Hidzer, Muhammad Hamizan, Sapiee, Nurul Haiza, Rahman, Wan Mohd Nazri Wan Abdul, Le, Chi Hieu ORCID: https://orcid.org/0000-0002-5168-2297, Nguyen, Ho Quang, Mahmud, Jamaluddin and Le, Chi Hieu (2025) Leucaena-silicone biocomposite: experimentation, quantification and prediction of mechanical properties for potential applications in medicine and healthcare. International Journal of Automotive and Mechanical Engineering, 22 (2). pp. 12332-12343. ISSN 2229-8649 (Print), 2180-1606 (Online) (doi:10.15282/ijame.22.2.2025.7.0944)

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PDF (Open Access Article) 50678 LE_Leucaena-Silicone_Biocomposite_Experimentation_Quantification_And_Prediction_Of_Mechanical_Properties_For_Potential_Applications_In_Medicine_And_Healthcare_(OA)_2025.pdf - Published Version Available under License Creative Commons Attribution Non-commercial. Download (691kB) | Preview

Abstract

Silicone rubber, in general, possesses super soft physical behavior, which is not suitable for structural applications. Therefore, this study aims to introduce an innovative biocomposite material combining Leucaena and Silicone, named LeuSiC, to establish its physical and mechanical properties for possible medical applications. Various Leucaena fiber compositions ranging from 0 wt% to 16 wt% were mixed with pure silicone rubber, where density, compression set, and uniaxial tensile behavior were experimentally investigated following ASTM standards. The Ogden hyperelastic constitutive was employed to quantify the tensile behavior of LeuSiC via material constants, µ and material exponent, α. Additionally, the tensile properties of LeuSiC were also predicted using Artificial Neural Network (ANN). The results revealed that the material constants, µ value, increased with higher Leucaena fiber composition, indicating stiffness increment. In contrast, increasing fiber composition reduced the tensile strength and flexibility of LeuSiC. In terms of prediction using ANN, the results proved the capability of the constructed neural network model, where the error was less than 0.4%. The quantified and predicted properties of µ and α range from 5.4 to 55.9 kPa and 2.16 to 3.0 respectively, suggest that LeuSiC has the potential to mimic and be made into synthetic connective tissues.

Item Type:	Article
Uncontrolled Keywords:	leucaena, silicone, biocomposite, hyperelastic, Ogden, Artificial Neural Network
Subjects:	Q Science > Q Science (General) R Medicine > R Medicine (General) T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Engineering (ENG)
Last Modified:	11 Jun 2025 09:31
URI:	http://gala.gre.ac.uk/id/eprint/50678

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