Characterization and prediction of some engineering properties of polymer - Clay/Silica hybrid nanocomposites through ANN and regression models

Dumpala, Lingaraju; Ramji, K.; Rao, N.B.R. Mohan; lakshmi, U. Rajya

doi:10.1016/j.proeng.2011.04.004

Cited by 28 publications

(5 citation statements)

References 21 publications

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“…In another study, Lingaraju et al 17 showed that by incorporation of nanosilica in epoxy-fiberglass, the impact resistance, hardness and tensile strength increased and wear rate decreased. Also, Lingaraju et al 18 studied the addition of nanosilica to epoxy-fiberglass, and found that damping ratio, hardness and storage modulus increase and wear rate decrease. Dumpal et al 19 demonstrated that by adding nanosilica to epoxy-fiberglass, the damping ratio increases and damage decreases.…”

Section: Introductionmentioning

confidence: 99%

Experimental and optimization of mechanical properties of epoxy/nanosilica and hybrid epoxy/fiberglass/nanosilica composites

Feli

Jalilian

2016

Journal of Composite Materials

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In this paper, the effect of addition of nanosilica on mechanical properties of pure epoxy and epoxy/fiberglass composite has been investigated. The epoxy/nanosilica composites and epoxy/fiberglass/nanosilica hybrid composites have been fabricated, and the Young’s modulus, tensile strength, yield stress and elongation at break have been determined by simple extension tests. The results show that by addition of 1 wt% of nanosilica in both types of composites, Young’s modulus, yield stress and tensile strength decrease and elongation at break increases. By increasing the nanosilica content, the Young’s modulus, yield stress and tensile strength increase and elongation at break decreases. Also, imperialist competitive algorithm is employed to model the mechanical properties as fourth degree polynomial functions. The accuracy of polynomial is maximized and coefficients are obtained. The results show 25.66%, 56.87% and 45.84% improvement in Young’s modulus, yield stress and tensile strength of pure epoxy, respectively. Also, 12.9%, 24.83% and 12.85% improvement in Young’s modulus, yield stress and tensile strength of epoxy/fiberglass composites, has been observed, respectively.

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Section: Introductionmentioning

confidence: 99%

Experimental and optimization of mechanical properties of epoxy/nanosilica and hybrid epoxy/fiberglass/nanosilica composites

Feli

Jalilian

2016

Journal of Composite Materials

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“…The ANN is inspired by the nervous system, in which neurons represent processing elements for performing operations parallel to data processing [50]. Literature works [51,52] have shown that the ANN approach is used to predict the processing design of polymer composite, saving time, effort, and project cost. ANN models are widely used in medical/biological sciences and data systems, presenting the opportunity to model process-structure-behaviour for engineering applications [53].…”

Section: Artificial Neural Network (Ann) Methodologymentioning

confidence: 99%

Prediction of Bending Properties for 3D-Printed Carbon Fibre/Epoxy Composites with Several Processing Parameters Using ANN and Statistical Methods

Monticeli

Neves

Ornaghi³

et al. 2022

Polymers

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The effects of processing parameters on conventional molding techniques are well-known. However, the fabrication of a carbon fibre (CF)/epoxy composite via additive manufacturing (AM) is in the early development stages relative to fabrications based on resin infusion. Accordingly, we introduce predictions of the flexural strength, modulus, and strain for high-performance 3D printable CF/epoxy composites. The data prediction is analyzed using approaches based on an artificial neural network, analysis of variance, and a response surface methodology. The predicted results present high reliability and low error level, getting closer to experimental results. Different input data can be included in the system with the trained neural network, allowing for the prediction of different output parameters. The following factors that influence the AM composite processing were considered: vacuum pressure, printing speed, curing temperature, printing space, and thickness. We further demonstrate fast and streamlined fabrications of various composite materials with tailor-made properties, as the influence of each processing parameter on the desirable properties.

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“…28 The tribological properties of the polymer composites can be enhanced by the inclusion of hard filler particles in the matrix. 29 The mechanical and erosion property of polymer composite on filler inclusion had been well documented in the existing literature. From that, it was found that fillers can either improve or demise the wear resistance and mechanical property of polymer composites which depend upon the interaction of matrix and filler.…”

Section: Filler Particlesmentioning

confidence: 98%

Influence of filler on erosion behavior of polymer composites: A comprehensive review

Vigneshwaran

Uthayakumar

Arumugaprabu

et al. 2018

Journal of Reinforced Plastics and Composites

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In recent decade, polymer matrix composites were extensively used in various engineering applications owing to their advanced properties over conventional materials and enhanced performance. This motivated the researchers to generate an extensive study and research work on polymer composites. In recent studies, the erosion properties of the polymer composite attract increasing attention among researchers. The potential enhancement in the erosion resistance property of filled composites tempted the researchers to find the feasibility of using various filler materials in polymer matrix for specific erosion resistance applications. However, only limited numbers of literature are available concerning the tribological performance of the filled composite. Hence in this study, an objective was set to review the various literature that explain the erosion characteristics of filled composites.

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Characterization and prediction of some engineering properties of polymer - Clay/Silica hybrid nanocomposites through ANN and regression models

Cited by 28 publications

References 21 publications

Experimental and optimization of mechanical properties of epoxy/nanosilica and hybrid epoxy/fiberglass/nanosilica composites

Experimental and optimization of mechanical properties of epoxy/nanosilica and hybrid epoxy/fiberglass/nanosilica composites

Prediction of Bending Properties for 3D-Printed Carbon Fibre/Epoxy Composites with Several Processing Parameters Using ANN and Statistical Methods

Influence of filler on erosion behavior of polymer composites: A comprehensive review

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