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The researchers of Belgorod State University developed a novel heat-resistant alloy

The new alloy by a joint research group from Belgorod State University and Hunan University was designed by using a method predicting the mechanical properties of high-entropic alloys based on machine learning

The researchers from the Bulk Nanostructured Materials Laboratory of the Institute of BelSU Materials Science and Innovative Technologies and Hunan University in Changsha (China) developed a method aimed at improving the efficiency of new alloys design in the Al-Cr-Nb-Ti-V-Zr system. The proposed method has already enabled developing a promising heat-resistant material. Sergey Zherebtsov, Professor at the Department of Materials Science and Nanotechnology, noted that the development of high-efficiency alloys with promising mechanical properties has been the focus of the modern materials science.

Our proposed predictive method is based on different approaches machine learning, phenomenological rules and CALPHAD modelling, said Sergey.

According to Denis Klimenko, a Junior Research Associate at the Bulk Nanostructured Materials Laboratory, the designed pilot model is based on vector reference method and allows predicting the yield strength of high-entropic alloys with a given phase composition in the temperature ranged between 20-800 Celsius. At the same time the predictions have a rather high accuracy.

As a practical result of the predictive model, an alloy containing aluminium, chromium, niobium, titanium and vanadium proved a promising combination of mechanical properties: ductility and strength at 20C (16.6% and 1295 MPa, respectively) and at 800C (over 50% and 898 MPa, respectively).



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