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Topology optimization of a coupled thermal-fluid system under a tangential thermal gradient constraint

机译:切线热梯度约束下耦合热流体系统的拓扑优化

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摘要

This paper presents a continuous adjoint approach for topology optimization of a coupled heat transfer and laminar fluid flow system under tangential thermal gradient (TTG) constraints. In this system, the thermal gradient along the boundary of multiple heat sources needs to be controlled. The design goals are to minimize the temperature of the domain, the fluid power dissipation and the TTG along the boundary of the heat sources. The first two goals are combined into a single cost function with weight variables. The TTG is constrained in one of two forms, an integral form where the integral of TTG squares along the boundaries of heat sources is constrained, or a point-wise form where TTG is constrained point-wise. A gradient-based approach is developed to obtain the optimized designs. A salient feature of our approach is the use of the continuous adjoint approach to derive gradients of both the cost function and two forms of TTG constraints. Numerical examples demonstrate that the continuous adjoint approach leads to successful topological optimization of the constrained thermal-fluid system. The use of TTG constraint is effective in lowering the TTG along the heat source boundaries. The resulting designs exhibit clear black/white contrast.
机译:本文提出了一种在切向热梯度(TTG)约束下耦合传热和层流流动系统拓扑优化的连续伴随方法。在该系统中,需要控制沿多个热源边界的热梯度。设计目标是使区域温度,流体功耗和沿热源边界的TTG最小化。前两个目标合并为具有权重变量的单个成本函数。 TTG被限制为以下两种形式之一:沿热源边界约束TTG正方形积分的积分形式;或受点向约束TTG的逐点形式。开发了一种基于梯度的方法来获得优化的设计。我们方法的一个显着特征是使用连续伴随方法来推导成本函数和两种形式的TTG约束的梯度。数值算例表明,连续伴随方法导致约束热流体系统的拓扑优化成功。使用TTG约束在沿热源边界降低TTG方面是有效的。所得设计显示出清晰的黑白对比。

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