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dc.contributor.authorMehmood, Arshad
dc.contributor.authorAkhtar, Kareem
dc.contributor.authorNoor, Sahar
dc.contributor.authorZahir, M. Zeeshan
dc.contributor.authorUllah, Barkat
dc.contributor.authorKhan, Razaullah
dc.contributor.authorSalah, Bashir
dc.contributor.authorSajid Ullah, Syed
dc.date.accessioned2024-04-15T11:59:42Z
dc.date.available2024-04-15T11:59:42Z
dc.date.created2023-07-03T09:12:28Z
dc.date.issued2023
dc.identifier.citationMehmood, A., Akhtar, K., Noor, S., Zahir, M. Z., Ullah, B., Khan, R., Salah, B. & Sajid Ullah, S. (2023). Experimental study to optimize cold working, aging temperature, and time on the properties of AA6061 tubes: analysis using design of experiment. Frontiers in Materials, 10, Article 1199099.en_US
dc.identifier.issn2296-8016
dc.identifier.urihttps://hdl.handle.net/11250/3126562
dc.description.abstractThe purpose of this study is to examine the impact of various process parameters, such as cold work, aging temperature, and aging time, on the yield strength, ultimate tensile strength (UTS), and elongation of AA6061 tubes. The experimental plan is carried out, and the data is analyzed using Design Expert software. Main effects plots and interaction plots are generated to visually examine the effects of individual factors and the interaction between two factors on the output response variables. ANOVA analysis is conducted to assess the statistical significance of the model and individual model coefficients. The results reveal that all input factors had a significant impact on yield, whereas cold work and temperature and their interaction are significant for UTS. However, the model is not significant for elongation. The most notable finding is that the aging temperature’s effect is significant than the other two factors. These study findings can inform future experiments or process optimization efforts by considering the combined impact of these factors and their interactions. The study also found that the optimal temperature range is between 155°C to 170°C, along with a recommended cold work percentage of 10% or more and preferred time of above 10 h up to overage time. The model achieved an overall accuracy rate of over 90%, indicating its ability to predict the response variable with a high degree of precisionen_US
dc.language.isoengen_US
dc.publisherFrontiersen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleExperimental study to optimize cold working, aging temperature, and time on the properties of AA6061 tubes: analysis using design of experimenten_US
dc.title.alternativeExperimental study to optimize cold working, aging temperature, and time on the properties of AA6061 tubes: analysis using design of experimenten_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2023 The Author(s)en_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Basale biofag: 470en_US
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en_US
dc.source.volume10en_US
dc.source.journalFrontiers in Materialsen_US
dc.identifier.doihttps://doi.org/10.3389/fmats.2023.1199099
dc.identifier.cristin2160188
dc.source.articlenumber1199099
cristin.qualitycode1


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