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Topology optimization for transient heat transfer problems

机译:瞬态传热问题的拓扑优化

摘要

The focus of this work is on passive control of transient heat transfer problems using the topology optimization (TopOpt) method [1]. The goal is to find distributions of a limited amount of phase change material (PCM), within a given design domain, which optimizes the heat energy storage [2]. Our aim is to obtain manufacturable designs [3] as well as demonstrating TopOpt for mixed multiphysics problems [4].TopOpt provides material distributions in a given design domain, optimized with respect to a given objective and satisfying a set of constraints. Originating in static mechanical problems, TopOpt has later been extended to transient problems in mechanics and photonics (e.g. [5], [6] and [7]). In the presented approach, the optimization is gradient-based, where in each iteration the non-steady heat conduction equation is solved,using the finite element method and an appropriate time-stepping scheme. A PCM can efficiently absorb heat while keeping its temperature nearly unchanged [8]. The use of PCM ine.g. electronics [9] and mechanics [10], yields improved performance and lower costs depending on a.o., the spatial distribution of PCM.The considered problem consists in optimizing the distribution of PCM in a design domain, subject to a periodic heat influx. The objective is to stabilize the heat outflow. Application examples include keeping constant room temperature for oscilatory heat input or keeping constant working temperature of a CPU subjected to time varying computational load.
机译:这项工作的重点是使用拓扑优化(TopOpt)方法[1]被动控制瞬态传热问题。目的是在给定的设计域内找到有限数量的相变材料(PCM)的分布,从而优化热能存储[2]。我们的目标是获得可制造的设计[3]并论证混合多物理场问题的TopOpt [4]。To​​pOpt提供给定设计领域中的材料分布,针对给定目标进行了优化并满足了一组约束。 TopOpt起源于静态机械问题,后来又扩展到机械和光子学中的瞬态问题(例如[5],[6]和[7])。在提出的方法中,优化是基于梯度的,其中在每次迭代中都使用有限元方法和适当的时间步长方案来求解非稳态热传导方程。 PCM可以有效吸收热量,同时保持其温度几乎不变[8]。使用PCM ine.g.电子学[9]和机械学[10]产生的性能提高且成本更低,这取决于PCM的空间分布。所考虑的问题在于,在设计域中优化PCM的分布,并使其受到周期性的热量涌入。目的是稳定热量流出。应用示例包括为振荡热输入保持恒定的室温,或使CPU承受随时间变化的计算负载而保持恒定的工作温度。

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