Effect of starch sizes particle as binder on short pineapple leaf fiber composite mechanical properties

Selamat, Mohd Zulkefli; Tahir, Muhammad Syazwan Zhafri; Kasim, Ayu Natasya; DharMalingam, S.; Putra, Azma; Yaakob, Mohd Yuhazri; Daud, Mohd Ahadlin Mohd

doi:10.1051/matecconf/201815004008

Cited by 7 publications

(3 citation statements)

References 12 publications

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“…In addition, micromechanical model is used to classify heterogeneous materials like composite [23,24]. Generally, many parameters influence the micromechanical properties of the composite such as fibre and matrix properties, fibre and matrix loading, size of the composite, fibre and matrix sources, interfacial adhesion between the fibre and matrix and orientation of the composite [25][26][27][28][29][30][31]. The most frequently used micromechanical models are rule of mixtures (ROM), rule of hybrid mixtures (ROHM), Halpin-Tsai equation and Tsai-Pagano equation.…”

Section: Introductionmentioning

confidence: 99%

Material Selection of a Natural Fibre Reinforced Polymer Composites using an Analytical Approach

Muhammad¹,

Sapuan²,

Mastura³

et al. 2019

Journal of Renewable Materials

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Material selection has become a critical part of design for engineers, due to availability of diverse choice of materials that have similar properties and meet the product design specification. Implementation of statistical analysis alone makes it difficult to identify the ideal composition of the final composite. An integrated approach between statistical model and micromechanical model is desired. In this paper, resultant natural fibre and polymer matrix from previous study is used to estimate the mechanical properties such as density, Young's modulus and tensile strength. Four levels of fibre loading are used to compare the optimum natural fibre reinforced polymer composite (NFRPC). The result from this analytical approach revealed that kenaf/polystyrene (PS) with 40% fibre loading is the ideal composite in automotive component application. It was found that the ideal composite score is 1.156 g/cm 3 , 24.2 GPa and 413.4 MPa for density, Young's modulus and tensile strength, respectively. A suggestion to increase the properties on Young's modulus are also presented. This work proves that the statistical model is well incorporated with the analytical approach to choose the correct composite to use in automotive application.

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Section: Introductionmentioning

confidence: 99%

Material Selection of a Natural Fibre Reinforced Polymer Composites using an Analytical Approach

Muhammad¹,

Sapuan²,

Mastura³

et al. 2019

Journal of Renewable Materials

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show abstract

“…Nevertheless, past research has shown that the utilization of a fine fiber geometrical structure is only advantageous to the composite if adequate binder is applied. 112 According to Das et al 113 when forming a bond between fibers, the binder plays a crucial function in generating a vast connection of fiber network, which contributes to the transmission of load between fiber particles in the composite. Consistent with a previous study, their findings indicated that fibers with a fine geometrical structure that lacked a binder suffered a significant disadvantage due to their inability to undergo particle bonding, resulting in a reduction of load distribution properties throughout the composite panel.…”

Section: The Influence Of Fiber Physico-chemical Propertiesmentioning

confidence: 99%

Review on the influencing factors towards improving properties of composite insulation panel made of natural waste fibers for building application

Shakir

Ahmad

Ramli

et al. 2023

Journal of Industrial Textiles

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The low performance of insulation panels has received great attention from many researchers and engineers to improve their properties as it has become a limiting factor that minimize their usage specifically as insulation building material. Recently, there has been an increase in interest in the development of composite insulation panels made from natural waste fiber. Due to the abundance of natural waste fiber generated by the agricultural industry, it has made them suitable to be utilized as raw material for composite insulation panels. Having improper waste disposal management might result in these massive quantities of valuable natural waste fiber having a detrimental effect on our ecosystem and contributing to various environmental pollution. A composite insulation panel made from natural waste fibers has unique and versatile features in terms of thermal, physical, and mechanical properties. Seeing such potential, this paper presents a review on the influencing factors towards improving comprehensive properties of composite insulation panels. Factors that influence the properties of the panel, such as the physico-chemical properties of fiber, fiber geometrical structure, and fiber treatment were discussed. Previous and recent research efforts related to factors influencing the properties of composite insulation panels were also compiled. Last but not least, the suitable criteria, limiting factors, and condition of the fiber used in composite insulation panels were also all highlighted.

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“…It indicates the uncertainty in the measured ap proximation values. In a recent study, the error bar was an informative tool to show the goodness of fit or dispersion of the data set [55,56]. In detail, statistical testing such as hypothesis testing, confidence interval and ttest should be performed to draw the final conclusion.…”

Section: Materials Selection Based On Performance Of Mechanical Propermentioning

confidence: 99%

Statistical inferences in material selection of a polymer matrix for natural fiber composites

et al. 2020

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In this paper, statistical inferences in material selection of polymer matrix for natural fiber composite are presented. Hypothesis testing and confidence interval were used to evaluate the suita bility of the sample for use as a matrix in natural fiber reinforced composites. The screening process for material selection was carried out using a stepwise regression method. Then, the ranking process in ma terial selection was conducted using an estimation of performance score (PS) for mechanical pro perties such as impact strength (IS), elongation at break (E) and tensile strength (TS). Ten types of polymer were involved in the study. The final selection revealed that polyamide (PA6), polyurethanes (PUR) and polypropylene (PP) are the potential candidates to manufacture handbrake levers according to IS, E and TS, respectively. Here, it was found that the score for Tp (thermoplastic) is better than Ts (thermoset) in terms of IS. In contrast, the Ts offered a better score result than, Tp, with respect to E and TS. The results of statistical measurements using statistical modelling prove that the data analysis can be used as a part of the decision making in material selection.

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Effect of starch sizes particle as binder on short pineapple leaf fiber composite mechanical properties

Cited by 7 publications

References 12 publications

Material Selection of a Natural Fibre Reinforced Polymer Composites using an Analytical Approach

Material Selection of a Natural Fibre Reinforced Polymer Composites using an Analytical Approach

Review on the influencing factors towards improving properties of composite insulation panel made of natural waste fibers for building application

Statistical inferences in material selection of a polymer matrix for natural fiber composites

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