Advancing Mechanical and Biological Characteristics of Polymer-Ceramic Nanocomposite Scaffolds for Sport Injuries and Bone Tissue Engineering: a Comprehensive Investigation Applying Finite Element Analysis and Artificial Neural Network

dc.authorscopusid 59401255300
dc.authorscopusid 57422522900
dc.authorscopusid 57970460100
dc.authorscopusid 23028598900
dc.authorscopusid 57196302815
dc.authorscopusid 57211635487
dc.authorwosid Basem, Ali/Abb-3357-2022
dc.contributor.author Lin, Fangbo
dc.contributor.author Basem, Ali
dc.contributor.author Khaddour, Mohammad H.
dc.contributor.author Salahshour, Soheil
dc.contributor.author Li, Wei
dc.contributor.author Sabetvand, R.
dc.date.accessioned 2025-02-17T18:49:58Z
dc.date.available 2025-02-17T18:49:58Z
dc.date.issued 2025
dc.department Okan University en_US
dc.department-temp [Lin, Fangbo] Cent South Univ, Affiliated Changsha Hosp, Xiangya Sch Med, Changsha 410005, Peoples R China; [Basem, Ali] Warith Al Anbiyaa Univ, Fac Engn, Karbala 56001, Iraq; [Khaddour, Mohammad H.] Al Amarah Univ Coll, Dept Petr Engn, Maysan, Iraq; [Salahshour, Soheil] Istanbul Okan Univ, Fac Engn & Nat Sci, Istanbul, Turkiye; [Salahshour, Soheil] Bahcesehir Univ, Fac Engn & Nat Sci, Istanbul, Turkiye; [Salahshour, Soheil] Piri Reis Univ, Fac Sci & Letters, Istanbul, Turkiye; [Li, Wei] Peoples Liberat Army Gen Hosp, Dept Sports Med, Med Ctr 4, Beijing 100048, Peoples R China; [Sabetvand, R.] Amirkabir Univ Technol, Fac Condensed Matter Phys, Dept Energy Engn & Phys, Tehran, Iran en_US
dc.description.abstract In recent years, the application of polymer-ceramic nanocomposite scaffolds in bone tissue engineering has received considerable attention due to their structural similarity to natural bone tissue. Polycaprolactone (PCL) has emerged as a viable material for the fabrication of porous bone scaffolds. Composites that incorporate PCL with ceramic phases, such as nanocrystalline hydroxyapatite (n-HA) and tricalcium phosphate (TCP), have shown promise in promoting bone formation. Nevertheless, the use of bone scaffolds with complex geometries that mimic human bone poses challenges regarding their mechanical properties, which is the primary focus of this study. To assess the mechanical behavior of triangular nanostructures, particularly their ultimate compressive strength, finite element analysis (FEA) and artificial neural network (ANN) techniques were utilized. The obtained results were compared to experimental and analytical data. Three samples with varying weight percentages (0.1, 0.2, and 0.3) of HA and TCP nanoparticles embedded in PCL polymer were fabricated using a 3D fused deposition modeling technique. Scanning electron microscope (SEM) analysis was conducted to evaluate the morphology, while apatite formation rate and weight loss in simulated body fluid (SBF) and phosphate buffer saline (PBS) solution were assessed. The results revealed that a porosity of 76 % increases the apatite formation and dissolution rates by 23 % and 39 %, respectively. The SEM images, in conjunction with the simulated FEA models, indicated that scaffolds containing 0.3 wt% TCP nanoparticles exhibited favorable mechanical and biological properties for bone fracture applications. Additionally, the influence of different weight percentages of TCP and HA on the mechanical properties of the scaffolds was investigated using ANN. A neural network model was developed by incorporating 0.2 of each additive within a range of 0.1-0.3 while evaluating output data including elastic modulus, compressive strength, tensile strength, and Poisson's ratio. The predicted mechanical properties of the porous scaffold were subsequently analyzed and discussed. en_US
dc.description.woscitationindex Science Citation Index Expanded
dc.identifier.citationcount 0
dc.identifier.doi 10.1016/j.ceramint.2025.01.115
dc.identifier.endpage 12773 en_US
dc.identifier.issn 0272-8842
dc.identifier.issn 1873-3956
dc.identifier.issue 10 en_US
dc.identifier.scopus 2-s2.0-105002267100
dc.identifier.scopusquality Q1
dc.identifier.startpage 12758 en_US
dc.identifier.uri https://doi.org/10.1016/j.ceramint.2025.01.115
dc.identifier.volume 51 en_US
dc.identifier.wos WOS:001483173200001
dc.identifier.wosquality Q1
dc.language.iso en en_US
dc.publisher Elsevier Sci Ltd en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 0
dc.subject Polymer-Ceramic Nanocomposite en_US
dc.subject Finite Element Analysis en_US
dc.subject Artificial Neural Network (ANN) en_US
dc.subject Mechanical Properties en_US
dc.subject Bone Tissue Engineering en_US
dc.title Advancing Mechanical and Biological Characteristics of Polymer-Ceramic Nanocomposite Scaffolds for Sport Injuries and Bone Tissue Engineering: a Comprehensive Investigation Applying Finite Element Analysis and Artificial Neural Network en_US
dc.type Article en_US

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