2021
DOI: 10.1007/s10443-021-09879-x
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Optimization on Tensile Properties of Kenaf/Multi-walled CNT Hybrid Composites with Box-Behnken Design

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Cited by 29 publications
(14 citation statements)
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“…Due to this, chemical and surface treatment techniques to enhance fiber–matrix interfacial adhesion have increased the fabrication cost of these structures. The adoption of optimization techniques such as the Taguchi and response surface method [ 119 , 120 , 121 ] has great potential and could reduce the cost of experimental setups and the final product itself. In addition, there is also great potential to develop the finite element method software package to compare the mechanical properties of RH composites from experimental works.…”
Section: A Way Forward: Rh Compositesmentioning
confidence: 99%
“…Due to this, chemical and surface treatment techniques to enhance fiber–matrix interfacial adhesion have increased the fabrication cost of these structures. The adoption of optimization techniques such as the Taguchi and response surface method [ 119 , 120 , 121 ] has great potential and could reduce the cost of experimental setups and the final product itself. In addition, there is also great potential to develop the finite element method software package to compare the mechanical properties of RH composites from experimental works.…”
Section: A Way Forward: Rh Compositesmentioning
confidence: 99%
“…In nearly all cases, combining a matrix and reinforcing fiber results in composites with higher mechanical properties compared to the single components [ 2 , 3 ]. Optimization of the fabrication parameters are often used to achieve an optimum level of overall composite quality [ 4 , 5 , 6 ]. However, under certain circumstances, the properties of single FRP composites might fail to meet the desired level of characteristics.…”
Section: Introductionmentioning
confidence: 99%
“…R 2 and adjusted R 2 values were in good agreement, with an approximately 95% confidence level, implying that the experimental and predicted efficiencies were not much different [46,48]. Additionally, the predicted R 2 values of 0.8293, 0.8237, 0.8999, and 0.9202 for PLA/clay composites loaded with NaOH-modified K85 rice husks, Mg(OH) 2modified K85 rice husks, NaOH-modified K98 rice husks, and Mg(OH) 2 -modified K98 rice husks, respectively, were in reasonable agreement with adjusted R 2 values (respective differences were less than 0.2) [31,46]. Furthermore, the coefficient of variation (C.V.), which must be lower than 10%, shows precision of the actual and predicted model [25,39].…”
Section: Analysis Of Variance For Model Statistical Significancementioning
confidence: 68%
“…Coefficient of regression values (R 2 ) of 0.9635, 0.9624, 0.9789, and 0.9731 obtained for PLA/clay composites loaded with NaOH-modified K85 rice husks, Mg(OH) 2 -modified K85 rice husks, NaOH-modified K98 rice husks, and Mg(OH) 2 -modified K98 rice husks, respectively, suggested that the models competently represented the relationship between significant model terms. In fact, this result signalled higher reliability of empirical model data since all the R 2 values were very close to 1 [46,47]. Such high R 2 values describe the models' fit and the accuracy of the estimated constants [46].…”
Section: Analysis Of Variance For Model Statistical Significancementioning
confidence: 80%
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