Flexural properties of areca nut, sunn hemp and e-glass fibers reinforced with epoxy composites

Thamba, Narendiranath Babu; Kuclourya, Tanay; Jain, Mohit; Mangalaraja, Ramalinga Viswanathan

doi:10.1088/2053-1591/ab3db5

Cited by 8 publications

(2 citation statements)

References 24 publications

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“…The moulds in which the specimens would be allowed to cure in are crafted as per ASTM standards - D638 and D790 for the tensile and bending tests respectively, 27,28 which have been illustrated in Figure 1. The choice of wood for the moulds is made to suit the requirements; a material which can be broken with ease and which would not affect the dimensional aspects of the specimen while breaking.…”

Section: Methodsmentioning

confidence: 99%

Mechanical behaviour and microscopic analysis of epoxy and E-glass reinforced banyan fibre composites with the application of artificial neural network and deep neural network for the automatic prediction of orientation

Shyam

Kaul

Kalsara

et al. 2020

Journal of Composite Materials

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This paper deals with the testing of tensile and flexural behaviour of epoxy-reinforced natural fibre composites, for which Banyan fibres have been selected as the natural fibre. Variations are made in the orientation of the fibres to determine which orientation made the composite the strongest. The fibre strands are arranged in different orientations, such as the uniaxial, biaxial and criss-cross arrangements, to differentiate between the orientations and observe which arrangement exhibited the best mechanical behaviour. The fibres are initially washed with 0.5% weight/volume (w/v) NaOH solution, following which specimens of the composites are made using wooden moulds designed according to ASTM standards. Biaxial layers of E-glass are incorporated into the matrix in an attempt to enhance the mechanical properties of the specimen. The variances observed in the Young’s modulus are analysed to understand the factors that majorly impacted it. For a better understanding of the results, the chemical functional groups and the microstructure of the samples are analysed with the aid of Fourier-Transform Infrared Spectroscopy (FTIR), Field Emission Scanning Electron Microscopy (FESEM) and X-Ray powder Diffraction (XRD). Additionally, predictive models are simulated using Artificial and Deep Neural Networks to recognise patterns in the data, by varying specific parameters. The results obtained indicated that Banyan fibre composites can replace conventionally-used materials and serve real-world purposes better.

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Section: Methodsmentioning

confidence: 99%

Mechanical behaviour and microscopic analysis of epoxy and E-glass reinforced banyan fibre composites with the application of artificial neural network and deep neural network for the automatic prediction of orientation

Shyam

Kaul

Kalsara

et al. 2020

Journal of Composite Materials

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“…This process is called mercerisation and is preferred because of its ability to make the surface of the fibre rough enough to improve surface bonding. 17 Studies have backed these claims, with the removal of surface impurities 18–24 and the reduction in fibre surface roughness 25,26 facilitating improved fibre–matrix bonding during the preparation of the composite. Impurities could either be foreign particles (dust, dirt and wax) or protective chemicals and substances present naturally on the surface of the fibre (fat, lignin, pectin and hemicellulose).…”

Section: Characterisationmentioning

confidence: 99%

Natural fibre composites – an alternative to plastics in the automotive industry: A review

Thamba

Shyam

Kaul

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part L:

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Natural fibre composites are ideal material substitutes for combating the issues of pollution and non-biodegradability. Several industries, the automobile industry, in particular, have shown tremendous inclination towards the usage of natural fibre composites in their deliverables. Besides providing a wide array of useful properties, natural fibre composites have offered flexibility in terms of choosing various combinations of fibres and resins. Owing to this, this paper aims to collect data and categorize the natural fibre composites based on the types of treatments and properties they exhibit. Characterization was done by taking into consideration chemical and enzymatic treatments as well as tests such as the tensile, flexural, compressive, impact, shear and hardness. Based on the values obtained from the characterization, the paper suggests suitable and feasible natural fibre composites as biocompatible replacements to conventionally used materials in the automotive industry.

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The extraction of lignocellulosic fibre from a green manuring crop (Sesbania aculeata) for sustainable biocomposite products

Pavan,

Mahajan,

Saini

et al. 2024

Biomass Conv. Bioref.

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Flexural properties of areca nut, sunn hemp and e-glass fibers reinforced with epoxy composites

Cited by 8 publications

References 24 publications

Mechanical behaviour and microscopic analysis of epoxy and E-glass reinforced banyan fibre composites with the application of artificial neural network and deep neural network for the automatic prediction of orientation

Mechanical behaviour and microscopic analysis of epoxy and E-glass reinforced banyan fibre composites with the application of artificial neural network and deep neural network for the automatic prediction of orientation

Natural fibre composites – an alternative to plastics in the automotive industry: A review

The extraction of lignocellulosic fibre from a green manuring crop (Sesbania aculeata) for sustainable biocomposite products

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