Issue |
ITM Web Conf.
Volume 59, 2024
II International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-II 2023)
|
|
---|---|---|
Article Number | 01015 | |
Number of page(s) | 6 | |
Section | Hybrid Modeling and Optimization in Complex Systems: Advances and Applications | |
DOI | https://doi.org/10.1051/itmconf/20245901015 | |
Published online | 25 January 2024 |
Search method for optimal interpolation of thermomechanical coefficients for conventional and low alloy steels
1
Reshetnev Siberian State University of Science and Technology,
31, Krasnoyarsky Rabochy Av.,
Krasnoyarsk,
660037,
Russian Federation
2
Siberian Federal University,
79, Svonodny Av.,
Krasnoyarsk,
660041,
Russian Federation
* Corresponding author: shorrcan@gmail.com
One of the most important factors influencing the behaviour of a metal when subjected to temperature and pressure is the material's ability to resist deformation. So-called thermomechanical coefficients are widely used for mathematical description of this property. These are the ones that determine the direct effect on deformation resistance. There are temperature coefficient (Kt) deformation degree coefficient (Kɛ) and deformation rate coefficient (Ku) describing the influence of temperature, degree of deformation and deformation rate respectively. The situation becomes complicated because the thermomechanical coefficients are not constants. For example, as the temperature increases, the deformation resistance decreases. Also, the deformation resistance increases with increasing degree of deformation and the deformation rate increases with the deformation resistance increases too. The aim of this paper is to find the most accurate method of interpolating thermomechanical coefficients for various steels and alloys using the least squares method.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.