Multiphase flow flow control and heat exchange simulation system

Through multi-physical tensor modeling and asynchronous time stepping strategy, the problems of high high-dimensional computing costs and rigid resource allocation in multi-phase flow numerical simulation are solved, efficient and stable multi-objective optimization and physical authenticity are achieved, and the solution efficiency and accuracy of multi-phase flow flow control and heat exchange simulation are improved.

CN120470979AActive Publication Date: 2025-08-12YOBOW TECH(SHENZHEN) CO LTD
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Patent Information

Application Number
CN202510896340.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-01
Publication Date
2025-08-12
Estimated Expiration
2045-07-01

AI Technical Summary

Technical Problem

The prior art has problems such as high-dimensional algebraic equation system in the numerical simulation of multiphase flow, resulting in high computational cost, long optimization process and rigid allocation of computing resources, making it difficult to achieve high fidelity, fully coupled simulation and multi-objective optimization efficiency and physical authenticity.

Method used

The multi-physics field tensor modeling module is used to reconstruct the control equation as a higher-order tensor form, and dynamic rank dimensionality reduction and implicit coupling solution is performed in combination with phase interface curvature tensors, and asynchronous time stepping and multi-scale coordination module is constructed, and multi-objective optimization is performed in combination with physical constraint agent modeling.

Benefits of technology

It realizes efficient and stable high-dimensional coupled physical system solution, improves the convergence speed and physical reliability of multi-objective optimization, and optimizes the allocation and simulation cycle of computing resources.

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Abstract

The invention relates to the technical field of computational fluid mechanics and system control, and discloses a multiphase flow flow control and heat exchange simulation system, which comprises a multi-physical field tensor modeling module for reconstructing a control equation into a uniform high-order tensor and extracting a curvature tensor; the dynamic tensor dimension reduction and implicit coupling solving module is used for performing dynamic rank reduction on the tensor equation and constructing a tensor product Jacobian matrix; the physical constraint agent modeling and migration optimization module is used for constructing an agent objective function embedded with a physical conservation law; the asynchronous time stepping and multi-scale coordination module is used for realizing asynchronous time propulsion and strong coupling solution based on curvature tensor; and the multi-objective optimization and decision mapping module is used for performing multi-objective optimization based on the proxy objective function. According to the method, a multi-physical field control equation is reconstructed into a unified high-order tensor, and a tensor decomposition strategy for dynamic rank adaptive adjustment based on a phase interface curvature tensor and a Jacobian condition number is combined, so that efficient and stable solution of the high-dimensional coupling physical system is realized.
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