Assessment of RANS Models for Milli-Channel Turbulent Flow in Drip Irrigation Emitter
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...
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2024-12-01
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author | Qi Feng Qingzheng Li Yaojun Li Xuefeng Qiu Jiandong Wang Xingfa Huang |
author_facet | Qi Feng Qingzheng Li Yaojun Li Xuefeng Qiu Jiandong Wang Xingfa Huang |
author_sort | Qi Feng |
collection | DOAJ |
description | 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 <i>k-ε</i> (RNG), Realizable <i>k-ε</i> (RKE), SST <i>k-ω</i> (SST), and baseline <i>k-ω</i> (BSL), alongside three near-wall treatments: scalable wall function (SWF), enhanced wall treatment (EWT), and <i>y</i><sup>+</sup>-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. |
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language | English |
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spelling | doaj-art-1b42f364ed2f4125928241fa4d2a18c82025-01-24T13:16:38ZengMDPI AGAgronomy2073-43952024-12-011518110.3390/agronomy15010081Assessment of RANS Models for Milli-Channel Turbulent Flow in Drip Irrigation EmitterQi Feng0Qingzheng Li1Yaojun Li2Xuefeng Qiu3Jiandong Wang4Xingfa Huang5State Key Laboratory of Efficient Utilization of Agricultural Water Resources, China Agricultural University, Beijing 100083, ChinaState Key Laboratory of Efficient Utilization of Agricultural Water Resources, China Agricultural University, Beijing 100083, ChinaState Key Laboratory of Efficient Utilization of Agricultural Water Resources, China Agricultural University, Beijing 100083, ChinaInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaState Key Laboratory of Efficient Utilization of Agricultural Water Resources, China Agricultural University, Beijing 100083, ChinaAccurate 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 <i>k-ε</i> (RNG), Realizable <i>k-ε</i> (RKE), SST <i>k-ω</i> (SST), and baseline <i>k-ω</i> (BSL), alongside three near-wall treatments: scalable wall function (SWF), enhanced wall treatment (EWT), and <i>y</i><sup>+</sup>-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.https://www.mdpi.com/2073-4395/15/1/81emitterdrip irrigationcomputational fluid dynamicsRANS modelnear-wall treatment |
spellingShingle | Qi Feng Qingzheng Li Yaojun Li Xuefeng Qiu Jiandong Wang Xingfa Huang Assessment of RANS Models for Milli-Channel Turbulent Flow in Drip Irrigation Emitter Agronomy emitter drip irrigation computational fluid dynamics RANS model near-wall treatment |
title | Assessment of RANS Models for Milli-Channel Turbulent Flow in Drip Irrigation Emitter |
title_full | Assessment of RANS Models for Milli-Channel Turbulent Flow in Drip Irrigation Emitter |
title_fullStr | Assessment of RANS Models for Milli-Channel Turbulent Flow in Drip Irrigation Emitter |
title_full_unstemmed | Assessment of RANS Models for Milli-Channel Turbulent Flow in Drip Irrigation Emitter |
title_short | Assessment of RANS Models for Milli-Channel Turbulent Flow in Drip Irrigation Emitter |
title_sort | assessment of rans models for milli channel turbulent flow in drip irrigation emitter |
topic | emitter drip irrigation computational fluid dynamics RANS model near-wall treatment |
url | https://www.mdpi.com/2073-4395/15/1/81 |
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