Influence of Silane‐Treated Jute/Kenaf Fibers on the Mechanical Properties of Polymer Composites for Biomedical Applications: Optimization Using RSM and ANN Approaches
ABSTRACT This study investigates the effect of silane‐treated jute/kenaf fibers on the flexural and hardness properties of polymer composites for potential biomedical applications, such as prosthetics and bio‐implants. Using response surface methodology (RSM) and artificial neural network (ANN), the...
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Wiley
2025-01-01
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| Series: | Engineering Reports |
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| Online Access: | https://doi.org/10.1002/eng2.13059 |
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| author | R. Saravanan S. Jothi Arunachalam T. Sathish Jayant Giri Muhammad Imam Ammarullah |
| author_facet | R. Saravanan S. Jothi Arunachalam T. Sathish Jayant Giri Muhammad Imam Ammarullah |
| author_sort | R. Saravanan |
| collection | DOAJ |
| description | ABSTRACT This study investigates the effect of silane‐treated jute/kenaf fibers on the flexural and hardness properties of polymer composites for potential biomedical applications, such as prosthetics and bio‐implants. Using response surface methodology (RSM) and artificial neural network (ANN), the optimal combination of nanoparticle percentage, silane concentration, and silane dipping duration was identified to enhance the mechanical properties of the composites. RSM, coupled with analysis of variance (ANOVA), evaluated the influence of these variables on composite performance, revealing that silane treatment significantly improved flexural strength, while all fiber‐related variables impacted both flexural strength and hardness. The silane dipping duration emerged as the most influential factor, with nanoparticle addition enhancing fiber–matrix interactions and promoting better agglomeration. The ANN model accurately predicted the composite's properties, with results strongly correlating to experimental data. The optimized formulation, consisting of 5% nanoparticle content, 10% silane treatment, and a 20‐min silane dipping duration, demonstrated a 26.22% increase in flexural strength and a 33.15% improvement in hardness. This optimized composite formulation holds promise for use in biomedical applications requiring high mechanical strength and durability, such as in prosthetic materials and orthopedic implants, where enhanced flexural strength and hardness are critical for longevity and performance. |
| format | Article |
| id | doaj-art-ef9cd9b8d47147568555998562c00aea |
| institution | Kabale University |
| issn | 2577-8196 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Engineering Reports |
| spelling | doaj-art-ef9cd9b8d47147568555998562c00aea2025-01-31T00:22:49ZengWileyEngineering Reports2577-81962025-01-0171n/an/a10.1002/eng2.13059Influence of Silane‐Treated Jute/Kenaf Fibers on the Mechanical Properties of Polymer Composites for Biomedical Applications: Optimization Using RSM and ANN ApproachesR. Saravanan0S. Jothi Arunachalam1T. Sathish2Jayant Giri3Muhammad Imam Ammarullah4Department of Mechanical Engineering Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University Chennai Tamil Nadu IndiaDepartment of Mechanical Engineering Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University Chennai Tamil Nadu IndiaDepartment of Mechanical Engineering Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University Chennai Tamil Nadu IndiaDepartment of Mechanical Engineering Yeshwantrao Chavan College of Engineering Nagpur India Maharashtra IndiaDepartment of Mechanical Engineering, Faculty of Engineering Universitas Diponegoro Semarang Central Java IndonesiaABSTRACT This study investigates the effect of silane‐treated jute/kenaf fibers on the flexural and hardness properties of polymer composites for potential biomedical applications, such as prosthetics and bio‐implants. Using response surface methodology (RSM) and artificial neural network (ANN), the optimal combination of nanoparticle percentage, silane concentration, and silane dipping duration was identified to enhance the mechanical properties of the composites. RSM, coupled with analysis of variance (ANOVA), evaluated the influence of these variables on composite performance, revealing that silane treatment significantly improved flexural strength, while all fiber‐related variables impacted both flexural strength and hardness. The silane dipping duration emerged as the most influential factor, with nanoparticle addition enhancing fiber–matrix interactions and promoting better agglomeration. The ANN model accurately predicted the composite's properties, with results strongly correlating to experimental data. The optimized formulation, consisting of 5% nanoparticle content, 10% silane treatment, and a 20‐min silane dipping duration, demonstrated a 26.22% increase in flexural strength and a 33.15% improvement in hardness. This optimized composite formulation holds promise for use in biomedical applications requiring high mechanical strength and durability, such as in prosthetic materials and orthopedic implants, where enhanced flexural strength and hardness are critical for longevity and performance.https://doi.org/10.1002/eng2.13059analysis of variance (ANOVA)artificial neural network (ANN)polymer compositeresponse surface methodology (RSM)silane treatment |
| spellingShingle | R. Saravanan S. Jothi Arunachalam T. Sathish Jayant Giri Muhammad Imam Ammarullah Influence of Silane‐Treated Jute/Kenaf Fibers on the Mechanical Properties of Polymer Composites for Biomedical Applications: Optimization Using RSM and ANN Approaches Engineering Reports analysis of variance (ANOVA) artificial neural network (ANN) polymer composite response surface methodology (RSM) silane treatment |
| title | Influence of Silane‐Treated Jute/Kenaf Fibers on the Mechanical Properties of Polymer Composites for Biomedical Applications: Optimization Using RSM and ANN Approaches |
| title_full | Influence of Silane‐Treated Jute/Kenaf Fibers on the Mechanical Properties of Polymer Composites for Biomedical Applications: Optimization Using RSM and ANN Approaches |
| title_fullStr | Influence of Silane‐Treated Jute/Kenaf Fibers on the Mechanical Properties of Polymer Composites for Biomedical Applications: Optimization Using RSM and ANN Approaches |
| title_full_unstemmed | Influence of Silane‐Treated Jute/Kenaf Fibers on the Mechanical Properties of Polymer Composites for Biomedical Applications: Optimization Using RSM and ANN Approaches |
| title_short | Influence of Silane‐Treated Jute/Kenaf Fibers on the Mechanical Properties of Polymer Composites for Biomedical Applications: Optimization Using RSM and ANN Approaches |
| title_sort | influence of silane treated jute kenaf fibers on the mechanical properties of polymer composites for biomedical applications optimization using rsm and ann approaches |
| topic | analysis of variance (ANOVA) artificial neural network (ANN) polymer composite response surface methodology (RSM) silane treatment |
| url | https://doi.org/10.1002/eng2.13059 |
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