Abstract:
A hierarchical method of mathematical and computer modeling of interval-stochastic thermal processes in complex electronic systems for various purposes is developed. The developed concept of hierarchical structuring reflects both the constructive hierarchy of a complex electronic system and the hierarchy of mathematical models of heat exchange processes. Thermal processes that take into account various physical phenomena in complex electronic systems are described by systems of stochastic, unsteady, and nonlinear partial differential equations and, therefore, their computer simulation encounters considerable computational difficulties even with the use of supercomputers. The hierarchical method avoids these difficulties. The hierarchical structure of the electronic system design, in general, is characterized by five levels: Level 1 — the active elements of the ES (microcircuits, electro-radio-elements); Level 2 — electronic module; Level 3 — a panel that combines a variety of electronic modules; Level 4 — a block of panels; Level 5 — stand installed in a stationary or mobile room. The hierarchy of models and modeling of stochastic thermal processes is constructed in the reverse order of the hierarchical structure of the electronic system design, while the modeling of interval-stochastic thermal processes is carried out by obtaining equations for statistical measures. The hierarchical method developed in the article allows to take into account the principal features of thermal processes, such as the stochastic nature of thermal, electrical and design factors in the production, assembly and installation of electronic systems, stochastic scatter of operating conditions and the environment, nonlinear temperature dependencies of heat exchange factors, unsteady nature of thermal processes. The equations obtained in the article for statistical measures of stochastic thermal processes are a system of 14 nonstationary nonlinear differential equations of the first order in ordinary derivatives, whose solution is easily implemented on modern computers by existing numerical methods. The results of applying the method for computer simulation of stochastic thermal processes in electron systems are considered. The hierarchical method is applied in practice for the thermal design of real electronic systems and the creation of modern competitive devices.
Citation:
A. G. Madera, “Hierarchical method for mathematical modeling of stochastic thermal processes in complex electronic systems”, Computer Research and Modeling, 11:4 (2019), 613–630
\Bibitem{Mad19}
\by A.~G.~Madera
\paper Hierarchical method for mathematical modeling of stochastic thermal processes in complex electronic systems
\jour Computer Research and Modeling
\yr 2019
\vol 11
\issue 4
\pages 613--630
\mathnet{http://mi.mathnet.ru/crm732}
\crossref{https://doi.org/10.20537/2076-7633-2019-11-4-613-630}
Linking options:
https://www.mathnet.ru/eng/crm732
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This publication is cited in the following 5 articles:
K. Chubur, I. Strukov, Svetlana Evdokimova, Vladimir Belokurov, Aleksey Platonov, Oleg Cherkasov, Konstantin Zolnikov, “Development of mathematical models of physical processes in a heterogeneous multilayer structure under radiation exposure”, Modeling of systems and processes, 15:1 (2022), 125
A. G. Madera, “Cluster method of mathematical modeling of interval-stochastic thermal processes in electronic systems”, Computer Research and Modeling, 12:5 (2020), e1023–e1038
Radi Romansky, “An Approach for Mathematical Modeling and Investigation of Computer Processes at a Macro Level”, Mathematics, 8:10 (2020), 1838
A G Madera, “Cluster mathematical model for conjugate thermal processes of the isothermal bodies system in the fluid flow”, J. Phys.: Conf. Ser., 1683:2 (2020), 022010
A. G. Madera, P. I. Kandalov, “Thermal Processes in Electronic Equipment at Uncertainty”, J. Engin. Thermophys., 29:1 (2020), 170