Geometría y pérdidas de carga en inyectores Venturi mediante la dinámica de fluidos computacional

[EN] To determine the influence of geometry on the hydrodynamic behavior of Venturi injectors, using computational fluid dynamics techniques, we studied, at the Universitat Politècnica de València, Valencia, Spain, the geometric parameters that exert the most influence on head losses: the relationship between throat diameter and nozzle (β), nozzle angle (α1) and diffuser angle (α2). In addition, three throat morphologies (B1: nozzle-throat and throat-diffuser with a sharp edge; B2: nozzle-diffuser with a zero-length, sharp-edge throat; B3: nozzle-throat and throat-diffuser with rounded edge). We analyzed their influence on the velocity distribution and differential pressure between inlet and throat (DP/γ), throat and outlet (Δhv/γ), and outlet and throat ((P3-P2)/γ). The development of the velocity profile from the throat is slower the greater β is and the lower α2 is. DP/γ decreases with β, increases with α1 and varies little with α2. Δhv/γ decreases with β and increases with α1 and α2. (P3-P2)/γ decreases with β and increases with α1 and α2. Geometry B3 decreases the losses and delays the onset of cavitation. Thus, the lower β and the higher α2, the greater the losses; however, the influence of α1 is less clear. The rounded edges produce lower head losses.[ES] Estudio de la influencia de la geometría en el comportamiento hidrodinámico de inyectores Venturi mediante técnicas de dinámica de fluidos computacional. Para determinar la influencia de la geometría en el comportamiento hidrodinámico de inyectores Venturi, mediante técnicas de dinámica de fluidos computacional, se estudió, en la Universitat Politècnica de València, Valencia, España, los parámetros geométricos que más influencian las pérdidas de carga: relación entre diámetro de la garganta y tobera (β), ángulo de la tobera (α1) y ángulo del difusor (α2). Además, tres morfologías de la garganta (B1: tobera-garganta y garganta-difusor en arista viva; B2: tobera-difusor con garganta de longitud nula y en arista viva; B3: tobera-garganta y garganta-difusor en arista redondeadas). Se ha analizado su influencia en la distribución de velocidad y en la presión diferencial entre entrada y garganta (DP/γ), garganta y salida (∆hv/γ), y salida y garganta ((P3-P2)/γ). El desarrollo del perfil de velocidades a partir de la garganta es más lento cuanto mayor es β y menor es α2. DP/γ disminuye con β, aumenta con α1 y es poco variable con α2. ∆hv/γ disminuye con β y aumenta con α1 y α2. (P3-P2)/γ disminuye con β y α1, yaumenta con y α2. La geometría B3 disminuye las pérdidas y retarda la aparición de la cavitación. Así, cuanto menor es β y cuanto mayor es α2, mayores son las pérdidas de carga, sin embargo, la influencia de α1 no es tan clara. Las aristas redondeadas producen menores perdidas de cargaThe authors would like to thank the “Conselleria d'Empresa, Universitat i Ciència” of Generalitat Valenciana – Spain.Manzano Juarez, J.; Palau, CV.; De Azevedo, BM.; Do Bomfim, GV.; Vasconcelos, DV. (2016). Geometry and head loss in Venturi injectors through Computational Fluid Dynamics. Engenharia Agrícola. 36(3):482-491. doi:10.1590/1809-4430-Eng.Agric.v36n3p482-491/2016S482491363Baylar, A., Aydin, M., Unsal, M., & Ozkan, F. (2009). Numerical Modeling of Venturi Flows for Determining Air Injection Rates Using Fluent V6.2. Mathematical and Computational Applications, 14(2), 97-108. doi:10.3390/mca14020097Chan, L., Chin, C., Soria, J., & Ooi, A. (2014). Large eddy simulation and Reynolds-averaged Navier-Stokes calculations of supersonic impinging jets at varying nozzle-to-wall distances and impinging angles. International Journal of Heat and Fluid Flow, 47, 31-41. doi:10.1016/j.ijheatfluidflow.2014.02.005Dantas Neto, J., Maciel, J. L., Alves, A. de S., Azevedo, C. A. V. de, Fernandes, P. D., & Lima, V. L. A. de. (2013). Teores de macronutrientes em folhas de goiabeira fertirrigada com nitrogênio. Revista Brasileira de Engenharia Agrícola e Ambiental, 17(9), 962-968. doi:10.1590/s1415-43662013000900008Rezende, R., Helbel Júnior, C., Souza, R. S. de, Antunes, F. M., & Frizzone, J. A. (2010). Crescimento inicial de duas cultivares de cafeeiro em diferentes regimes hídricos e dosagens de fertirrigação. Engenharia Agrícola, 30(3), 447-458. doi:10.1590/s0100-69162010000300009Sanderse, B., Pijl, S. P., & Koren, B. (2011). Review of computational fluid dynamics for wind turbine wake aerodynamics. Wind Energy, 14(7), 799-819. doi:10.1002/we.458Santos, L. D. C., Zocoler, J. L., Justi, A. L., Silva, A. O., & Correia, J. D. S. (2012). ESTUDO COMPARATIVO DA TAXA DE INJEÇÃO EM INJETOR DO TIPO VENTURI COM E SEM VÁLVULA DE RETENÇÃO. IRRIGA, 1(01), 145. doi:10.15809/irriga.2012v1n01p145Sun, Y., & Niu, W. (2012). Simulating the Effects of Structural Parameters on the Hydraulic Performances of Venturi Tube. Modelling and Simulation in Engineering, 2012, 1-7. doi:10.1155/2012/458368Uribe, R. A. M., Gava, G. J. de C., Saad, J. C. C., & Kölln, O. T. (2013). Ratoon sugarcane yield integrated drip-irrigation and nitrogen fertilization. Engenharia Agrícola, 33(6), 1124-1133. doi:10.1590/s0100-69162013000600005Vasata, D., Galante, G., Rizzi, R. L., & Zara, R. A. (2011). Solução computacional do problema da cavidade cúbica através das equações de Navier-Stokes tridimensionais. Revista Brasileira de Ensino de Física, 33(2), 1-10. doi:10.1590/s1806-11172011000200013Yeoh, G. H., Liu, C., Tu, J., & Timchenko, V. (2012). Computational Fluid Dynamics and Its Applications 2012. Modelling and Simulation in Engineering, 2012, 1-2. doi:10.1155/2012/61061

Design and prediction performance of Venturi injectors in drip irrigation

[EN] The design and prediction performance of four Venturi injector prototypes have been studied using Computational Fluid Dynamics (CFD) techniques. Results were compared with experimental tests carried out in the laboratory of the Universitat Politecnica de Valencia, Valencia, Spain. The analysed and selected geometries for each prototype were used to simulate the operation without nutrient injection (G1) and with nutrient injection (G2). In first case (G1), the results were presented in the form of pressure profile at the injector axe under different velocities and the pressure distribution in the whole geometry. Additionally, this paper analysed the evolution of pressures and head loss versus main water flow in the different prototypes. The relative error was estimated to compare CFD and experimental results. The second case (G2), the graphical representation for the relations between the nutrient aspiration flow and water main flow were obtained for numerical and experiment approaches. In conclusion, CFD techniques appear as a suitable tool for the analysis of the Venturi injector operation, but its validation with experimental data is recommended.[ES] En la Universitat Politècnica de València, Valencia, España, se ha estudiado el diseño y funcionamiento de cuatro prototipos del inyector Venturi con técnicas de Dinámica de Fluidos Computacional (CFD), comparándo las con ensayos en laboratorio. Para cada prototipo, las geometrías definidas y analizadas han permitido simular el funcionamiento sin (G1) y con inyección (G2) para quimigación. En el caso G1, se presentan los gráficos del perfil de presiones en el eje del inyector para diversas velocidades, así como la distribución del campo de presiones y de la evolución de las diferencias de presión y pérdidas de carga frente al caudal principal. Para comparar los resultados obtenidos con CFD frente al resultado experimental, se calculó el error relativo. En el caso G2, se obtuvo la representación gráfica del el caudal de inyección frente al caudal principal. Las técnicas CFD exigen un buen ajuste del modelo para dar un resultado aceptable. Son interesantes para comparar geometrías, analizar sus variantes, realizar prediseños y aproximar ordenes de magnitud, pero es recomendable su ensayo en laboratorio para validar los resultados.Manzano Juarez, J.; De Azevedo, BM.; Do Bomfim, GV.; Royuela, A.; Palau Estevan, CV.; Viana, TVDA. (2014). Diseño y predicción del funcionamiento de inyectores Venturi en riego localizado. Revista Brasileira de Engenharia Agrícola e Ambiental - Agriambi. 18(12):1209-1217. doi:10.1590/1807-1929/agriambi.v18n12p1209-1217S120912171812Baylar, A., Aydin, M., Unsal, M., & Ozkan, F. (2009). Numerical Modeling of Venturi Flows for Determining Air Injection Rates Using Fluent V6.2. Mathematical and Computational Applications, 14(2), 97-108. doi:10.3390/mca14020097CIPOLLA, E., Silva, F., FILHO, G., & BARROS, R. (2011). Avaliação da Distribuição de Velocidades em Uma Bomba Centrífuga Radial Utilizando Técnicas de CFD. Revista Brasileira de Recursos Hídricos, 16(3), 71-79. doi:10.21168/rbrh.v16n3.p71-79Davis, J. A., & Stewart, M. (2002). Predicting Globe Control Valve Performance—Part I: CFD Modeling. Journal of Fluids Engineering, 124(3), 772-777. doi:10.1115/1.1490108Coutier-Delgosha, O., Fortes-Patella, R., & Reboud, J. L. (2003). Evaluation of the Turbulence Model Influence on the Numerical Simulations of Unsteady Cavitation. Journal of Fluids Engineering, 125(1), 38-45. doi:10.1115/1.1524584Franklin, R. E., & Wallace, J. M. (1970). Absolute measurements of static-hole error using flush transducers. Journal of Fluid Mechanics, 42(1), 33-48. doi:10.1017/s0022112070001052Guo, B., Langrish, T. A. ., & Fletcher, D. F. (2002). CFD simulation of precession in sudden pipe expansion flows with low inlet swirl. Applied Mathematical Modelling, 26(1), 1-15. doi:10.1016/s0307-904x(01)00041-5Hatano, S., Kang, D., Kagawa, S., Nohmi, M., & Yokota, K. (2014). Study of Cavitation Instabilities in Double-Suction Centrifugal Pump. International Journal of Fluid Machinery and Systems, 7(3), 94-100. doi:10.5293/ijfms.2014.7.3.094Lindau, J. W., Kunz, R. F., Boger, D. A., Stinebring, D. R., & Gibeling, H. J. (2002). High Reynolds Number, Unsteady, Multiphase CFD Modeling of Cavitating Flows. Journal of Fluids Engineering, 124(3), 607-616. doi:10.1115/1.1487360Norton, T., Sun, D.-W., Grant, J., Fallon, R., & Dodd, V. (2007). Applications of computational fluid dynamics (CFD) in the modelling and design of ventilation systems in the agricultural industry: A review. Bioresource Technology, 98(12), 2386-2414. doi:10.1016/j.biortech.2006.11.025Palau-Salvador, G., Gonzalez Altozano, P., & Arviza-Valverde, J. (2007). Numerical modeling of cavitating flows for simple geometries using FLUENT V6.1. Spanish Journal of Agricultural Research, 5(4), 460. doi:10.5424/sjar/2007054-269Palau-Salvador, G., González-Altozano, P., & Arviza-Valverde, J. (2007). Three-Dimensional Modeling and Geometrical Influence on the Hydraulic Performance of a Control Valve. Journal of Fluids Engineering, 130(1). doi:10.1115/1.2813131Reader-Harris, M. ., Brunton, W. ., Gibson, J. ., Hodges, D., & Nicholson, I. . (2001). Discharge coefficients of Venturi tubes with standard and non-standard convergent angles. Flow Measurement and Instrumentation, 12(2), 135-145. doi:10.1016/s0955-5986(01)00007-3Singhal, A. K., Athavale, M. M., Li, H., & Jiang, Y. (2002). Mathematical Basis and Validation of the Full Cavitation Model. Journal of Fluids Engineering, 124(3), 617-624. doi:10.1115/1.1486223Sun, Y., & Niu, W. (2012). Simulating the Effects of Structural Parameters on the Hydraulic Performances of Venturi Tube. Modelling and Simulation in Engineering, 2012, 1-7. doi:10.1155/2012/458368Teruel, B. J. (2010). Controle automatizado de casas de vegetação: variáveis climáticas e fertigação. Revista Brasileira de Engenharia Agrícola e Ambiental, 14(3), 237-245. doi:10.1590/s1415-43662010000300001Vortmann, C., Schnerr, G. H., & Seelecke, S. (2003). Thermodynamic modeling and simulation of cavitating nozzle flow. International Journal of Heat and Fluid Flow, 24(5), 774-783. doi:10.1016/s0142-727x(03)00003-1Wei, Q., Shi, Y., Dong, W., Lu, G., & Huang, S. (2006). Study on hydraulic performance of drip emitters by computational fluid dynamics. Agricultural Water Management, 84(1-2), 130-136. doi:10.1016/j.agwat.2006.01.016Xing, T., & Frankel, S. H. (2002). Effect of Cavitation on Vortex Dynamics in a Submerged Laminar Jet. AIAA Journal, 40(11), 2266-2276. doi:10.2514/2.1563Yeoh, G. H., Liu, C., Tu, J., & Timchenko, V. (2012). Computational Fluid Dynamics and Its Applications 2012. Modelling and Simulation in Engineering, 2012, 1-2. doi:10.1155/2012/61061

Otimização de sistema de autoaspiração de ar tipo Venturi para tratamento de água ferruginosa Optimization of auto-aspiration aeration system type Venturi for the treatment of ferruginous water

Na confecção deste trabalho se utilizou a metodologia de superfície de resposta para otimizar o efeito do número de Reynolds, tempo de floculação e concentração de hipoclorito de sódio sobre a oxidação/floculação do ferro presente em águas subterrâneas em um sistema de aeração com autoaspiração de ar. O sistema se compunha de um vaso tipo Venturi, acoplado a um tubo de mistura para promover a oxigenação da água através da sucção do ar atmosférico. O mapeamento hidrodinâmico permitiu verificar as condições de operação no qual o sistema apresentou melhor eficiência de sucção de ar e menor consumo de energia, além de compará-las com as melhores condições a campo. Os resultados observados demonstraram que foi possível a remoção de 98,7% do ferro presente (residual ferro de 0,06 mg L-1) quando o sistema operou com número de Reynolds no estrangulamento do Venturi de 5,39 x 10(4), concentrações de hipoclorito de sódio de 38,4 mg L-1 e tempo de floculação 30 min. A metodologia de superfície de resposta foi satisfatória e permitiu otimizar as variáveis operacionais citadas.<br>In this study the response surface methodology was used to optimize the effect of Reynolds number, flocculation time and sodium hypochlorite concentration on the iron oxidation/flocculation present in groundwaters in an aeration system with air auto-aspiration. This system was composed of a recipient type Venturi coupled to a mixture tube to promote the oxygenation of the water through the suction of the atmospheric air. The hydrodynamic mapping allowed the verification of the operation conditions in which the system presented the best air suction efficiency and energy consumption, and the comparison of the best field conditions. The observed results demonstrated that it was possible to remove 98.7% of present iron (residual iron of 0.06 mg L-1) when the system operated with Reynolds number of 5.39 x 10(4), sodium hypochlorite concentrations of 38.4 mg L-1 and flocculation time of 30 min. The response surface methodology was satisfactory and allowed for the optimization of the mentioned operational variables

Loci Associated with Negative Heterosis for Viability and Meat Productivity in Interspecific Sheep Hybrids

Negative heterosis can occur on different economically important traits, but the exact biological mechanisms of this phenomenon are still unknown. The present study focuses on determining the genetic factors associated with negative heterosis in interspecific hybrids between domestic sheep (Ovis aries) and argali (Ovis ammon). One locus (rs417431015) associated with viability and two loci (rs413302370, rs402808951) associated with meat productivity were identified. One gene (ARAP2) was prioritized for viability and three for meat productivity (PDE2A, ARAP1, and PCDH15). The loci associated with meat productivity were demonstrated to fit the overdominant inheritance model and could potentially be involved int negative heterosis mechanisms