Turbulent heat transfer in spacer-filled channels: Experimental and computational study and selection of turbulence models

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Abstract

Heat transfer in spacer-filled channels of the kind used in Membrane Distillation was studied in the Reynolds number range 100–2000, encompassing both steady laminar and early-turbulent flow conditions. Experimental data, including distributions of the local heat transfer coefficient h, were obtained by Liquid Crystal Thermography and Digital Image Processing. Alternative turbulence models, both of first order (k-ε, RNG k-ε, k-ω, BSL k-ω, SST k-ω) and of second order (LRR RS, SSG RS, ω RS, BSL RS), were tested for their ability to predict measured distributions and mean values of h. The best agreement with the experimental results was provided by first-order ω-based models able to resolve the viscous/conductive sublayer, while all other models, and particularly ε-based models using wall functions, yielded disappointing predictions.
Lingua originaleEnglish
pagine (da-a)106040-
Numero di pagine15
RivistaInternational Journal of Thermal Sciences
Volume145
Stato di pubblicazionePublished - 2019

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turbulent heat transfer
turbulence models
Turbulence models
spacers
Heat transfer
Wall function
distillation
heat transfer coefficients
Distillation
turbulent flow
Heat transfer coefficients
Turbulent flow
image processing
Reynolds number
Image processing
heat transfer
liquid crystals
membranes
Membranes
predictions

All Science Journal Classification (ASJC) codes

  • Condensed Matter Physics
  • Engineering(all)

Cita questo

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title = "Turbulent heat transfer in spacer-filled channels: Experimental and computational study and selection of turbulence models",
abstract = "Heat transfer in spacer-filled channels of the kind used in Membrane Distillation was studied in the Reynolds number range 100–2000, encompassing both steady laminar and early-turbulent flow conditions. Experimental data, including distributions of the local heat transfer coefficient h, were obtained by Liquid Crystal Thermography and Digital Image Processing. Alternative turbulence models, both of first order (k-ε, RNG k-ε, k-ω, BSL k-ω, SST k-ω) and of second order (LRR RS, SSG RS, ω RS, BSL RS), were tested for their ability to predict measured distributions and mean values of h. The best agreement with the experimental results was provided by first-order ω-based models able to resolve the viscous/conductive sublayer, while all other models, and particularly ε-based models using wall functions, yielded disappointing predictions.",
author = "Alessandro Tamburini and {La Cerva}, {Mariagiorgia Floriana} and {Di Liberto}, Massimiliano and Michele Ciofalo",
year = "2019",
language = "English",
volume = "145",
pages = "106040--",
journal = "International Journal of Thermal Sciences",
issn = "1290-0729",
publisher = "Elsevier Masson SAS",

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TY - JOUR

T1 - Turbulent heat transfer in spacer-filled channels: Experimental and computational study and selection of turbulence models

AU - Tamburini, Alessandro

AU - La Cerva, Mariagiorgia Floriana

AU - Di Liberto, Massimiliano

AU - Ciofalo, Michele

PY - 2019

Y1 - 2019

N2 - Heat transfer in spacer-filled channels of the kind used in Membrane Distillation was studied in the Reynolds number range 100–2000, encompassing both steady laminar and early-turbulent flow conditions. Experimental data, including distributions of the local heat transfer coefficient h, were obtained by Liquid Crystal Thermography and Digital Image Processing. Alternative turbulence models, both of first order (k-ε, RNG k-ε, k-ω, BSL k-ω, SST k-ω) and of second order (LRR RS, SSG RS, ω RS, BSL RS), were tested for their ability to predict measured distributions and mean values of h. The best agreement with the experimental results was provided by first-order ω-based models able to resolve the viscous/conductive sublayer, while all other models, and particularly ε-based models using wall functions, yielded disappointing predictions.

AB - Heat transfer in spacer-filled channels of the kind used in Membrane Distillation was studied in the Reynolds number range 100–2000, encompassing both steady laminar and early-turbulent flow conditions. Experimental data, including distributions of the local heat transfer coefficient h, were obtained by Liquid Crystal Thermography and Digital Image Processing. Alternative turbulence models, both of first order (k-ε, RNG k-ε, k-ω, BSL k-ω, SST k-ω) and of second order (LRR RS, SSG RS, ω RS, BSL RS), were tested for their ability to predict measured distributions and mean values of h. The best agreement with the experimental results was provided by first-order ω-based models able to resolve the viscous/conductive sublayer, while all other models, and particularly ε-based models using wall functions, yielded disappointing predictions.

UR - http://hdl.handle.net/10447/393450

UR - http://www.journals.elsevier.com/international-journal-of-thermal-sciences/

M3 - Article

VL - 145

SP - 106040-

JO - International Journal of Thermal Sciences

JF - International Journal of Thermal Sciences

SN - 1290-0729

ER -