2021
DOI: 10.30880/ijie.2021.13.06.010
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Statistical Optimization Using Response Surface Methodology for Enhanced Tensile Strength of Polyethylene/Graphene Nanocomposites

Abstract: Despite having remarkable features such as low density, ease of fabrication and recyclability, linear low-density polyethylene (LLDPE) has several drawbacks like poor stiffness and low creep resistance which fortunately can be improved by incorporating with other suitable nanofillers. In this study, graphene nanoplatelets (GNPs) that are well-known for its high surface area and superior stability were selected to reinforce the polymer network of LLDPE via melt blending. During mixing processing, the rotor spee… Show more

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Cited by 2 publications
(1 citation statement)
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“…The central composite design uses 5 levels for each factor while the Box-Behnken design uses 3 levels for each factor. 184,186,187,191 Despite the number of runs by the Box-Behnken design being fewer compared to the central composite design, the central composite design shows robustness in the accuracy of the model. The presence of an axial point in the central composite design allows the extreme combination of design space while the Box-Behnken design provides the design in a safe operating zone only due to the absence of an axial point.…”
Section: Response Surface Methodology (Rsm)mentioning
confidence: 99%
“…The central composite design uses 5 levels for each factor while the Box-Behnken design uses 3 levels for each factor. 184,186,187,191 Despite the number of runs by the Box-Behnken design being fewer compared to the central composite design, the central composite design shows robustness in the accuracy of the model. The presence of an axial point in the central composite design allows the extreme combination of design space while the Box-Behnken design provides the design in a safe operating zone only due to the absence of an axial point.…”
Section: Response Surface Methodology (Rsm)mentioning
confidence: 99%