Publication:
Mechanical and Thermal Behavior of Hemp-Reinforced Starch/Agar Biocomposites: Insights From Finite Element Simulation and Machine Learning Models

dc.authorscopusid59170322800
dc.authorscopusid57188552484
dc.authorscopusid6507730785
dc.authorscopusid6602862866
dc.authorwosidInanc, Ibrahim/A-5624-2018
dc.authorwosidUngureanu, Nicoleta/Abb-1472-2020
dc.contributor.authorNaeimi, Ehsan Fartash
dc.contributor.authorSelvi, Kemal Çağatay
dc.contributor.authorInanc, Ibrahim
dc.contributor.authorUngureanu, Nicoleta
dc.contributor.authorIDFartash Naeimi, Ehsan/0000-0001-7230-6365
dc.contributor.authorIDUngureanu, Nicoleta/0000-0002-4404-6719
dc.contributor.authorIDInanc, Ibrahim/0000-0003-1988-1197
dc.date.accessioned2025-12-11T01:27:10Z
dc.date.issued2025
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Naeimi, Ehsan Fartash; Selvi, Kemal Cagatay] Ondokuz Mayis Univ, Fac Agr, Dept Agr Machinery & Technol Engn, TR-55139 Samsun, Turkiye; [Inanc, Ibrahim] Ondokuz Mayis Univ, Fac Engn, Dept Met & Mat Engn, TR-55139 Samsun, Turkiye; [Ungureanu, Nicoleta] Natl Univ Sci & Technol Politehn Bucharest, Fac Biotech Syst Engn, Dept Biotech Syst, Bucharest 060042, Romaniaen_US
dc.descriptionFartash Naeimi, Ehsan/0000-0001-7230-6365; Ungureanu, Nicoleta/0000-0002-4404-6719; Inanc, Ibrahim/0000-0003-1988-1197;en_US
dc.description.abstractThe increasing effects of plastic pollution have led to the study of eco-friendly and biodegradable alternatives. The present study concerns the production and characterization of biocomposite films from starch, agar, and alkaline/peroxide-treated hemp fiber powder. In total, nine films were fabricated with variable ratios of starch-agar (0, 0.5, and 0.75) and hemp fiber (0, 15, and 30 wt.%). The physical, mechanical, and thermal properties of these films were evaluated. Tensile tests demonstrated that adding 30% hemp fiber increased Young's modulus, while 15% fiber decreased tensile strength. In the SAH group, adding 1.5 g of agar significantly improved tensile strength and Young's modulus, especially in the SAH30 sample. Finite element simulations of tensile tests showed remarkable agreement with experimental data. Machine learning models (SVM and GP) were used to predict tensile strength, with the SVM model using the RBF kernel showing the highest accuracy (R2 = 0.938). Impact tests indicated that resistance was improved by agar, with the SAH group showing optimal stress distribution and energy absorption. Steady-state and transient thermal analyses showed that hemp fiber increased thermal resistance, and heat stress depended mainly on composition, especially agar and fiber. This research accentuates the potential of hemp fiber and agar to improve the properties of starch-based films and thereby opens routes toward sustainable material development.en_US
dc.description.sponsorshipNational University of Science and Technology Politehnica Bucharest, Romania, within the PubArt Program; National University of Science and Technology Politehnica Bucharest, Romaniaen_US
dc.description.sponsorshipThe APC was funded by the National University of Science and Technology Politehnica Bucharest, Romania, within the PubArt Program.en_US
dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.doi10.3390/polym17070855
dc.identifier.issn2073-4360
dc.identifier.issue7en_US
dc.identifier.pmid40219246
dc.identifier.scopus2-s2.0-105002440529
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/polym17070855
dc.identifier.urihttps://hdl.handle.net/20.500.12712/43846
dc.identifier.volume17en_US
dc.identifier.wosWOS:001463627300001
dc.identifier.wosqualityQ1
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.ispartofPolymersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectIndustrial Hempen_US
dc.subjectAlkaline/Peroxide Pretreatmenten_US
dc.subjectNatural Reinforcing Agentsen_US
dc.subjectBiocomposite Filmsen_US
dc.subjectFinite Element Methoden_US
dc.subjectMachine Learningen_US
dc.titleMechanical and Thermal Behavior of Hemp-Reinforced Starch/Agar Biocomposites: Insights From Finite Element Simulation and Machine Learning Modelsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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