Modeling and parameters optimization of biocomposite using box-Behnken response surface methodology
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Date
2023-12
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Abstract
The primary objective of this work includes modeling and optimization of the mechanical
properties of natural fiber biocomposites using three-factor, three-level Box-Behnken design (BBD). In
this context, the effect of three independent performance parameters; pineapple leaf fiber (PALF)
content, fiber length, and polyethylene-grafted-maleic anhydride (MAPE) compatibilizer load have
been investigated on the mechanical properties of PALF/HDPE/MAPE biocomposite. The sequential
model sum of squares, lack of fit, and normal probability plots showed a good agreement in between
the experimental results and those predicted by mathematical models (95% confidence level). The
optimization results obtained in Design-Expert software revealed that the most optimal value of tensile
strength, tensile modulus, flexural strength, flexural modulus, and impact strength as 32.35 MPa, 1475
MPa, 49.21 MPa, 1659.04 MPa, and 58.24 J/m respectively, at fiber length of 13.67 mm, PALF content of
16.84 wt.%, and MAPE load of 2.95 wt.%. To verify the mathematical models, validation tests were also
performed which showed that the response surface methodology (RSM) based BBD and ANOVA tools
are adequate for analytically evaluating the performance of biocomposites.