Quantifying and Predicting the Tensile Properties of Silicone Reinforced with Moringa oleifera Bark Fibers
To obtain a better understanding of using Moringa oleifera bark (MOB) as a reinforcement in a silicone matrix, this study aimed to define the mechanical properties of this new material under uniaxial tension. Composite samples of 0 wt%, 4 wt%, 8 wt%, 12 wt%, and 16 wt% MOB powder were produced. The...
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North Carolina State University
2025
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| author | Ab Patar M.N.A. Manssor N.A.S. Isa M.R. Jusoh N.A.I. Abd Latif M.J. Sivasankaran P.N. Mahmud J. |
| author2 | 54394011300 |
| author_facet | 54394011300 Ab Patar M.N.A. Manssor N.A.S. Isa M.R. Jusoh N.A.I. Abd Latif M.J. Sivasankaran P.N. Mahmud J. |
| author_sort | Ab Patar M.N.A. |
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| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | To obtain a better understanding of using Moringa oleifera bark (MOB) as a reinforcement in a silicone matrix, this study aimed to define the mechanical properties of this new material under uniaxial tension. Composite samples of 0 wt%, 4 wt%, 8 wt%, 12 wt%, and 16 wt% MOB powder were produced. The tensile properties were quantified mathematically using the neo-Hookean hyperelastic model. The collected data were employed to establish multiple inputs of an artificial neural network (ANN) to predict its material constant via MATLAB. The result showed that the material constant for the 16 wt% fiber content sample was 63.9% higher than pure silicone. This was supported by the tensile modulus testing, which indicated that the modulus increased as the fiber content increased. However, the elongation ratio (?) of the MOB-silicone biocomposite decreased slightly compared to the pure silicone. Lastly, the prediction of the material constant using an ANN recorded a 2.03% percentage error, which showed that it was comparable to the mathematical modelling. Therefore, the inclusion of MOB fibers into silicone produced a stiffer material and gradually improved the composite. Furthermore, the network that had multiple inputs (weighting, load, and elongation) was more reliable to produce precise predictions. ? 2024, North Carolina State University. All rights reserved. |
| format | Review |
| id | my.uniten.dspace-36645 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | North Carolina State University |
| record_format | dspace |
| spelling | my.uniten.dspace-366452025-03-03T15:43:37Z Quantifying and Predicting the Tensile Properties of Silicone Reinforced with Moringa oleifera Bark Fibers Ab Patar M.N.A. Manssor N.A.S. Isa M.R. Jusoh N.A.I. Abd Latif M.J. Sivasankaran P.N. Mahmud J. 54394011300 57196046283 57193957146 55793913200 56136708400 56183780500 57200674664 Bark Elasticity Fibers Forecasts Moringa Neural Networks Polysilicones Tensile Properties Elasticity Fibers Forecasting Neural networks Reinforced plastics Tensile testing Bark fiber Biocomposite Fibers content Hyperelastic models Materials constants matrix Moringa oleifera Multiple inputs Neo-hookean hyperelastic model Silicone biocomposite Silicones To obtain a better understanding of using Moringa oleifera bark (MOB) as a reinforcement in a silicone matrix, this study aimed to define the mechanical properties of this new material under uniaxial tension. Composite samples of 0 wt%, 4 wt%, 8 wt%, 12 wt%, and 16 wt% MOB powder were produced. The tensile properties were quantified mathematically using the neo-Hookean hyperelastic model. The collected data were employed to establish multiple inputs of an artificial neural network (ANN) to predict its material constant via MATLAB. The result showed that the material constant for the 16 wt% fiber content sample was 63.9% higher than pure silicone. This was supported by the tensile modulus testing, which indicated that the modulus increased as the fiber content increased. However, the elongation ratio (?) of the MOB-silicone biocomposite decreased slightly compared to the pure silicone. Lastly, the prediction of the material constant using an ANN recorded a 2.03% percentage error, which showed that it was comparable to the mathematical modelling. Therefore, the inclusion of MOB fibers into silicone produced a stiffer material and gradually improved the composite. Furthermore, the network that had multiple inputs (weighting, load, and elongation) was more reliable to produce precise predictions. ? 2024, North Carolina State University. All rights reserved. Final 2025-03-03T07:43:37Z 2025-03-03T07:43:37Z 2024 Review 10.15376/biores.19.2.3461-3474 2-s2.0-85191732886 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191732886&doi=10.15376%2fbiores.19.2.3461-3474&partnerID=40&md5=5507bb206ab72ba28eaea74064a06710 https://irepository.uniten.edu.my/handle/123456789/36645 19 2 3461 3474 All Open Access; Gold Open Access North Carolina State University Scopus |
| spellingShingle | Bark Elasticity Fibers Forecasts Moringa Neural Networks Polysilicones Tensile Properties Elasticity Fibers Forecasting Neural networks Reinforced plastics Tensile testing Bark fiber Biocomposite Fibers content Hyperelastic models Materials constants matrix Moringa oleifera Multiple inputs Neo-hookean hyperelastic model Silicone biocomposite Silicones Ab Patar M.N.A. Manssor N.A.S. Isa M.R. Jusoh N.A.I. Abd Latif M.J. Sivasankaran P.N. Mahmud J. Quantifying and Predicting the Tensile Properties of Silicone Reinforced with Moringa oleifera Bark Fibers |
| title | Quantifying and Predicting the Tensile Properties of Silicone Reinforced with Moringa oleifera Bark Fibers |
| title_full | Quantifying and Predicting the Tensile Properties of Silicone Reinforced with Moringa oleifera Bark Fibers |
| title_fullStr | Quantifying and Predicting the Tensile Properties of Silicone Reinforced with Moringa oleifera Bark Fibers |
| title_full_unstemmed | Quantifying and Predicting the Tensile Properties of Silicone Reinforced with Moringa oleifera Bark Fibers |
| title_short | Quantifying and Predicting the Tensile Properties of Silicone Reinforced with Moringa oleifera Bark Fibers |
| title_sort | quantifying and predicting the tensile properties of silicone reinforced with moringa oleifera bark fibers |
| topic | Bark Elasticity Fibers Forecasts Moringa Neural Networks Polysilicones Tensile Properties Elasticity Fibers Forecasting Neural networks Reinforced plastics Tensile testing Bark fiber Biocomposite Fibers content Hyperelastic models Materials constants matrix Moringa oleifera Multiple inputs Neo-hookean hyperelastic model Silicone biocomposite Silicones |
| url_provider | http://dspace.uniten.edu.my/ |