2019
DOI: 10.1016/j.ijheatmasstransfer.2018.11.083
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An integrated system-level and component-level optimization of heat transfer systems based on the heat current method

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Cited by 9 publications
(5 citation statements)
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“…Besides, the geometry parameters of heat exchangers 1 and 2, characteristic parameters of the pipeline network, and VSPs remain the same in the optimization computation. The characteristic parameters of the pipeline network and VSPs are presented in Tables 2 and 3, which are identical with them in References [37,42] for comparison. Table 4 compares the results of two cases, i.e., with and without component geometry optimization.…”
Section: Optimization Results and Discussionmentioning
confidence: 99%
“…Besides, the geometry parameters of heat exchangers 1 and 2, characteristic parameters of the pipeline network, and VSPs remain the same in the optimization computation. The characteristic parameters of the pipeline network and VSPs are presented in Tables 2 and 3, which are identical with them in References [37,42] for comparison. Table 4 compares the results of two cases, i.e., with and without component geometry optimization.…”
Section: Optimization Results and Discussionmentioning
confidence: 99%
“…此外, 热量流方法还可以与其他研究 方法耦合. 例如, 与流动换热过程的数值模拟结合, 能 够实现换热系统的多层次协同优化 [36,37] . 结合冷、热流体的能量守恒方程与传热方程, 可 得到两股流体的微元能量守恒方程: [22] .…”
Section: 该方法在工程分析中应用广泛 但系统的性能优劣严unclassified
“…Also, the diffuse-interface methods are often employed for topology optimization because of their simple formulations with the additional forcing terms [38]- [40]. Indeed, our previous studies demonstrate that VPM can be combined with the continuous adjoint method to conduct shape optimization for incompressible steady laminar flow [41], unsteady turbulent flows [42], and radiative heat transfer [43]. Therefore, it is interesting to extend the shape optimization algorithm based on VPM to compressible flows.…”
Section: Introductionmentioning
confidence: 99%