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Thermophysical properties and containerless 2 solidification of Al-22.5wt%Cu in reduced gravity using the ISS-EML
Download2023-01-01
Champdoizeau, Q., Valloton, J., Henein, H.
A hypoeutectic Al–22.5 wt pctCu sample was processed using the Electro-Magnetic Levitator on board of the International Space Station within the frame of the European Space Agency projects NEQUISOL and THERMOLAB. In total, 21 cycles of melting and cooling were carried out, with the last cycle...
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Effect of cold wire addition in tandem submerged arc welding on weld geometry and micro-hardness of heavy gauge X70 steel
Download2022-01-01
Ren, T., Mohammadijoo, M., Wiskel, J.B., Lazor, R., Willett, E., Ivey, D.G., Henein, H.
The pipeline industry has undertaken an essential upgrade of well established X70 pipeline steel in heavy gauge pipes to fill the demand of increased operating pressures. A developed welding process, cold wire tandem submerged arc welding (CWTSAW), with improved deposition rate and travel speed...
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2022-01-01
Henein, H., Bogno, A.-A., Yin, S., Natzke, P., Gallerneault, M.
Scandium (Sc) is an expensive alloying element which has an important effect on the properties of aluminum alloys. It is of interest to determine for a variety of solidification conditions the effect of minor addition, in the hypoeutectic levels, of Sc on Al alloys. This study builds on past work...
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2022-01-01
Bhardwaj, N., Henein, H., Wolfe, T.
Fused filament fabrication (FFF) is a method used to fabricate initial prototypes out of polymeric materials with printed parts often being used as load carrying elements. The mechanical properties of various polymer materials produced under certain printing conditions exhibit superior strength...
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Automated semantic segmentation of NiCrBSi-WC optical microscopy images using convolutional neural networks
Download2022-01-01
Rose, D., Forth, J., Henein, H., Wolfe, T., Qureshi, A.
Convolutional neural networks (CNNs) were used for the semantic segmentation of angular monocrystalline WC from NiCrBSi-WC optical microscopy images. This deep learning approach was able to emulate the laborious task of manual segmentation effectively, with a mean intersection over union (IOU)...
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On the role of orifice wetting for Al and Al22.5wt%Cu with Al2O3 in the Discharge Crucible method
Download2022-01-01
The demand to develop Materials Genomics and Integrated Materials Computation requires the availability of high temperature property data of liquid metals. As computing power and algorithms are constantly being improved, the accuracy of thermophysical property data has emerged as one of the...
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2022-01-01
Valloton, J., Mahdi, N., Rabago, L., Chung, J., Henein, H.
Al-33wt%Cu eutectic droplets were rapidly solidified using Impulse Atomization, a drop tube technique. The samples were then processed in situ in an SEM using an HTN-0101 MEMS heating chip manufactured by Norcada. The temperature of the chip, as well as the heating and cooling rates, can be...
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The Discharge Crucible Method: update on experimental design, measurements, and orifice wetting
Download2022-01-01
The physicochemical properties, viscosity, density, and surface tension, are critical properties of liquid metals and alloys. These properties are needed for thermodynamics, solidification modelling, and materials properties databases. The discharge crucible method (DC) developed in 2003 has been...
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2021-01-01
Ahmed, E., Henein, H., Qureshi, A., Liu, J.
Downhole tools made of dissolvable alloys (DAs) are getting more attractive, especially with the difficulties that arise from drilling wellbores with longer lateral distances. To date, most of the DAs are based on Al alloys (AAs) or Mg alloys, which offer undesirable mechanical properties. This...
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Large-scale Metal Additive Manufacturing: A Holistic Review of the State of the Art and Challenges
Download2021-01-01
Lehmann, T., Rose, D., Ranjbar, E., Ghasri-Khouzani, M., Tavakoli, M., Henein, H., Wolfe, T., Qureshi, A.
Additive Manufacturing (AM) has the potential to completely reshape the manufacturing space by removing the geometrical constraints of commercial manufacturing and reducing component lead time, especially for large-scale parts. Coupling robotic systems with direct energy deposition (DED) additive...