Author
P. Noorunnisa Khanam
Other affiliations: Universiti Sains Malaysia, Center for Advanced Materials, Sri Krishnadevaraya University
Bio: P. Noorunnisa Khanam is an academic researcher from Qatar University. The author has contributed to research in topics: Ultimate tensile strength & Low-density polyethylene. The author has an hindex of 20, co-authored 27 publications receiving 1543 citations. Previous affiliations of P. Noorunnisa Khanam include Universiti Sains Malaysia & Center for Advanced Materials.
Papers
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TL;DR: Chitosan/PVA/ZnO electrospun scaffolds could be effectively helpful in dressings for diabetic wounds due to the wound healing activities of chitOSan-PVA nanofibers and antibacterial properties of ZnO.
291 citations
TL;DR: In this article, the chemical resistance, void content and tensile properties of EFB/Jute composites were investigated with reference to the relative weight of oil palm EFB and jute, and different layering pattern were investigated.
226 citations
TL;DR: In this paper, a hybrid composites of date palm wood flour/glass fibre were prepared by different weight ratios of the two reinforcements and the results showed that glass fiber reinforced composites showed higher hardness than other composites.
147 citations
30 Apr 2015
TL;DR: In this article, a comprehensive source of PE-based polymer composites research, including structure and classification of PE manufacturing/processing techniques for PE composites, and also described different characterization methods for PE composite.
Abstract: Thermoplastic matrix polymer composites have gained commercial success in the semistructural and structural applications. Polyethylene (PE) is one of the most versatile and widely used thermoplastics in the world because of its excellent properties like toughness, near-zero moisture absorption, excellent chemical inertness, low coefficient of friction, ease of processing and unusual electrical properties. This review is designed for comprehensive source of PE-based polymer composites research, including structure and classification of PE manufacturing/processing techniques for PE composites, and it also described different characterization methods for PE composites. Differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA) characterization methods were used to describe the thermal properties of PE composites. Morphological studies were explained by using scanning electron microscope (SEM), transmission electron microscope (TEM) and atomic force microscope (AFM) techniques. Rheol...
127 citations
TL;DR: In this paper, the effect of NaOH treatment of sisal fibres on the tensile, flexural and chemical resistance properties of these sisal/carbon hybrid composites has also been studied.
Abstract: The variation of mechanical properties such as tensile and flexural properties of randomly oriented unsaturated polyester based sisal/carbon fibre reinforced hybrid composites with different fibre weight ratios have been studied. The chemical resistance test of these hybrid composites to various solvents, acids and alkalies were studied. The effect of NaOH treatment of sisal fibres on the tensile, flexural and chemical resistance properties of these sisal/carbon hybrid composites has also been studied. The hybrid composites showed an increase in tensile and flexural properties with increase in the carbon fibre loading. The tensile properties and flexural properties of these hybrid composites have been found to be higher than that of the matrix. Significant improvement in tensile properties and flexural properties of the sisal/carbon hybrid composites has been observed by alkali treatment. The chemical resistance test results showed that these untreated and alkali treated hybrid composites are resistance to all chemicals except carbon tetra chloride. Hand lay-up technique was used for making the composites and tests are carried out by using ASTM methods.
127 citations
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09 Mar 2012
TL;DR: Artificial neural networks (ANNs) constitute a class of flexible nonlinear models designed to mimic biological neural systems as mentioned in this paper, and they have been widely used in computer vision applications.
Abstract: Artificial neural networks (ANNs) constitute a class of flexible nonlinear models designed to mimic biological neural systems. In this entry, we introduce ANN using familiar econometric terminology and provide an overview of ANN modeling approach and its implementation methods. † Correspondence: Chung-Ming Kuan, Institute of Economics, Academia Sinica, 128 Academia Road, Sec. 2, Taipei 115, Taiwan; ckuan@econ.sinica.edu.tw. †† I would like to express my sincere gratitude to the editor, Professor Steven Durlauf, for his patience and constructive comments on early drafts of this entry. I also thank Shih-Hsun Hsu and Yu-Lieh Huang for very helpful suggestions. The remaining errors are all mine.
2,069 citations
TL;DR: In this paper, the current status of the intrinsic mechanical properties of the graphene-family of materials along with the preparation and properties of bulk graphene-based nanocomposites is thoroughly examined.
1,531 citations
TL;DR: In this paper, a review of the recent development of cellulosic and synthetic fibres based reinforced hybrid composites is presented, focusing the attention in terms of processing, mechanical, physical, electrical, thermal and dynamic mechanical properties.
1,069 citations
TL;DR: Various fabrication techniques employed for the production of natural fiber reinforced polymer composites are discussed and a detailed review of the research devoted to the analysis of their structure and properties by a variety of characterization techniques are presented.
957 citations
TL;DR: In this paper, a review aims to explain basic mechanisms of these hybrid effects and describes the state-of-the-art models to predict them, and an overview of the tensile, flexural, impact and fatigue properties of hybrid composites is presented to aid in optimal design of hybrid composite materials.
Abstract: Fibre-reinforced composites are rapidly gaining market share in structural applications, but further growth is limited by their lack of toughness. Fibre hybridisation is a promising strategy to toughen composite materials. By combining two or more fibre types, these hybrid composites offer a better balance in mechanical properties than non-hybrid composites. Predicting their mechanical properties is challenging due to the synergistic effects between both fibres. This review aims to explain basic mechanisms of these hybrid effects and describes the state-of-the-art models to predict them. An overview of the tensile, flexural, impact and fatigue properties of hybrid composites is presented to aid in optimal design of hybrid composites. Finally, some current trends in fibre hybridisation, such as pseudo-ductility, are described.
598 citations