摘要：Helically coiled tube (HCT) is used extensively in compact types of heat exchangers. Complete knowledge of gas-liquid flow behavior in HCT is essential in designing the heat transfer equipment involving phase change. Although the gas-liquid flow patterns in straight tubes have been widely studied, investigations on flow pattern recognition in HCT are still scarce. In this paper, based on the backlight imaging tomography and self-designed wire-mesh sensor, air-water experiments are carried out to study the characteristics of gas-liquid flow in a transparent HCT. Bubble, plug, slug, wavy and annular flow are observed, and their void fraction at the cross-section of the tube are measured and analyzed using the statistic parameters of time-trace, PDF and CPDF. Owing to the simplicity of implementation, the void fraction data are subsequently utilized along with the k-Nearest Neighbors algorithm (KNN algorithm) to identify the flow patterns objectively. Finally, a flow regime map is proposed and compared with the previous straight flow map and HCT map in the literatures. Accordingly, the influence of curvature-induced centrifugal force and secondary flow on the phase distribution and flow-regime transition is revealed in the present study. ? 2022

ISSN号：0301-9322

卷、期、页：卷154

发表日期：2022-09-01

影响因子：3.185800

期刊分区（SCI为中科院分区）：三区

收录情况：EI（工程索引）

发表期刊名称：International Journal of Multiphase Flow

参与作者：刘莉,刘帅,顾汉洋

通讯作者：胡兵

第一作者：王科

论文类型：期刊论文

论文概要：刘莉,胡兵,刘帅,王科,顾汉洋，Recognition of gas-liquid flow regimes in helically coiled tube using wire-mesh sensor and KNN algorithm，International Journal of Multiphase Flow，2022，卷154

论文题目：Recognition of gas-liquid flow regimes in helically coiled tube using wire-mesh sensor and KNN algorithm