Active optimization design theory and method for heat transfer unit and its application on shape design of cylinder in convective heat transfer

Liu, Zhichun; Liu, Wei; Chen, Gang

doi:10.1016/j.ijheatmasstransfer.2015.07.018

Cited by 15 publications

(4 citation statements)

References 23 publications

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“…Visualization experiments to observe the motion characteristics of liquid water in the flow channel, and the influence of optimized channel shape [34,35] on droplet behavior will be considered in our future studies. And we have studied the optimal structural design of heat transfer element [36][37][38][39] based on Multi-Objective Genetic Algorithm, which could be used in the optimization design of fuel cell to obtain the good water and thermal managements in our future investigation. With time, the amount of liquid water gathered in the flow channel increased, leading to a larger area covered by water film and larger droplets above the GDL hole.…”

Section: Discussionmentioning

confidence: 99%

Numerical Simulation of Water Transport in a Proton Exchange Membrane Fuel Cell Flow Channel

Shen

Liu

et al. 2018

Energies

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Water management of proton exchange membrane fuel cells (PEMFCs) is crucial to maintain high performance and stable operation. The flow channel is an indispensable part of PEMFCs, which allows the reactant gases to flow into the system, and the liquid water to be removed from the fuel cells. A transient 3D model based on volume of fluid methodology is used to study the dynamic characteristics of gas-liquid two-phase flow in a PEMFC flow channel. The structure of the flow channel, the wettability of channel surfaces, the air inlet velocity, the dimensions of the water droplets, and the effect of phase transition are considered to obtain the optimal solution. The results show that the water droplet transport process is seriously affected by the wettability of the channel surfaces. A modified surface design with varied static surface contact angle could perform the detachment without external force with an appropriate initial velocity. Besides, phase transitions could seriously influence the form and the distribution of water existing in the channel.

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Section: Discussionmentioning

confidence: 99%

Numerical Simulation of Water Transport in a Proton Exchange Membrane Fuel Cell Flow Channel

Shen

Liu

et al. 2018

Energies

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“…It is worth noting that coupling Comsol and Matlab is convenient for users because the communication and call methods between these two softwares do not require complex manual configurations. Meanwhile, this coupling method has been proved effective for optimizing heat transfer unit in our previous work [13]. By this method, a group of Pareto solutions are obtained according to the initial parameters.…”

Section: Optimization Proceduresmentioning

confidence: 99%

“…Meanwhile, two conflicting objectives, Nusselt number Nu and friction factor f, are considered to be optimized at the same time. In present study, an effective design method [13] coupling GA and computational fluid dynamics (CFD) analyzes is applied to solve the multi-objective problems mentioned above. Subsequently, all the non-inferior solutions (Pareto solutions) obtained by MOGA are ranked by a famous decision making technique, TOPSIS (technique for order preference by similarity to an ideal solution) [14].…”

Section: Introductionmentioning

confidence: 99%

Multi-objective genetic optimization of the heat transfer for tube inserted with porous media

Liu

2016

International Journal of Heat and Mass Transfer

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“…In the present work, a minichannel heat sink has been optimized by means of a multi-objective genetic algorithm where the two objectives are the minimization of the thermal resistance (h) and, at the same time, the minimization of the pumping power (P). Instead of simplified numerical models or surrogate models mainly applied in the existing literature, a three-dimensional numerical model is optimized here by coupling the finite element method and genetic algorithm [19]. After the optimization, the initial population converges to a set of nondominated solutions, called the Pareto front.…”

Section: Introductionmentioning

confidence: 99%

Optimal Structural Design of a Heat Sink With Laminar Single-Phase Flow Using Computational Fluid Dynamics-Based Multi-Objective Genetic Algorithm

Shan

Liu

2017

Journal of Heat Transfer

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This paper proposes a general method combining evolutionary algorithm and decision-making technique to optimize the structure of a minichannel heat sink (MCHS). Two conflicting objectives, the thermal resistance θ and the pumping power P, are simultaneously considered to assess the performance of the MCHS. In order to achieve the ultimate optimal design, multi-objective genetic algorithm is employed to obtain the nondominated solutions (Pareto solutions), while technique for order preference by similarity to an ideal solution (TOPSIS) is employed to determine which is the best compromise solution. Meanwhile, both the material cost and volumetric flow rate are fixed where this nonlinear problem is solved by applying the penalty function. The results show that θ of Pareto solutions varies from 0.03707 K W−1 to 0.10742 K W−1, while P varies from 0.00307 W to 0.05388 W, respectively. After the TOPSIS selection, it is found that P is significantly reduced without increasing too much θ. As a result, θ and P of the optimal MCHS determined by TOPSIS are 35.82% and 52.55% lower than initial one, respectively.

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Active optimization design theory and method for heat transfer unit and its application on shape design of cylinder in convective heat transfer

Cited by 15 publications

References 23 publications

Numerical Simulation of Water Transport in a Proton Exchange Membrane Fuel Cell Flow Channel

Numerical Simulation of Water Transport in a Proton Exchange Membrane Fuel Cell Flow Channel

Multi-objective genetic optimization of the heat transfer for tube inserted with porous media

Optimal Structural Design of a Heat Sink With Laminar Single-Phase Flow Using Computational Fluid Dynamics-Based Multi-Objective Genetic Algorithm

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