Optimization of liquid film parameters of indirect evaporative cooling system based on machine vision

IF 5.1 3区工程技术 Q2 ENERGY & FUELS

Thermal Science and Engineering Progress Pub Date : 2024-10-01 DOI:10.1016/j.tsep.2024.102997

Yuwen You , Yan Chen , Bin Yang , Chunmei Guo , Rong Gao , Yiwei Ma

引用次数: 0

Abstract

The wet channel plate surface of indirect evaporative cooler (IEC) cannot be completely wet in actual working conditions, and the plate surface parameters of liquid film wetting rate and liquid film thickness are difficult to observe, and the lack of relevant experimental research and data support. Therefore, in this paper, machine vision technology will be used to experimentally investigate the wetting rate and liquid film thickness of the secondary side channel of the IEC, and the UDF interface program and the parameters of the original simulation model will be enhanced. The results show that the average and maximum errors of the first and second outlet temperatures of the corrected analytical model are reduced compared with the original model, and the average error is within 5% under different spray flow rates.

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基于机器视觉的间接蒸发冷却系统液膜参数优化

间接蒸发冷却器（IEC）的湿通道板面在实际工况下不可能完全湿润，板面的液膜润湿率和液膜厚度参数难以观测，且缺乏相关的实验研究和数据支持。因此，本文将利用机器视觉技术对 IEC 二次侧通道的润湿速率和液膜厚度进行实验研究，并对 UDF 界面程序和原仿真模型的参数进行改进。结果表明，修正后的分析模型与原模型相比，第一和第二出口温度的平均误差和最大误差均有所减小，在不同喷雾流速下的平均误差在 5%以内。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Thermal Science and Engineering Progress Chemical Engineering-Fluid Flow and Transfer Processes

CiteScore

7.20

自引率

10.40%

发文量

327

审稿时长

41 days

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