Optimization of numerical simulation parameters for kenaf fiber reinforced polypropylene composite by using Box-Behnken method

Tholibon, Dulina; Jamil, Nurul Hayati; Tholibon, Duratul Ain

doi:10.1063/5.0047550

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…High values usually mean that the design lacks orthogonality and the model terms exhibit collinearity, a situation which is not desirable. According to [71][72][73][74][75][76], the ideal case for a design is that the Ri² values of all the model terms should be equal to zero in which case we have a purely orthogonal design. High Ri 2 values are not desirable because it is usually an indication that the model terms are correlated with each other and this could result in a bad model.…”

Section: Resultsmentioning

confidence: 99%

Prediction of the Tensile Strength of an Experimental Design Reinforce Polyvinyl Chloride Composite using Response Surface Methodology

2023

jjmie

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In this study, a five factor Box-Behnken Design (BBD) was applied to plan and perform experiments for the production of composite polyvinyl chloride (PVC) material. The Box-Behnken Design combined with Response Surface Methodology (RSM) was utilized to optimise the production variables, physical and tensile strength of composite PVC. Design Expert ® software version 7.0.0, (Stat-ease, Inc. Minneapolis, USA) was used for the experimental design. The Design Expert ® software utilizes the concept of randomization to generate the experimental design. This was achieved by scheduling the experiments in a random manner in order to minimise the effects of unexplained variability in the response. The design involved five different variables; three of which are the composite constituents (PVC, raffia palm and plantain peduncle) and the remaining two are the production variables (temperature and pressure). An assessment of the results showed that the quadratic model was suitable for modelling the responses considered in this study. The R 2 value was close to one while the standard deviation was equally small. The result of the experimental and RSM predicted results for tensile strength showed that for all responses considered, there was close similarity between the experimental results and those predicted by the quadratic model. The results of the parity plots obtained shown that there was a good fit between the model predictions and the experimental results, thus, validated. Besides, increasing the proportion of PVC resulted in a steep and significant increase in the tensile strength of the composite. Thus, the tensile strength was improved as a result of the synergistic effect of the PVC and the fiber. However, increasing the level of rattan and plantain peduncle did not result in an increase in the tensile strength of the composite and this was as a result of the low lignin content of these fiber materials. Similarly, increasing the temperature and pressure resulted in a decrease in the tensile strength of the composite pipes.

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Section: Resultsmentioning

confidence: 99%

Prediction of the Tensile Strength of an Experimental Design Reinforce Polyvinyl Chloride Composite using Response Surface Methodology

2023

jjmie

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“…Also, knowing the behavior of reinforced plastic composites via a predictive model is vital because such knowledge can help improve the mechanical properties of the composites by using the appropriate mix ratios [35,36]. Response surface methodology (RSM), introduced by Box and Wilson [32,37], has been used in previous research work to optimize the conditions for the manufacturing of composites [38][39][40]. Also, the Box-Behnken design and the central composite design are the two most dominant designs utilized in RSM [37,41].…”

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confidence: 99%

Numerical Optimization of the Input Factors and Responses of an Experimental Design Reinforce PVC Composite

Orhorhoro,

Emifoniye,

Okuma

2023

JAMEA

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In this study, the input factors (PVC, rattan, plantain peduncle, and temperature) and the responses (flexural strength and modulus of elasticity) of an experimental design to reinforce PVC composite were investigated. The assessment of suitability and ultimately the choice of the models were done based on the values of statistical parameters like coefficient of determination (R2 value), p value, F value, etc. The experimental data was carried out by fitting a second-order model in the Design Expert model library to the data to estimate the unknown model parameters. This process was accomplished by applying multiple regression analyses to the data. The optimum values of the responses were obtained by numerical optimization based on the criterion of desirability. The results obtained showed that the design was adequate, and the models developed from it were useful because the off-diagonal values were close to zero. Also, increasing the proportion of PVC resulted in a steep and significant increase in the flexural strength of the composite. More so, this trend was similar to the flexural strength for the response surface and the corresponding contour plots representing the relationship between PVC, rattan, and modulus of elasticity. Besides, at higher temperatures, the PVC material could act as a binder, which results in a strong interaction between the components of the composite material.

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Investigation on Elastic Constants of Microfibril Reinforced Poly Vinyl Chloride Composites Using Impulsive Excitation of Vibration

Aravindh

Venkatachalam

2022

Polymers

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The creation of tenable green composites is in high demand, due to ecologically available resources paving the way for applications to thrive in the manufacturing, aerospace, structural, and maritime industries. Hence, it is vital to understand the performance characteristics of natural fiber-reinforced polymer composites. The elastic constants of coir fiber powder-reinforced plasticized polyvinyl chloride composite are determined using impulsive excitation vibration in this study. The optimization study on the elastic constants was carried out using Box–Behnken experimental design, based on response surface methodology, having three factors of fiber content (wt.%), fiber size (μm) and chemical treatments. The results were evaluated using analysis of variance and regression analysis. Additionally, experimental and optimized results were compared, leading to error analysis. Young’s modulus of 18.2 MPa and shear modulus of 6.6 MPa were obtained for a combination of fiber content (2 wt%), fiber size (225 μm), and triethoxy (ethyl) silane treatment, which is suitable for various electrical, automotive, etc., applications.

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Optimization of numerical simulation parameters for kenaf fiber reinforced polypropylene composite by using Box-Behnken method

Cited by 3 publications

References 6 publications

Prediction of the Tensile Strength of an Experimental Design Reinforce Polyvinyl Chloride Composite using Response Surface Methodology

Prediction of the Tensile Strength of an Experimental Design Reinforce Polyvinyl Chloride Composite using Response Surface Methodology

Numerical Optimization of the Input Factors and Responses of an Experimental Design Reinforce PVC Composite

Investigation on Elastic Constants of Microfibril Reinforced Poly Vinyl Chloride Composites Using Impulsive Excitation of Vibration

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