| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Kumar, Rakesh
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (22/22 displayed)
- 2024Modelling the mechanical properties of concrete produced with polycarbonate waste ash by machine learningcitations
- 2024Modulation of the optical and transport properties of epitaxial SrNbO3 thin films by defect engineering
- 2024Nonlinear finite element and machine learning modeling of tubed reinforced concrete columns under eccentric axial compression loadingcitations
- 2023Establishment of magneto-dielectric effect and magneto-resistance in composite of PLT and Ba-based <i>U</i>-type hexaferritecitations
- 2023Nonlinear finite element and analytical modelling of reinforced concrete filled steel tube columns under axial compression loadingcitations
- 2022Coupled diffusion-mechanics framework for simulating hydrogen assisted deformation and failure behavior of metalscitations
- 2022Effect of reinforcement and sintering on dry sliding wear and hardness of titanium – (AlSi)0.5CoFeNi based compositecitations
- 2022Influence of laser texturing pre-treatment on HVOF-sprayed WC-10Co-4Cr+GNP coatings on AISI 304citations
- 2021Gaussian Distribution-Based Machine Learning Scheme for Anomaly Detection in Healthcare Sensor Cloudcitations
- 2020Tight Oil from Shale Rock in UAE: A Success Story of Unconventional Fracturingcitations
- 2019Some Preliminary Experimental Investigations on Inconel-718 Alloy with Rotary Tool-Electrode Assisted EDMcitations
- 2019Analysis of Dimensional Accuracy (Over Cut) and Surface Quality (Roughness) in Electrical Discharge Machining of Inconel-718 Alloycitations
- 2019Fabrication of an amyloid fibril-palladium nanocomposite: a sustainable catalyst for C–H activation and the electrooxidation of ethanolcitations
- 2013Dielectric, mechanical, and thermal properties of bamboo–polylactic acid bionanocompositescitations
- 2013Hallmarks of mechanochemistry: from nanoparticles to technologycitations
- 2010Bamboo fiber reinforced thermosetting resin composites: Effect of graft copolymerization of fiber with methacrylamidecitations
- 2010Influence of chemical treatments on the mechanical and water absorption properties of bamboo fiber compositescitations
- 2009Studies on water absorption of bamboo‐epoxy composites: Effect of silane treatment of mercerized bamboocitations
- 2009The Studies on Performance of Epoxy and Polyester-based Composites Reinforced with Bamboo and Glass Fiberscitations
- 2009Effect of Silanes on Mechanical Properties of Bamboo Fiber-epoxy Compositescitations
- 2009Graphene made easy: High quality, large-area samples
- 2008Enhanced Mechanical Strength of BFRP Composite Using Modified Bambooscitations
Places of action
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article
Bamboo fiber reinforced thermosetting resin composites: Effect of graft copolymerization of fiber with methacrylamide
Abstract
poxy and polyester resins have been reinforced with methacrylamide (MAA) treated bamboo strip matting to develop bamboo fiber reinforced plastic composites. Bamboo mats were graft copolymerized with 1, 3, and 5% solution of MAA. The mechanical (tensile strength, elastic modulus, flexural strength, and flexural modulus), thermal, and water absorption properties of the composites were determined. One percent treatment of bamboo with MAA gave optimum results with epoxy resin. The mechanical properties were improved. TGA results reveal that the degradation temperature of the composite has improved after grafting. The weight loss of 1% MAA treated bamboo–epoxy composite reached a value of 95.132% at 795°C compared to 97.655% at 685°C of untreated bamboo–epoxy composite. Water absorption in the composites was studied by long term immersion and 2 h boiling in distilled water. The process of water absorption indicates Fickian mode of diffusion. MAA treatment results in reduced water uptake. There was improvement in the properties of pretreated bamboo‐polyester matrix composite as well. Three percent treatment of bamboo with MAA gave optimum results with polyester resin. © 2010 Wiley Periodicals, Inc. J Appl Polym Sci, 2010