Numerical Analysis and Experimental Verification of Radial Shear Rolling of Titanium Alloy

Numerical simulation of metal forming processes is finding increasingly wide applications in advanced industry for the optimization of material processing conditions and prediction of process parameters, finally delivering a reduction of production costs. This work presents a comparison between simulation results of radial shear rolling (RSR) of VT3-1 titanium alloy (Ti-Al-Mo-Cr-Fe-Si) and results of experimental RSR at 1060 °C, 980 °C, and 900 °C in one, three, and five passes, respectively. The digital model (DM) demonstrates a high convergence of the calculation results (calculation error of less than 5%) with the actual geometric parameters of the experimental bars, their surface temperature, and rolling time during the experiment, which indicates a good potential for its application in the selection of deformation modes. Based on the simulation and experimental data, the conditions providing for the formation of differently sized grains in the bar cross-section have been identified. All of the as-rolled bars exhibit a gradient distribution of macrostructure grain size number (GSN), from the smallest one at the bar surface (2–4) to the greatest one in the center (4–6). The macrostructure GSN correlates with the workpiece temperature, which is the highest in the axial zone of the bars, and with the experimentally observed high plastic strain figures in the surface layers. It was found that, depending on the temperature conditions and reduction ratio per pass, any minor change in the values of process parameters can lead to the formation of macrostructures with different grain size numbers.

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Publication Details

Journal
Modelling—International Open Access Journal of Modelling in Engineering Science
Published
2025-08-29
DOI
https://doi.org/10.3390/modelling6030093
Primary Topic
Metallurgy and Material Forming
Type
article
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article

Numerical Analysis and Experimental Verification of Radial Shear Rolling of Titanium Alloy

Dmitriy Demin, Anna Khakimova, Nikolay V. Letyagin, T. Yu. Kin et al.
Modelling—International Open Access Journal of Modelling in Engineering Science
Metallurgy and Material Forming
article

Numerical Analysis and Experimental Verification of Radial Shear Rolling of Titanium Alloy

Dmitriy Demin, Anna Khakimova, Nikolay V. Letyagin, T. Yu. Kin, Abdullah Mahmoud Alhaj Ali, Yu. V. Gamin
article en

Abstract

Numerical simulation of metal forming processes is finding increasingly wide applications in advanced industry for the optimization of material processing conditions and prediction of process parameters, finally delivering a reduction of production costs. This work presents a comparison between simulation results of radial shear rolling (RSR) of VT3-1 titanium alloy (Ti-Al-Mo-Cr-Fe-Si) and results of experimental RSR at 1060 °C, 980 °C, and 900 °C in one, three, and five passes, respectively. The digital model (DM) demonstrates a high convergence of the calculation results (calculation error of less than 5%) with the actual geometric parameters of the experimental bars, their surface temperature, and rolling time during the experiment, which indicates a good potential for its application in the selection of deformation modes. Based on the simulation and experimental data, the conditions providing for the formation of differently sized grains in the bar cross-section have been identified. All of the as-rolled bars exhibit a gradient distribution of macrostructure grain size number (GSN), from the smallest one at the bar surface (2–4) to the greatest one in the center (4–6). The macrostructure GSN correlates with the workpiece temperature, which is the highest in the axial zone of the bars, and with the experimentally observed high plastic strain figures in the surface layers. It was found that, depending on the temperature conditions and reduction ratio per pass, any minor change in the values of process parameters can lead to the formation of macrostructures with different grain size numbers.

Modelling—International Open Access Journal of Modelling in Engineering ScienceVol. 6(3)
Moscow State Institute of Electronics and Mathematics (RU), National Research University Higher School of Economics (RU), National University of Science and Technology (ZW), Moscow Polytechnic University (RU)
Openalex Percentile: Top 74%
Metallurgy and Material Forming
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