Intelligent modeling of carbonized wood-silicon dioxide filled natural rubber composite for outer shoe sole manufacturing

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dc.authorscopusid55501799700
dc.authorscopusid58024591100
dc.authorscopusid58701670600
dc.authorscopusid36167954400
dc.authorscopusid57221286610
dc.authorscopusid37101564100
dc.authorscopusid57383781700
dc.contributor.authorOkafor, Christian Emeka
dc.contributor.authorIweriolor, Sunday
dc.contributor.authorNwekeoti, Chukwunakueze Arinze
dc.contributor.authorAkçakale, Nürettin
dc.contributor.authorEkwueme, Godspower Onyekachukwu
dc.contributor.authorIhueze, Christopher Chukwutoo
dc.contributor.authorEkengwu, Ignatius Echezona
dc.date.accessioned2024-09-25T19:45:09Z
dc.date.available2024-09-25T19:45:09Z
dc.date.issued2024
dc.departmentAbant İzzet Baysal Üniversitesien_US
dc.description.abstractLarge amount of wood dust is created as a byproduct of woodworking activities. Every year, there is an increase in wood dust generation, which severely pollutes the environment. Consequently, it becomes imperative to use wood dust in the production of useful products. A Carbonized Wood-Silicon Dioxide Filled Natural Rubber Composite (CWSDFNRC) was therefore created in this work using a compression molding method. The friction and compression properties of the composites were determined. Modeling of the composite's mechanical and friction characteristics was done using artificially intelligent techniques including Response Surface Methodology (RSM), Artificial Neural Network (ANN), and Adaptive Neuro-Fuzzy Inference System (ANFIS). The novel material was thermally analyzed using Dynamic Mechanical Analysis (DMA), Differential Scanning Calorimetry (DSC), Thermogravimetric Analysis (TGA), and Differential Thermal Analysis (DTA). The effectiveness of RSM, ANN, and ANFIS was demonstrated by relevant error indices. The optimization method revealed the ideal level of fitness at particle size, carbonization temperature, filler content, curing temperature, curing pressure, and curing time of 150 ?m, 214 °C, 51 phr, 150 °C, 3 Pa, and 10 min respectively. These fitness conditions gave an optimal value of 17.63 MPa for compressive strength and a friction coefficient of 0.96. The novel material's characteristics contrasted well with those of comparable materials described in the literature, suggesting that it has the potential to be used in the manufacture of outer shoe soles and other elastomeric applications. © 2023 The Authorsen_US
dc.identifier.doi10.1016/j.ijlmm.2023.07.003
dc.identifier.endpage86en_US
dc.identifier.issn2588-8404
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85177172857en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage72en_US
dc.identifier.urihttps://doi.org/10.1016/j.ijlmm.2023.07.003
dc.identifier.urihttps://hdl.handle.net/20.500.12491/12889
dc.identifier.volume7en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherKeAi Publishing Communications Ltd.en_US
dc.relation.ispartofInternational Journal of Lightweight Materials and Manufactureen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzYK_20240925en_US
dc.subjectANFISen_US
dc.subjectANNen_US
dc.subjectDMAen_US
dc.subjectNBIen_US
dc.subjectOuter shoe soleen_US
dc.subjectRSMen_US
dc.titleIntelligent modeling of carbonized wood-silicon dioxide filled natural rubber composite for outer shoe sole manufacturingen_US
dc.typeArticleen_US

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