Optimization and Enhancement of Tensile Strength and Elongation at Failure in Basalt/Glass Fiber Polymer Composites With MWCNTs + SiO2 Hybrid Nanofillers Using Response Surface Methodology

IF 2 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Engineering reports : open access Pub Date : 2025-02-11 DOI:10.1002/eng2.70025
T. Sathish, V. Boobalan, Jayant Giri, Ahmad O. Hourani, A. Johnson Santhosh, Faouzi Nasri
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Abstract

This study focuses on optimizing the tensile performance of basalt/glass fiber-reinforced polymer composites enhanced with hybrid nanofillers, comprising equal proportions of multi-walled carbon nanotubes (MWCNTs) and silicon dioxide (SiO2). The nanofiller content is evaluated at weight percentages of 0%, 1%, and 2%. Using response surface methodology (RSM), the research investigates the interactive effects of three key parameters: filler weight (0%–2%), molding pressure (5–15 MPa), and sonication time (10–30 min) on the mechanical performance of the composites. A Box–Benkhen design was adopted to develop predictive models and establish optimal processing conditions for maximizing the mechanical properties. The tensile test (as per ASTM D 638 standard) and scanning electron microscopy (SEM) were performed. It was found that filler weight plays a dominating role in the tensile performance of hybrid nanocomposites, followed by molding pressure and sonication time. A predictive mathematical model was developed for each response. The maximum tensile strength of 267 MPa and an elongation at failure of 2.25% were achieved at a filler weight of 1%, molding pressure of 15 MPa, and sonication time of 30 min, corresponding to run order 16. The hybrid nanofillers synergistically enhance the load transfer efficiency and interfacial bonding, as observed through microstructural analysis using SEM. Statistical analysis validated the accuracy and reliability of the developed models, demonstrating robust correlation coefficients between actual and predicted values. The results highlight the potential of RSM as a strong tool for optimizing hybrid nanocomposite properties, paving the way for advanced material design in structural applications.

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基于响应面法优化MWCNTs + SiO2杂化纳米填料玄武岩/玻璃纤维聚合物复合材料的抗拉强度和断裂伸长率
本研究的重点是优化由多壁碳纳米管(MWCNTs)和二氧化硅(SiO2)等比例组成的杂化纳米填料增强的玄武岩/玻璃纤维增强聚合物复合材料的拉伸性能。在0%、1%和2%的重量百分比下评估纳米填料的含量。利用响应面法(RSM),研究了三个关键参数:填料重量(0%-2%)、成型压力(5-15 MPa)和超声时间(10-30 min)对复合材料力学性能的交互影响。采用Box-Benkhen设计建立预测模型,并建立优化的加工条件,以获得最大的力学性能。拉伸试验(按照ASTM D 638标准)和扫描电子显微镜(SEM)进行。结果表明,填料重量是影响复合材料拉伸性能的主要因素,其次是成型压力和超声时间。为每个反应建立了预测数学模型。在填充料质量为1%,成型压力为15 MPa,超声时间为30 min,运行顺序为16时,最大抗拉强度为267 MPa,失效伸长率为2.25%。通过SEM的微观结构分析发现,杂化纳米填料协同作用增强了负载传递效率和界面结合。统计分析验证了所建立模型的准确性和可靠性,表明实际值和预测值之间存在稳健的相关系数。研究结果突出了RSM作为优化杂化纳米复合材料性能的强大工具的潜力,为结构应用中的先进材料设计铺平了道路。
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5.10
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审稿时长
19 weeks
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