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dc.contributor.authorNatrayan, L.
dc.contributor.authorJanardhan, Gorti
dc.contributor.authorParamasivam, Prabhu
dc.contributor.authorDhanasekaran, Seshathiri
dc.date.accessioned2024-01-22T13:18:44Z
dc.date.available2024-01-22T13:18:44Z
dc.date.issued2023-11-24
dc.description.abstractThis research aims to investigate the mechanical performance of the different weight proportions of nano-TiO<sub>2</sub> combined with Kevlar fiber-based hybrid composites under cryogenic conditions. The following parameters were thus considered: (i) Kevlar fiber mat type (100 and 200 gsm); (ii) weight proportions of TiO2 nanofiller (2 and 6 wt%); and (iii) cryogenic processing time (10–30 min at −196°C). The composites were fabricated through compression molding techniques. After fabrication, the mechanical characteristics of the prepared nanocomposites—such as tensile, bending, and impact properties—were evaluated. The optimal mechanical strength of nanofiller-based composites was analyzed using response surface methodology (RSM) and artificial neural networks (ANNs). Compositions, such as four weight percentages of nano-TiO<sub>2</sub> filler, 200 gsm of the Kevlar fiber mat, and 20 min of cryogenic treatment, were shown to produce the maximum mechanical strength (65.47 MPa of tensile, 97.34 MPa of flexural, and 52.82 J/m<sup>2</sup> of impact). This is because residual strains are produced at low temperatures (cryogenic treatment) due to unstable matrices and fiber contraction. This interfacial stress helps maintain a relationship between the reinforcement and resin and improves adhesion, leading to improved results. Based on statistical evaluation, the ratio of correlation (<i>R<sup>2</sup></i>), mean square deviation, and average error function of the experimental and validation data sets of the experimental models were analyzed. The ANN displays 0.9864 values for impact, 0.9842 for flexural, and 0.9764 for tensile. ANN and RSM models were used to forecast the mechanical efficiency of the suggested nanocomposites with up to 95% reliability.en_US
dc.identifier.citationNatrayan, Janardhan, Paramasivam, Dhanasekaran. Enhancing mechanical performance of TiO<inf>2</inf> filler with Kevlar/epoxy-based hybrid composites in a cryogenic environment: a statistical optimization study using RSM and ANN methods. Frontiers in Materials. 2023;10
dc.identifier.cristinIDFRIDAID 2215252
dc.identifier.doi10.3389/fmats.2023.1267514
dc.identifier.issn2296-8016
dc.identifier.urihttps://hdl.handle.net/10037/32671
dc.language.isoengen_US
dc.publisherFrontiers Mediaen_US
dc.relation.journalFrontiers in Materials
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleEnhancing mechanical performance of TiO<inf>2</inf> filler with Kevlar/epoxy-based hybrid composites in a cryogenic environment: a statistical optimization study using RSM and ANN methodsen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution 4.0 International (CC BY 4.0)