| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Jabbari, Masoud
University of Leeds
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (35/35 displayed)
- 2024Infusion Simulation of Graphene-Enhanced Resin in LCM for Thermal and Chemo-Rheological Analysiscitations
- 2024A Numerical Framework of Simulating Flow-Induced Deformation during Liquid Composite Mouldingcitations
- 2023A Numerical Thermo-Chemo-Flow Analysis of Thermoset Resin Impregnation in LCM Processescitations
- 2022Numerical Investigation of Multi-scale Characteristics of Single and Multi-layered Woven Structurescitations
- 2022Numerical Simulation of Two-Phase Flow in Liquid Composite Moulding Using VOF-Based Implicit Time-Stepping Schemecitations
- 2021A Numerical Analysis of Resin Flow in Woven Fabrics: Effect of Local Tow Curvature on Dual-Scale Permeabilitycitations
- 2020New magneto-rheological fluids with high stability: Experimental study and constitutive modellingcitations
- 2019The role of rheological parameters on drying behaviour of a water-based cast tapecitations
- 2019The role of rheological parameters on drying behaviour of a water-based cast tapecitations
- 2019Mechanical properties of honeycomb nanoporous siliconcitations
- 2019Mechanical properties of honeycomb nanoporous silicon: A high strength and ductile structurecitations
- 2018Multiphysics modelling of manufacturing processes: A reviewcitations
- 2018Multiphysics modelling of manufacturing processes: A reviewcitations
- 2018Multiphysics modelling of manufacturing processes: A reviewcitations
- 2017Drying of a tape-cast layer: Numerical investigation of influencing parameterscitations
- 2016Ceramic tape casting: A review of current methods and trends with emphasis on rheological behaviour and flow analysiscitations
- 2016Improvement in Surface Characterisitcs of Polymers for Subsequent Electroless Plating Using Liquid Assisted Laser Processingcitations
- 2016Numerical modelling of the flow in the resin infusion process on the REV scale: A feasibility studycitations
- 2016Rheological Characterization of Green Sand Flow
- 2016Numerical modelling of evaporation in a ceramic layer in the tape casting process
- 2016Modeling coupled heat and mass transfer during drying in tape casting with a simple ceramics–water systemcitations
- 2016Modelling of fluid flow in tape casting of thin ceramics: Analytical approaches and numerical investigationscitations
- 2016Improvement in surface characterisitcs of polymers for subsequent electroless plating using liquid assisted laser processingcitations
- 2016Particle migration using local variation of the viscosity (LVOV) model in flow of a non-Newtonian fluid for ceramic tape castingcitations
- 2015Modelling of fluid flow in tape casting of thin ceramics: analytical approaches and numerical investigations
- 2014An evaluation of interface capturing methods in a VOF based model for multiphase flow of a non-Newtonian ceramic in tape castingcitations
- 2014Bingham plastic fluid flow model in tape casting of ceramics using two doctor blades – analytical approachcitations
- 2013Modeling of the interface behavior in tape casting of functionally graded ceramics for magnetic refrigeration partscitations
- 2013Quasi-steady state power law model for flow of (La0·85Sr0·15)0·9MnO3 ceramic slurry in tape castingcitations
- 2013Numerical Modeling of the Side Flow in Tape Casting of a Non-Newtonian Fluidcitations
- 2013Interface Behavior in Functionally Graded Ceramics for the Magnetic Refrigeration: Numerical Modelingcitations
- 2013Numerical modeling of coupled heat transfer and phase transformation for solidification of the gray cast ironcitations
- 2012Numerical modeling and experimental validation of microstructure in gray cast ironcitations
- 2012Numerical modeling of the flow of a power law ceramic slurry in the tape casting process
- 2012Interface Oscillation in the Side-by-Side (SBS) Tape Casting of Functionally Graded Ceramics (FGCs)
Places of action
| Organizations | Location | People |
|---|
article
New magneto-rheological fluids with high stability: Experimental study and constitutive modelling
Abstract
Magneto-rheological fluids (MRF) are known as a category of smart materials because they exhibit sudden viscosity changes upon application of magnetic field. In contrast to normal fluids, MRFs can sustain shear up to a yield stress. Stability and resistance against movement are important factors which determine the extent of application of a MRF. In this work, new MRFs are developed using engine oil as carrier liquid, carbonyl iron powder as magnetic particle, stearic acid and CHRYSO® Optima100 as additives. Stability of the samples is measured over time. The samples are exposed to magneto-rheological tests with combined liquid and Peltier temperature control. Samples A, B and C are prepared with low, medium and high particle fractions respectively and tested at different temperatures (−10 °C, 5 °C, 60 °C) but for samples D, E, F and G the rheology tests are conducted in room temperature (25 °C) but at variable magnetic field and shear rate. Inherent assumption of the existing constitutive models is that the flow curve of MRF is shifted by a field-dependent yield stress. In this paper the effect of magnetic field is formulated and based on the physical properties of MRFs, a new method is introduced for identification of material parameters. This method predicts the yield stress by comparing the storage and shear moduli. Obtained results are compared with those obtained from fitting the experimental flow curves and also with those obtained from Bingham model. It is shown that, results of the proposed model are in good agreement with the experimental data. Moreover, the calculated sedimentation ratio shows that simultaneous use of stearic acid and Optima100 significantly improves stability of MRFs.