Multichannel heat exchanger flow distribution prediction method

A flow distribution and prediction method technology, applied in the field of heat exchanger design, can solve problems such as deviation

Active Publication Date: 2020-08-28
XI AN JIAOTONG UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

As for the local hydraulic loss, only relatively rough empirical constants or empirical formulas can be used to estimate the local loss coefficient. Because it ...

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  • Multichannel heat exchanger flow distribution prediction method
  • Multichannel heat exchanger flow distribution prediction method
  • Multichannel heat exchanger flow distribution prediction method

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Embodiment Construction

[0047] Provide the embodiment of the present invention below, Figure 4 In the multi-channel heat exchanger shown, the fluid on one side flows through the inlet pipe successively and enters the inlet head cavity, and then splits to each heat exchange channel, exchanges heat in the heat exchange core, and then converges to the outlet head cavity , and finally enters the outlet pipe and flows out of the heat exchanger. Its heat exchange channels are arranged in 8×4. Considering the symmetry, in the CFD calculation, it can be simplified by taking a quarter of it and then taking the symmetrical boundary treatment. Follow the steps below to Figure 4 The flow distribution of the multi-pass heat exchanger shown is predicted by:

[0048] 1) Determine if Figure 4 The shown multi-channel heat exchanger core channel and inlet and outlet structure, determine the geometric parameters;

[0049] 2) Use Solidworks to establish such as Figure 5 The geometric model of the inlet part of ...

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Abstract

The invention relates to a multichannel heat exchanger flow distribution prediction method based on computational fluid dynamics (CFD), an artificial neural network and a hydraulic loss network model.Aiming at any multi-channel heat exchanger, the multi-channel heat exchanger is divided into an inlet part, a heat exchange core body and an outlet part, a hydraulic loss network is established, andhydraulic loss of each channel comprises inlet local loss, on-way resistance loss and outlet local loss. The internal on-way loss of the channel is predicted through an empirical correlation; obtaining import and export local loss coefficient sample data through a CFD method. An import and export local loss coefficient prediction model is established through an artificial neural network. The initial flow distribution is given. The total hydraulic loss prediction values of all the channels are consistent through iterative computation, and then the flow distribution can be determined. Accordingto the prediction method, the flow distribution of the multi-channel heat exchanger under different working conditions can be accurately and efficiently predicted, the flow non-uniformity is effectively evaluated, and reference is provided for engineering application.

Description

technical field [0001] The invention belongs to the field of heat exchanger design, and in particular relates to a flow distribution prediction method of a multi-channel heat exchanger. Background technique [0002] The problem of flow distribution uniformity is common in multi-channel heat exchangers. Existing studies have shown that uneven flow distribution will have a significant negative impact on heat exchanger performance and should be avoided as much as possible. Therefore, it is of great significance to accurately and efficiently predict the flow distribution in multi-channel heat exchangers and evaluate the uniformity of flow distribution for the design and optimization of multi-channel heat exchangers. [0003] Since the prediction of the flow distribution involves the flow field information inside the heat exchanger, it is difficult to study it directly through experiments. In recent years, numerical simulation based on computational fluid dynamics (Computationa...

Claims

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Application Information

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IPC IPC(8): G06F30/17G06F30/28G06F30/27G06N3/04G06N3/08G06N3/12G06F113/08G06F119/14
CPCG06F30/17G06F30/28G06F30/27G06N3/084G06N3/126G06F2113/08G06F2119/14G06N3/045
Inventor 王秋旺石昊宁马挺
Owner XI AN JIAOTONG UNIV
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