数字农科院2.0

Assessment of RANS Models for Milli-Channel Turbulent Flow in Drip Irrigation Emitter

文献类型: 外文期刊

作者: Qi Feng;Qingzheng Li;Yaojun Li;Xuefeng Qiu;Jiandong Wang;Xingfa Huang

作者机构:

关键词: computational fluid dynamics;drip irrigation;emitter;near-wall treatment;RANS model

期刊名称: Agronomy

ISSN: 2073-4395

年卷期: 2025 年 15 卷 1 期

页码:

收录情况: SCIE(2025版)

摘要: Accurate numerical simulation of turbulent flow within the milli-channels of drip irrigation emitters has long been a significant challenge. This paper presents a comprehensive Reynolds-Averaged Navier–Stokes (RANS) modeling-based analysis of the flow dynamics within the labyrinth milli-channel of a tooth-shaped emitter, with partial experimental validation. The objective was to assess the performances of four RANS turbulence models: RNG k-ε (RNG), Realizable k-ε (RKE), SST k-ω (SST), and baseline k-ω (BSL), alongside three near-wall treatments: scalable wall function (SWF), enhanced wall treatment (EWT), and y+-insensitive wall treatment (YIWT) for emitter flow analysis. The results showed that the RNG and RKE, coupled with EWT, are preferred options for predicting the flow rate—pressure loss relationship of the emitter, with relative errors of 2.08% and 1.02% in the discharge exponent and 5.66% and 7.58% in the flow rate coefficient, respectively. Although both RNG and RKE using SWF are viable for hydraulic performance prediction under high-flow rate conditions, the deviation of predicted flow rate reaches up to 25.46% under low-flow rate conditions. The SST and BSL models, which employ IYPT, captured induced vortices at channel corners; however, they underestimated emitter flow rates. Furthermore, computations using SWF failed to capture the asymptotic characteristics of flow parameters in the near-wall region, resulting in an overestimation of turbulent kinetic energy and turbulence intensity. Additionally, the magnitude of wall shear stress in the channel corners fell below the threshold required for self-cleaning, underscoring the necessity for optimizing channel structures to enhance the anti-clogging performance of the emitter.

分类号:

  • 相关文献

[1]Vertical optimisation of tooth shape to improve the anti-clogging performance of emitters in drip irrigation systems. Xuefeng Qiu,Guangfeng Chen,Haitao Wang,Chuanjuan Wang,Jiandong Wang. 2023

[2]Research and Application on the Movable Subsurface Drip Irrigation System. Feng Junjie,Huang Xiuqiao,Zhai Guoliang,Deng Zhong,Di Guanghui,Liu Yang. 2012

[3]Elimination of Clogging of a Biogas Slurry Drip Irrigation System Using the Optimal Acid and Chlorine Addition Mode. Xuefeng Qiu,Jiandong Wang,Haitao Wang,Chuanjuan Wang,Yuechao Sun,Guangyong Li. 2022

[4]Improving simulation accuracy of a drip irrigation tooth emitter: Simulation and verification of tooth tip fillet. Xuefeng Qiu,Haitao Wang,Qiankun Leng,Suojun Xu,Jiandong Wang,Hongyi Yang,Xurong Mei. 2025

[5]Identifying sensitive areas to wind erosion in the Xilingele grassland by computational fluid dynamics modelling. Zhang, Zhuodong,Reiche, Matthias,Funk, Roger,Hoffmann, Carsten,Sommer, Michael,Wieland, Ralf,Li, Yong,Sommer, Michael.

[6]Wind modelling for wind erosion research by open source computational fluid dynamics. Zhang, Zhuodong,Reiche, Matthias,Funk, Roger,Hoffmann, Carsten,Sommer, Michael,Wieland, Ralf,Li, Yong,Sommer, Michael.

[7]Simulation of the urban space thermal environment based on computational fluid dynamics: A comprehensive review. Hongyuan Huo,Fei Chen,Xiaowei Geng,Jing Tao,Zhansheng Liu,Wenzhi Zhang,Pei Leng. 2021

[8]Analysis of dust diffusion from a self-propelled peanut combine using computational fluid dynamics. Hongbo Xu,Peng Zhang,Zhichao Hu,Enrong Mao,Jianchun Yan,Hongguang Yang. 2022

[9]Numerical Simulation and Experiment of Dust Suppression Device of Peanut Whole-Feed Combine Using Computational Fluid Dynamics. Hongbo Xu,Peng Zhang,Fengwei Gu,Zhichao Hu,Hongguang Yang,Enrong Mao,Yuefeng Du. 2023

[10]Comparison Of Shuttleworth-Wallace Model And D.ual Crop Coefficient Method F or Estimating Evapotranspiration Of Tomato Cultivated In A Solar Greenhouse. Gao, Yang,Liu, Hao,Zhang, Hao,Gong, Xuewen,Sun, Jingsheng,Zhang, Hao,Gong, Xuewen. 2019

[11]Drip Irrigation Scheduling for Tomato Grown in Solar Greenhouse Based on Pan Evaporation in North China Plain. Liu Hao,Duan Ai-wang,Sun Jing-sheng,Wang Yan-cong,Sun Chi-tao,Li Fu-sheng. 2013

[12]Modeling of waterflow and nitrate transport under surface drip fertigation. Li, J,Zhang, J,Rao, M. 2005

[13]Wetting patterns and nitrogen distributions as affected by fertigation strategies from a surface point source. Li, JS,Zhang, JJ,Rao, MJ. 2004

[14]Simulation of water and nitrogen dynamics as affected by drip fertigation strategies. Zhang Jian-jun,Zhao Bing-qiang,Li Yan-ting,Li Jiu-sheng. 2015

[15]Evapotranspiration And Crop Coefficient Of Tomato Grown In A Solar Greenhouse Under Full And Deficit Irrigation. Li, Yanbin,Sun, Jingsheng,Wang, Shunsheng,Qiu, Rangjian,Gong, Xuewen,Ge, Jiankun. 2020

[16]Effect of new irrigation technology on the physiology and water use efficiency of potato by Reclaimed Water Irrigation. Qi, Xuebin,Huang, Zongdong,Qiao, Dongmei,Li, Ping,Zhao, Zhijuan,Fan, Tao,Wu, Haiqing,Fan, Xiangyang,Hu, Chao,Zhu, Donghai,Wang, Xin. 2013

[17]Deficit irrigation based on drought tolerance and root signalling in potatoes and tomatoes. Jensen, Christian R.,Liu, Fulai,Jacobsen, Sven-Erik,Plauborg, Finn,Andersen, Mathias N.,Psarras, Georgios,Chartzoulakis, Kostas,Janowiak, Franciszek,Stikic, Radmila,Jovanovic, Zorica,Li, Guitong,Qi, Xuebin. 2010

[18]Developing a tactical irrigation and nitrogen fertilizer management strategy for winter wheat through drip irrigation. Muhammad Zain,Zhuanyun Si,Haijiao Ma,Minghan Cheng,Adam Khan,Faisal Mehmood,Aiwang Duan,Chengming Sun. 2023

[19]Association of maize (Zea mays L.) senescence with water and nitrogen utilization under different drip irrigation systems. Wu, Yang,Yao, Fanyun,Wang, Yongjun,Ma, Lin,Li, Xiangnan. 2023

[20]Drip Fertigation with Relatively Low Water and N Input Achieved Higher Grain Yield of Maize by Improving Pre-and Post-Silking Dry Matter Accumulation. Dong Guo,Chuanyong Chen,Baoyuan Zhou,Di Ma,William D. Batchelor,Xiao Han,Zaisong Ding,Mei Du,Ming Zhao,Ming Li,Wei Ma. 2022

作者其他论文 更多>>