| 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
Influence of laser texturing pre-treatment on HVOF-sprayed WC-10Co-4Cr+GNP coatings on AISI 304
Abstract
<jats:title>Abstract</jats:title><jats:p>High-Velocity Oxygen Fuel (HVOF) is one of the most important thermal spraying techniques for protective coating on pristine alloy surfaces by cermet feedstock powders. In the article, grit blasting before HVOF coating is replaced by laser texturing to create specific roughness and deterministic cavities pattern for better mechanical interlocking of deposited WC-10Co-4Cr + 3% Graphene Nanoplatelets (GNPs) on AISI 304 Steel Substrate. Two geometries; first one is Circular texturing (CT) of diameter (d) 100 <jats:italic>μ</jats:italic>m and pitch (p) 120 <jats:italic>μ</jats:italic>m, second is triangular texturing (TT) of side (s) 100 <jats:italic>μ</jats:italic>m and side to side (ss) distance 120 <jats:italic>μ</jats:italic>m have been used. Various testing measures; like surface roughness, XRD analysis, FESEM image analysis, EDS analysis, lattice strain and residual stress, scratch test, Vickers hardness test on coating and base substrate cross-section, and pin-on-disc test for sliding wear behaviour have been performed. After these coating characterizations, it was found that the lattice strain and residual stress decreases significantly, the micro-hardness of the cross-section improved, the adhesion strength of the coating was enhanced and a low sliding wear rate on the coated surface was observed. Uniform distribution of feedstock powder on the surface but higher porosity on the TT surface showed by FESEM image analysis and a large number of cracks observed during scratch tests at higher load.</jats:p>