Numerical Modeling of a Nonlinear Heat Conduction Process
Zair UzakovKarshi branch of Tashkent University of Information Technologies named after Muhannad al-Khwarizmi, Karshi, Republic of Uzbekistan
2020 International Conference on Information Science and Communications Technologies (ICISCT)conference2020en
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The article presents the results of numerical modeling of a nonlinear heat conduction process using explicit and implicit conservative difference schemes, as well as various methods for calculating the value of the heat conductivity coefficient, which is a power-law function of temperature.
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