Abstract: The formulation of the proposed methods and algorithms facilitates a comprehensive examination of intricate non-stationary thermo-mechanical processes in rods with varying cross-sectional geometries. Furthermore, it advances the theoretical framework for analyzing the thermo-mechanical properties of rod structures utilized in the machinery industry of the Republic of Kazakhstan. The creation of these intellectual products aids in the progression of this sector and fortifies the nation's sovereignty. This article delineates methods and algorithms for investigating non-stationary thermo-mechanical processes in rods with diverse cross-sectional shapes that influence global manufacturing technologies. The scientific and practical importance of this work lies in the application potential of the developed approach for examining non-stationary thermo-mechanical characteristics of rod-like elements in various installations. The findings also enhance the scientific research direction in mechanical engineering. In conclusion, the article outlines future technological advancements, summarizes the research on non-stationary thermo-mechanical processes in rods with different cross-sectional geometries, and highlights significant economic benefits by facilitating the selection of reliable rods for specified operating conditions. This ensures the continuous and dependable operation of machinery used in mechanical engineering.

Zhuldyz Tashenova, Elmira Nurlybaeva, Zhanat Abdugulova, Shirin Amanzholova, Nazira Zharaskhan, Aigerim Sambetova and Anarbay Kudaykulov, “Computational Modeling of the Thermally Stressed State of a Partially Insulated Variable Cross-Section Rod” International Journal of Advanced Computer Science and Applications(IJACSA), 15(8), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150819

@article{Tashenova2024,
title = {Computational Modeling of the Thermally Stressed State of a Partially Insulated Variable Cross-Section Rod},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150819},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150819},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {8},
author = {Zhuldyz Tashenova and Elmira Nurlybaeva and Zhanat Abdugulova and Shirin Amanzholova and Nazira Zharaskhan and Aigerim Sambetova and Anarbay Kudaykulov}
}