| 摘要: |
| 泡沫金属填充于换热器通道内能有效提高换热器两相传热性能,具有较好的应用前景,但要求对泡沫金属通道内两相压降能够进行准确的预测,以满足工程应用中设备和系统的设计要求。本文使用了6篇文献的泡沫金属通道内两相压降实验数据,实验条件包括:泡沫金属PPI为5-40,孔隙率为0.87-95;通道水力直径为4.36-13.8mm;质流密度为0-350kg /( m2?K);干度为0-0.8。分析了两相流因子和Lockhart-Matinelli参数的分布规律,发现两相流因子随泡沫金属孔径与通道水力直径之比减小 而增大,随干度的增大而增大;当径比从0.179变为0.31时,两相流因子提升了1.37-1.52倍;当干度从0变为0.8时,两相流 因子最大提升了3.41倍。同时基于Lookhart-Marinlli关联式开发了一种新型泡沫金属通道两相压降预测关联式，结果表明,新的关联式的预测值与实验数据的绝对平均误差为22%,该关联式能准确预测泡沫金属通道的两相压降。 |
| 关键词: 泡沫金属 两相压降 预测关联式 |
| DOI： |
| 投稿时间：2020-09-30 修订日期：2020-11-24
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| 基金项目:国家自然科学基金(51876138）资助项目；天津市自然科学基金(17JCYBJC21100) 项目资助。 |
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| A New Two-Phase Pressure Drop Correlation for Metal Foam Channels |
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Liu Yu, Li Xue, Wang Shixue, Zhu Yu
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| (School of Mechanical Engineering，Tianjin University) |
| Abstract: |
| The metal foam used for filling a heat exchanger channel can effectively improve two-phase heat transfer performance and has good application prospects. Accurate prediction of the two-phase pressure drops in the metal foam channel is required for equipment and system designs in engineering applications. It is necessary to develop a suitable method for predicting the two-phase pressure drop in metal foam channels under a wide range of conditions. The two-phase pressure drop experimental data in the metal foam channels of six references were used. The experimental conditions included metal foam pores per inch (PPI) of 5–40, porosity of 0.87–95, channel hydraulic diameter of 4.36–13.8 mm, mass flux of 0–350 kg/（m2·s）,and quality of 0–0.8. The distribution of the two-phase multiplier and the Lockhart-Martinelli parameter was analyzed, and it was found that the two-phase multiplier increased with a decrease in the ratio of the metal foam pore diameter to the channel hydraulic diameter and increased with an increase in the quality; when the diameter ratio changes from 0.31 to 0179, the two-phase multiplier increases by 1.37 to 1.52; and when the quality changes from 0 to 0.8, the two-phase multiplier increases by a factor of 3.41. A new correlation was developed based on the Lockhart-Martinelli correlation. The results show that the absolute average error between the predicted values and experimental data is 22%, which indicates that the new correlation can provide an accurate prediction. |
| Key words: metal foam two-phase pressure drop predictive correlation |
