Numerical Optimization of Flow Distribution inside Inlet Header of Heat Exchanger

Chien, Nguyen Ba; Linh, Nguyen Xuan; Oh, Jong-Taek

doi:10.1016/j.egypro.2019.01.597

Cited by 5 publications

(4 citation statements)

References 1 publication

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“…Due to this phenomenon, the flow is more uniform over the section's width. Chien et al (2019) have also obtained lower maldistribution coefficients by modifying inlet manifold in their numerical optimization work.…”

Section: Minichannelsmentioning

confidence: 99%

“…Numerical study where comparisons of some flow fields were made in (Mu et al 2015), and it was determined that the bifurcation structure manifold gives excellent distribution, which resulted in a very uniform temperature field over the heating surface. The numerical optimization of the flow distribution on an inlet manifold was proposed by (Chien et al 2019). Authors demonstrated an optimization model that reduces the flow maldistribution over 6.5 times compare to the case without an optimized manifold.…”

Section: Introductionmentioning

confidence: 99%

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Mitigation of Flow Maldistribution in Minichannel and Minigap Heat Exchangers by Introducing Threshold in Manifolds

Dąbrowski

2020

JAFM

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In the present paper, a detailed numerical investigation has been carried out to analyze the flow maldistribution in 50 parallel rectangular cross-section (1 mm depth and 1 mm width) minichannels and minigap section (1 mm depth and 99 mm width) with rectangular/trapezoidal manifolds in Z-type flow configuration. The author carried out numerical investigation with various mass flow rates, namely 0.05 kg/s, 0.1 kg/s and 0.2 kg/s which results in Reynolds number of 1532, 3064, 6128 respectively. A novel approach for the mitigation of non-uniform flow has been proposed introducing threshold at the entrance of the minigeometry section. The conventional case without threshold (as reference) and 1 mm, 3 mm and 7 mm threshold were introduced. The threshold has been employed by making a manifolds' depth bigger than section's depth. The maldistribution coefficient can be reduced twice in minigap section or three times in the minichannel section already with the 1 mm threshold as compared to the arrangement without threshold. It is found that rectangular manifold gives lower maldistribution coefficient than trapezoidal manifold which corresponds with actual state of the art. The distribution is more uniform in minichannel section than in minigap section for the same inlet parameters. To obtain uniform distribution of fluid flow should be stabilized already at the inlet manifold, at the entrance to the minichannel or minigap section. That was done by introducing the threshold in the manifolds, which is novelty of this study.

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Section: Minichannelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mitigation of Flow Maldistribution in Minichannel and Minigap Heat Exchangers by Introducing Threshold in Manifolds

Dąbrowski

2020

JAFM

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“…In addition, as a popular optimization method, NSGA-II combined with response surface method was also used in the configuration optimizations of STHX with helical baffles [23][24][25], spiral-wound heat exchanger [26], helically coiled tube heat exchanger [27], torsional flow heat exchanger [28], and triple concentric-tube heat exchanger [29]. Except for NSGA-II, some other novel optimization algorithms were also proposed to optimize configuration parameters of different heat exchangers, such as firefly algorithm [30], Tsallis differential evolution algorithm [31], bat algorithm [32], Taguchi method [33], particle swarm optimization (PSO) [34], cohort intelligence algorithm [35], tree traversal method [36], surrogate-based optimization algorithm [37], wale optimization [38], topology optimization [39], Jaya algorithm [40], and so on.…”

Section: Introductionmentioning

confidence: 99%

One Convenient Method to Calculate Performance and Optimize Configuration for Annular Radiator Using Heat Transfer Unit Simulation

Guo

Yang³

et al. 2020

Energies

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In order to calculate heat transfer capacity and air-side pressure drop of an annular radiator (AR), one performance calculation method was proposed combining heat transfer unit (HTU) simulation and plate-and-fin heat exchanger (PFHX) performance calculation formulas. This method can obtain performance data with no need for meshing AR as a whole, which can be convenient and time-saving, as grid number is reduced in this way. It demonstrates the feasibility of this performance calculation method for engineering applications. In addition, based on the performance calculation method, one configuration optimization method for AR using nondominated sorted genetic algorithm-II (NSGA-II) was also proposed. Fin height (FH) and number of fins in circumferential direction (NFCD) were optimized to maximize heat transfer capacity and minimize air-side pressure drop. Three optimal configurations were obtained from the Pareto optimal points. The heat transfer capacity of the optimal configurations increased by 22.65% on average compared with the original configuration, while the air-side pressure drop decreased by 33.99% on average. It indicates that this configuration optimization method is valid and can provide a significant guidance for AR design.

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“…For example, Wei et al [1] discussed a coupled CFD-Lagrange multipliers optimization method for flow distribution adjustments to prevent freezing of power generation natural draft cooling systems during winter operation. Chien et al [2], on the other hand, presented a coupled CFD-surrogate-based optimization of flow distribution in a heat exchanger inlet header. Zhou et al [3] focused on CFD investigation and optimization of a compact heat exchanger comprising a single row of tubes, and Łopata et al [4] published an article covering the experimental investigation of flow distribution in a similar cross-flow heat exchanger, but with a tube bank consisting of elliptical tubes.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Finite Element Analysis-Based Flow Distribution and Heat Transfer Model

et al. 2020

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A new strategy for fast, approximate analyses of fluid flow and heat transfer is presented. It is based on Finite Element Analysis (FEA) and is intended for large yet structurally fairly simple heat transfer equipment commonly used in process and power industries (e.g., cross-flow tube bundle heat exchangers), which can be described using sets of interconnected 1-D meshes. The underlying steady-state model couples an FEA-based (linear) predictor step with a nonlinear corrector step, which results in the ability to handle both laminar and turbulent flows. There are no limitations in terms of the allowed temperature range other than those potentially stemming from the usage of fluid physical property computer libraries. Since the fluid flow submodel has already been discussed in the referenced conference paper, the present article focuses on the prediction of the tube side and the shell side temperature fields. A simple cross-flow tube bundle heat exchanger from the literature and a heat recovery hot water boiler in an existing combined heat and power plant, for which stream data are available from its operator, are evaluated to assess the performance of the model. To gain further insight, the results obtained using the model for the heat recovery hot water boiler are also compared to the values yielded by an industry-standard heat transfer equipment design software package. Although the presented strategy is still a “work in progress” and requires thorough validation, the results obtained thus far suggest it may be a promising research direction.

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Numerical Optimization of Flow Distribution inside Inlet Header of Heat Exchanger

Cited by 5 publications

References 1 publication

Mitigation of Flow Maldistribution in Minichannel and Minigap Heat Exchangers by Introducing Threshold in Manifolds

Mitigation of Flow Maldistribution in Minichannel and Minigap Heat Exchangers by Introducing Threshold in Manifolds

One Convenient Method to Calculate Performance and Optimize Configuration for Annular Radiator Using Heat Transfer Unit Simulation

Nonlinear Finite Element Analysis-Based Flow Distribution and Heat Transfer Model

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