Analysis of the Thermal-Kinetic Energy Coupling Characteristics and Spray Heat Source Term Modeling of Hollow-Cone Atomizing Nozzles
文献类型: 外文期刊
作者: Cao, Hua;Ma, Chunya;Li, Peng;Zhan, Wei;Sun, Xiaotong;Cao, Yinbo;Fan, Yongshen
作者机构:
关键词: atomizing micro-sprinkler;kinetic energy flux;radar reflectivity;heat source term;thermal-kinetic energy coupling;Multiphysics modeling
期刊名称: INTERNATIONAL JOURNAL OF HEAT AND TECHNOLOGY
ISSN: 0392-8764
年卷期: 2025 年 43 卷 3 期
页码:
收录情况: EI(2025版) ; ; ESCI(2025版)
摘要: This study focuses on the thermal-fluid-dynamic behavior and kinetic energy flux characteristics of hollow-cone atomizing micro-sprinklers in intelligent irrigation systems, systematically evaluating spray responses and thermal-kinetic energy coupling modeling methods under various operating conditions. By adjusting the nozzle working pressure (0.2-0.6 MPa) and installation height (0.4-1.0 m), six typical spraying conditions are constructed. High-frequency measurements of key parameters such as rainfall intensity, droplet size distribution, and particle count are collected using a laser disdrometer, followed by time-series dynamic analysis of the spraying process. The results show significant responses of rainfall intensity, kinetic energy flux (E), and radar reflectivity (Z) to variations in spraying conditions. A Z-E power law model (R2 = 0.989) is further developed, demonstrating high fitting accuracy and low error characteristics in predicting kinetic energy flux, with an RMSE of 1.18 J/m2 center dot h and an average relative error of less than 10%. Based on the principle of energy conservation, this study converts the dissipated kinetic energy of droplets into equivalent heat flux and incorporates it into the heat conduction control equation to establish a spray heat source term model, enabling the quantitative characterization of thermal-kinetic energy responses during spraying. The findings confirm the effectiveness of radar reflectivity as an energy prediction factor and provide theoretical support and parameter foundations for modeling spray thermal-kinetic energy conversion mechanisms and optimizing the energy efficiency of intelligent irrigation systems.
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