging steel 300 parts manufactured by laser powder bed fusion. http://hdl.handle.net/10204/13500 . en_ZA
dc.identifier.isbn 978-0-7354-4455-3
dc.identifier.uri https://doi.org/10.1063/5.0126287
dc.identifier.uri http://hdl.handle.net/10204/13500
dc.description.abstract Knowledge of friction properties of a material is essential in order to understand its tribological applications. The friction is an important aspect that affects functionality of maraging steel components manufactured by laser powder bed fusion (LPBF). Although friction and wear reduces stability and reliability of vulnerable parts, the friction is beneficial in other applications. A response surface methodology (RSM) model was developed in order to predict and optimise the coefficient of friction (COF) of LPBF manufactured maraging steel 300 parts. The model data was obtained from a series of experiments by varying the following LPBF processing variables; laser power, scan speed and hatch spacing. The RSM model results were consistent with the experiment values. A minimum COF value = 0.109 was predicted under LPBF processing parameters laser power = 130W, scanning speed = 750mm/s and hatch spacing = 104µm. Maximum COF = 0.166 was obtained at laser power = 130, scanning speed = 400mm/s and hatch spacing = 110µm. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri https://pubs.aip.org/aip/acp/article-abstract/2581/1/030008/2894180/Response-surface-methodology-for-modelling?redirectedFrom=PDF en_US
dc.source Proceedings of the 3rd International Conference on Engineering Facilities Maintenance and Management Technologies (EFM2T’21), June 2023 en_US
dc.subject Coefficient of Friction en_US
dc.subject Laser powder bed fusion en_US
dc.subject Maraging Steel 300 en_US
dc.subject Optimisation en_US
dc.subject Response surface methodology en_US
dc.title Response surface methodology for modelling tribological behaviour of maraging steel 300 parts manufactured by laser powder bed fusion en_US
dc.type Conference Presentation en_US
dc.description.pages 9pp en_US
dc.description.note Paper presented during the 3rd International Conference on Engineering Facilities Maintenance and Management Technologies (EFM2T’21), June 2023. ©2023 Authors. Published by AIP Publishing. en_US
dc.description.cluster Manufacturing en_US
dc.description.impactarea Laser Enabled Manufacturing en_US
dc.identifier.apacitation Maodzeka, D., Mosalagae, M., Hagedorn-Hansen, D., Pityana, S. L., & Olakanmi, E. (2023). Response surface methodology for modelling tribological behaviour of maraging steel 300 parts manufactured by laser powder bed fusion. http://hdl.handle.net/10204/13500 en_ZA
dc.identifier.chicagocitation Maodzeka, DK, M Mosalagae, D Hagedorn-Hansen, Sisa L Pityana, and EO Olakanmi. "Response surface methodology for modelling tribological behaviour of maraging steel 300 parts manufactured by laser powder bed fusion." <i>Proceedings of the 3rd International Conference on Engineering Facilities Maintenance and Management Technologies (EFM2T’21), June 2023</i> (2023): http://hdl.handle.net/10204/13500 en_ZA
dc.identifier.vancouvercitation Maodzeka D, Mosalagae M, Hagedorn-Hansen D, Pityana SL, Olakanmi E, Response surface methodology for modelling tribological behaviour of maraging steel 300 parts manufactured by laser powder bed fusion; 2023. http://hdl.handle.net/10204/13500 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Maodzeka, DK AU - Mosalagae, M AU - Hagedorn-Hansen, D AU - Pityana, Sisa L AU - Olakanmi, EO AB - Knowledge of friction properties of a material is essential in order to understand its tribological applications. The friction is an important aspect that affects functionality of maraging steel components manufactured by laser powder bed fusion (LPBF). Although friction and wear reduces stability and reliability of vulnerable parts, the friction is beneficial in other applications. A response surface methodology (RSM) model was developed in order to predict and optimise the coefficient of friction (COF) of LPBF manufactured maraging steel 300 parts. The model data was obtained from a series of experiments by varying the following LPBF processing variables; laser power, scan speed and hatch spacing. The RSM model results were consistent with the experiment values. A minimum COF value = 0.109 was predicted under LPBF processing parameters laser power = 130W, scanning speed = 750mm/s and hatch spacing = 104µm. Maximum COF = 0.166 was obtained at laser power = 130, scanning speed = 400mm/s and hatch spacing = 110µm. DA - 2023-06 DB - ResearchSpace DP - CSIR J1 - Proceedings of the 3rd International Conference on Engineering Facilities Maintenance and Management Technologies (EFM2T’21), June 2023 KW - Coefficient of Friction KW - Laser powder bed fusion KW - Maraging Steel 300 KW - Optimisation KW - Response surface methodology LK - https://researchspace.csir.co.za PY - 2023 SM - 978-0-7354-4455-3 T1 - Response surface methodology for modelling tribological behaviour of maraging steel 300 parts manufactured by laser powder bed fusion TI - Response surface methodology for modelling tribological behaviour of maraging steel 300 parts manufactured by laser powder bed fusion UR - http://hdl.handle.net/10204/13500 ER - en_ZA
dc.identifier.worklist 27339 en_US


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