Instrumental system to estimate the turbuce ratio of the air flow in a rigid grid, based on its reduced dynamic order transfer functions matrix

Authors

  • Ana Marell Arteaga Martínez Engineering Center for Industrial Development (CIDESI), National Laboratory for Cooling Technology Research (LaNITeF), Av. Pie de la Cuesta 207, Desarrollo San Pablo, Querétaro, 76250 México. Universidad TecMilenio, Fudamental Science Department, Camino Real a Humilpan, Corregidora, Querétaro.
  • Eloy Edmundo Rodríguez Vázquez Engineering Center for Industrial Development (CIDESI), National Laboratory for Cooling Technology Research (LaNITeF), Av. Pie de la Cuesta 207, Desarrollo San Pablo, Querétaro, 76250 México. Universidad Anáhuac Querétaro, School of Engineering, Quantitative Methods and Fundamental Science, Circuito Universidades, El Marques, Querétaro.
  • Maria Elizabeth Rodríguez Ibarra Engineering Center for Industrial Development (CIDESI), National Laboratory for Cooling Technology Research (LaNITeF), Av. Pie de la Cuesta 207, Desarrollo San Pablo, Querétaro, 76250 México. Universidad TecMilenio, Fudamental Science Department, Camino Real a Humilpan, Corregidora, Querétaro.
  • Helen Janeth Zuñiga Osorio Universidad Anáhuac Querétaro, School of Engineering, Quantitative Methods and Fundamental Science, Circuito Universidades, El Marques, Querétaro.
  • Luis Álvaro Montoya Santiyanes Universidad TecMilenio, Fudamental Science Department, Camino Real a Humilpan, Corregidora, Querétaro. Universidad Politécnica de Querétaro, School of Engineering, Carretera a los Cues, El Marques, Querétaro.

DOI:

https://doi.org/10.37636/recit.v32106119

Keywords:

Vibrational modal model, Laminar and turbulent air flow, Reduce order transfer functions matrix.

Abstract

In words of the cooling technology experts, there is at least a 20-year gap between the nowadays vapor compression based technology for refrigeration, cooling and HVAC, and what we have defined as alternatives technologies. There is also a big amount of scientific effort to endow this vapor compression technology with more degrees of freedom to implement more accurate energy optimization algorithms. In this way, as a first step to get more robust control algorithms in heat interchangers of condenser and evaporators units, authors have developed some instrumentation systems to analyze the behavior of the air flowing through the rigid blades of this kind of devices. This previous effort has been before reported as a complete vibrational modal model for the concerned rigid grid, however; due to its 16 spatially degrees of freedom and its 16th dynamic order, its model re-solution on line while the heat interchanger unit is working is almost impossible with a normal computer. Therefore, to get an algorithm with less computational resource consumption and with the same accuracy than the complete modal model, authors have reported in this document, the implementation of a reduced dynamical order transfer function matrix model. Reduction that as well as it is described is based on the poles averaging and zeros selection, from the set experimental graphs of the frequency spectral magnitude from a set of impact tests (experimental modal testing) performed at LaNITeF-CIDESI. Numerical prediction of the transfer function matrix from the dynamic reduced order model have been validated with the experimental spectral. Based on the hypothesis, that due to the incident angle, the resonance spectral vibration is excited by the laminar air flow, while the air flow turbulence does not excite the resonance vibrational spectral, the turbulence ration from the incident air flow has been analyzed from a wind tunnel test. As the main conclusion, authors have developed and validated a new instrumentation system to analyze the turbulence ratio of the air flow incident in a rigid grid, which can be part of a condenser or evaporator unit from a conventional cooling system, by implementing the concerned transfer functions matrix model with reduced dynamic order.

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Spectral response of the transfer function magnitude “G_((1,1),(1,3) )”.

Published

2020-06-30

How to Cite

Arteaga Martínez, A. M., Rodríguez Vázquez, E. E., Rodríguez Ibarra, M. E., Zuñiga Osorio, H. J., & Montoya Santiyanes, L. Álvaro. (2020). Instrumental system to estimate the turbuce ratio of the air flow in a rigid grid, based on its reduced dynamic order transfer functions matrix. REVISTA DE CIENCIAS TECNOLÓGICAS, 3(2), 106–119. https://doi.org/10.37636/recit.v32106119

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Research articles

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