Numerical investigation on heat transfer and pressure drop characteristics of coupling transcritical flow and two-phase flow in a printed circuit heat exchanger

Peng, Zhao‐Rui; Zheng, Qiu‐Yun; Chen, Jie; Yu, Sicong; Zhang, Xinrong

doi:10.1016/j.ijheatmasstransfer.2020.119557

Cited by 19 publications

(3 citation statements)

References 34 publications

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“…Peng et al [48] investigated the coupled transcritical-condensation flow in a printedcircuit heat exchanger. A numerical model of a double-bank semi-circular straight channel is used to calculate the local HTC on both the hot and the cold side.…”

Section: Cfdmentioning

confidence: 99%

Heat Transfer Coefficient Distribution—A Review of Calculation Methods

Duda

2023

Energies

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Determination of the heat transfer coefficient (HTC) distribution is important during the design and operation of many devices in microelectronics, construction, the car industry, drilling, the power industry and research on nuclear fusion. The first part of the manuscript shows works describing how a change in the coefficient affects the operation of devices. Next, various methods of determining the coefficient are presented. The most common method to determine the HTC is the use of Newton’s law of cooling. If this method cannot be applied directly, there are other methods that can be found in the open literature. They use analytical formulations, the lumped thermal capacity assumption, the 1D unsteady heat conduction equation for a semi-infinite wall, the fin model, energy conservation and the analogy between heat and mass transfer. The HTC distribution can also be calculated by means of computational fluid dynamics (CFD) modelling if all boundary conditions with fluid and solid properties are known. Often, the surface on which the HTC is to be determined is not accessible for any measuring sensors, or their installation might disturb the analysed phenomenon. It also happens that calculations using direct or CFD methods cannot be performed due to the lack of required boundary conditions or sufficiently proven models to analyse the considered physical phenomena. Too long a calculation time needed by CFD tools may also be problematic if the method should be used in the online mode. One way to solve the above problem is to assume an unknown boundary condition and include additional information from the sensors located at a certain distance from the investigated surface. The problem defined in this way can be solved by inverse methods. The aim of the paper is to show the current state of knowledge regarding the importance of the heat transfer coefficient and the variety of methods that can be used for its determination.

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Section: Cfdmentioning

confidence: 99%

Heat Transfer Coefficient Distribution—A Review of Calculation Methods

Duda

2023

Energies

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“…The deviation between the one couple channels and the seven couple ones was 3.34% in their study, which was acceptable. Considering the computational speed, almost all numerical studies on PCHE took a couple of hot and cold channels as the research object [6,33,34]. The simulation is on cross flow in the PCHE channel with a full length (L) of 200 mm, the height (H) of 2.92 mm and the width of 2.62 mm, using supercritical methane-ethane mixture in hot side and water in cold side.…”

Section: Numerical Schemes 21 Computational Model and Boundary Condit...mentioning

confidence: 99%

Numerical investigation on flow and heat transfer characteristics of supercritical methane–ethane mixture in a straight channel

Wang

Chen³

et al. 2022

STET

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Printed Circuit Heat Exchanger (PCHE) is considered as a promising heat exchanger for offshore Liquefied Natural Gas (LNG) production due to its compactness and high efficiency. To reveal the flow and heat transfer performance of real component nature gas mixture in PCHE, numerical study was conducted to obtain flow and heat transfer characteristics of supercritical methane–ethane mixture in a straight channel of PCHE. The influence of operating parameters including inlet temperature, mass flux and outlet pressure are investigated. The simulation results show that heat transfer coefficient and pressure drop increase with the increase of inlet temperature and mass flux, and decrease with the increase of outlet pressure. The overall variation tendency of heat transfer coefficient and pressure drop in supercritical methane–ethane mixture flow was similar to those in supercritical methane flow, but there still exists some difference due to their different physical properties. For the value of heat transfer coefficient, supercritical methane flow is about 7% larger than that of supercritical methane–ethane mixture flow. And for frictional pressure drop, supercritical methane flow is much larger by about 12%. Finally, new correlations were proposed for supercritical methane–ethane mixture flow, which are helpful for a more accurate flow and heat transfer calculation in PCHE designing for natural gas.

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“…Nanofluid refers to a stationary fluid in which particles in nanoscale are suspended and dispersed [ 1 ]. Today, nanofluids are used in thermal issues in various cases, which is due to the presence of intra-fluid solid nanoparticles which greatly affect thermal performance in heat transfer applications [ [2] , [3] , [4] , [5] , [6] , [7] , [8] ]. But the important point of nanofluids application in thermal equipment is their appropriate production to overcome some problems namely corrosion, agglomeration, erosion, and instability [ [9] , [10] , [11] , [12] , [13] , [14] ].…”

Section: Introductionmentioning

confidence: 99%