| 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, Vinod
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (17/17 displayed)
- 2024Bioactivity and corrosion analysis of thermally sprayed hydroxyapatite based coatings
- 2024MIL-101(Cr)/Aminoclay Nanocomposites for Conversion of CO2 into Cyclic Carbonatescitations
- 2024Cellulose‐based smart materials: Novel synthesis techniques, properties, and applications in energy storage and conversion devicescitations
- 2024Corrosion inhibition analysis on cerium induced hydrophobic surface of Al-6061/SiC/Al<sub>2</sub>O<sub>3</sub> hybrid compositescitations
- 2023Analyzing the tribological and mechanical performance of Al-6061 with rare earth oxides: An experimental analysiscitations
- 2023Structural, morphological, optical and biomedical applications of Berberis aristata mediated ZnO and Ag-ZnO nanoparticlescitations
- 2023Organic sensing element approach in electrochemical sensor for automated and accurate pesticides detectioncitations
- 2023Sustainable utilization and valorization of potato waste: state of the art, challenges, and perspectivescitations
- 2022On-Sun Testing of a High-Temperature Solar Receiver’s Flux Distributioncitations
- 2022Effect of REOs on tribological behavior of aluminum hybrid composites using ANNcitations
- 2021A CNN With Deep Learning for Non-Equilibrium Characterization of Al-Sm Melt Infusion Into a B4C Packed Bed
- 2019Uncertainty Quantification of Molten Hafnium Infusion Into a B4C Packed-Bed
- 2019Microstructure and magnetic behavior of FeCoNi(Mn-Si)x (x = 0.5, 0.75, 1.0) high-entropy alloyscitations
- 2018Utilization of Machine Learning to Predict the Surface Tension of Metals and Alloys
- 2018Predicting the Depth of Penetration of Molten Metal Into a Pore Network Using TensorFlow
- 2015Optical and Structural Study of Polyaniline/Polystyrene Composite Filmscitations
- 2012Simulation of Cooling Rate of Gray Cast Iron Casting in a Sand Mold and its Experimental Validationcitations
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article
Simulation of Cooling Rate of Gray Cast Iron Casting in a Sand Mold and its Experimental Validation
Abstract
<jats:p>Estimation of cooling rates of gray cast iron casting in the sand mold and its dependency on design and process parameters is one of the keys for achieving best processing conditions to produce quality castings. The estimation of cooling rate involves modeling of fluid flow, heat transfer and solidification of molten metal inside the mold. Prediction of heat transfer has been carried out from filling of mold but the estimation of cooling rate has been carried out after complete filling of the mold. In the present work fluid flow, heat transfer and solidification of molten metal in a sand mold model has been developed on a Pro-Cast 2008 platform. A stepped bar pattern with different thickness has been fabricated to carry out the experiment. Stepped bar pattern has been selected because gray cast iron castings are thickness sensitive as well as different section of castings have different cooling rate. Cooling rates have been determined experimentally by measuring the Dendritic Arm Spacing (DAS) and Secondary Dendritic Arm Spacing (SDAS) from the microstructure of different steps. Results show that the morphology of graphite, dendritic arm spacing and secondary dendritic arm spacing as well as the interlamellar spacing of eutectic structure depend on the casting thickness. These decreases as the thickness of castings decrease because thinner section of casting has higher rate of cooling than the thicker section. The estimated cooling rate matched well with the experimentally measured cooling rate.</jats:p>