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8. Una revisión de las metodologías para estimar el coeficiente de pérdidas en curvas de tuberías bajo flujo turbulento.

Author

Villegas-León, José Juan, López-Lambraño, Alvaro Alberto, Fuentes, Carlos, Aranda-Pérez, Darío, and López-Ramos, Alvaro Alberto

Subjects
REYNOLDS number, TURBULENT flow, TURBULENCE, PIPE flow, ENERGY dissipation
Abstract

Copyright of Tecnología y Ciencias del Agua is the property of Instituto Mexicano de Tecnologia del Agua (IMTA) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2021
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10. Expresiones analíticas del coeficiente de pérdidas de energía en dispositivos de reducción del diámetro bajo régimen forzado

Author

Concejo Nacional de Ciencia y Tecnología de México (CONACYT), Villegas-León, José Juan; Facultad de Ingeniería, Universidad Autónoma de Baja California (UABC), Blvd. Benito Juárez, S/N, Mexicali, B.C., México, C.P. 21280, López-Lambraño, Alvaro Alberto; Facultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California (UABC). Carretera Transpeninsular Tijuana-Ensenada número 3917, Colonia Playitas, Ensenada, B.C., México, C.P. 22860. Hidrus S.A de C.V., www.hidrusmx.com., Morales-Nava, José Gustavo; Facultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California (UABC). Carretera Transpeninsular Tijuana-Ensenada número 3917, Colonia Playitas, Ensenada, B.C., México, C.P. 22860., Pliego-Díaz, Máximo; Instituto Tecnológico de Querétaro. Ciencias Básicas. Av. Tecnológico S/N Centro 76000 Santiago de Querétaro, Qro., Fuentes, Carlos; Instituto Mexicano de Tecnología del Agua. Paseo Cuauhnahuac 8532, Progreso, 62550 Jiutepec, Morelos, México, López-Ramos, Alvaro Alberto; Escuela de Ingenierías y Arquitectura, Facultad de Ingeniería Civil, Universidad Pontificia Bolivariana-Seccional Montería, Km. 8 vía a Cereté, Montería, Córdoba, Colombia, Concejo Nacional de Ciencia y Tecnología de México (CONACYT), Villegas-León, José Juan; Facultad de Ingeniería, Universidad Autónoma de Baja California (UABC), Blvd. Benito Juárez, S/N, Mexicali, B.C., México, C.P. 21280, López-Lambraño, Alvaro Alberto; Facultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California (UABC). Carretera Transpeninsular Tijuana-Ensenada número 3917, Colonia Playitas, Ensenada, B.C., México, C.P. 22860. Hidrus S.A de C.V., www.hidrusmx.com., Morales-Nava, José Gustavo; Facultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California (UABC). Carretera Transpeninsular Tijuana-Ensenada número 3917, Colonia Playitas, Ensenada, B.C., México, C.P. 22860., Pliego-Díaz, Máximo; Instituto Tecnológico de Querétaro. Ciencias Básicas. Av. Tecnológico S/N Centro 76000 Santiago de Querétaro, Qro., Fuentes, Carlos; Instituto Mexicano de Tecnología del Agua. Paseo Cuauhnahuac 8532, Progreso, 62550 Jiutepec, Morelos, México, and López-Ramos, Alvaro Alberto; Escuela de Ingenierías y Arquitectura, Facultad de Ingeniería Civil, Universidad Pontificia Bolivariana-Seccional Montería, Km. 8 vía a Cereté, Montería, Córdoba, Colombia

Abstract

En este artículo se obtienen expresiones analíticas del coeficiente de pérdidas de energía para dispositivos de reducción brusca y reducción gradual del diámetro, que operan en conductos bajo régimen forzado. Se observó que los métodos tradicionales para evaluar las pérdidas por dispositivos, requieren el empleo de fórmulas, tablas y gráficos al estimar el coeficiente de pérdida K. Se obtuvieron curvas de valores promedio para K y se ajustaron con métodos de regresiones lineales múltiples hasta obtener una ecuación representativa para cada caso estudiado. Se concluyó que las ecuaciones pueden ser utilizadas confiablemente para determinar el coeficiente de pérdida K sin necesidad de manipular tablas y gráficos., Analytical expressions of the energy loss coefficient for abrupt and gradual diameter reduction devices, operating in ducts on forced regime are obtained. For this approach, a state of the art was carried out where it was identified that the traditionally utilized methods (that assess the loss of the devices) needed formulas, tables and/or graphs when estimating the K coefficient. These results were used asdata in multiple linear regression methods until a representative equation for each case study was obtained. These equations constitue a reliable tool to determine the loss of the K coefficient without having to manipulate tables and graphs.

Published
2015

11. Santa Ana Winds: Fractal-Based Analysis in a Semi-Arid Zone of Northern Mexico.

Author

Serpa-Usta, Yeraldin, López-Lambraño, Alvaro Alberto, Flores, Dora-Luz, Gámez-Balmaceda, Ena, Martínez-Acosta, Luisa, Medrano-Barboza, Juan Pablo, López, John Freddy Remolina, López-Ramos, Alvaro, and López-Lambraño, Mariangela

Subjects
*ARID regions, *TIME series analysis, *METEOROLOGICAL stations, *FRACTAL dimensions, *WIND speed, *DROUGHTS
Abstract

A fractal analysis based on the time series of precipitation, temperature, pressure, relative humidity, and wind speed was performed for 16 weather stations located in the hydrographic basin of the Guadalupe River in Baja California, Mexico. Days on which the phenomenon known as Santa Ana winds occurs were identified based on the corresponding criteria of wind speed (≥4.5 m/s) and wind direction (between 0° and 90°). Subsequently, the time series was formed with data representing the days on which this phenomenon occurs in each of the analyzed weather stations. A time series was additionally formed from the days in which the Santa Ana winds condition does not occur. Hurst exponents and fractal dimension were estimated applying the rescaled range method to characterize the established time series in terms of characteristics of persistence, anti-persistence, or randomness along with the calculation of the climate predictability Index. This enabled the behavior and correlation analysis of the meteorological variables associated with Santa Ana winds occurrence. Finally, this type of research study is instrumental in understanding the regional dynamics of the climate in the basin, and allows us to establish a basis for developing models that can forecast the days of occurrence of the Santa Ana winds, in such a way that actions or measures can be taken to mitigate the negative consequences generated when said phenomenon occurs, such as fires and droughts. [ABSTRACT FROM AUTHOR]

Published
2022
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