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Large Scale 3D Topology Optimization of Conjugate Heat Transfer

机译:共轭传热的大规模3D拓扑优化

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This paper presents an approach for large scale density-based topology optimization (TO)of a three-dimensional thermal-fluid cooling system. The forced cooling system is simulated with weakly coupled stationary incompressible Navier-Stokes equation and the energy equation. Under a heat source, we study the distribution of the conductive solid materials in order to minimize the temperature of the solid components as well as the flow energy dissipation. The governing state equations and their adjoint equation for obtaining sensitivity are solved through a stabilized finite element formulation. The design domain is discretized with millions of tetrahedral elements. Numerical examples are presented to show the accuracy of our solver. Topologically optimized designs in several test cases are presented.
机译:本文提出了一种用于大规模热流体冷却系统的大规模基于密度的拓扑优化(TO)的方法。用弱耦合固定不可压缩的Navier-Stokes方程和能量方程对强制冷却系统进行了仿真。在热源下,我们研究了导电固体材料的分布,以使固体组分的温度和流动能耗散最小化。通过稳定的有限元公式求解了用于获得灵敏度的控制状态方程及其伴随方程。设计领域离散了数百万个四面体元素。数值示例表明了我们求解器的准确性。介绍了在几个测试案例中进行拓扑优化的设计。

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