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Adaptive neuro-fuzzy inference system (ANFIS) to predict the forced convection heat transfer from a v-shaped plate

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Abstract

This paper reports the application of the adaptive neuro-fuzzy inference system to model the forced convection heat transfer from v-shaped plate internal surfaces exposed to an air impingement slot jet. The aim of the current study is to consider the effects of the angle of the v-shaped plate \( (\Upphi ) \), slot-to-plate spacing ratio (Z/W) and the Reynolds number (Re) variation on the average heat transfer from the v-shaped plate.

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Abbreviations

L :

Plates width (m)

W:

Nozzle width (m)

Z :

Distance between nozzle exit and v-shaped plate forward stagnation point (m)

h :

Local heat transfer coefficient (W/m2 K)

\( \overline{h} \) :

Average heat transfer coefficient (W/m2 K)

k :

Thermal conductivity (W/m K)

Nu x :

Local Nusselt number

\( \overline{Nu} \) :

Average Nusselt number

Ra :

Rayleigh number based on the plate width

Re :

Reynolds number based on the nozzle exit velocity and nozzle width

T :

Temperature (K)

\( \Upphi \) :

Angle between plates (°)

f :

Film condition

w :

Surface of the plates

∞:

Undisturbed air and ambient

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Authors and Affiliations

  1. Department of Mechanical Engineering, Kermanshah Branch, Islamic Azad University , Kermanshah, Iran

    Alimohammad Karami

  2. Department of Mechanical Engineering, Razi University, Kermanshah, Iran

    Tooraj Yousefi & Saeid Ebrahimi

  3. Department of Mechanical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran

    Ehsan Rezaei

  4. Mechanical Engineering Department, Islamic Azad University, Gachsaran Branch, Gachsaran, Iran

    Sajjad Mahmoudinezhad

Authors
  1. Alimohammad Karami
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  2. Tooraj Yousefi
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  3. Saeid Ebrahimi
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  4. Ehsan Rezaei
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  5. Sajjad Mahmoudinezhad
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Correspondence to Tooraj Yousefi.

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Karami, A., Yousefi, T., Ebrahimi, S. et al. Adaptive neuro-fuzzy inference system (ANFIS) to predict the forced convection heat transfer from a v-shaped plate. Heat Mass Transfer 49, 789–798 (2013). https://doi.org/10.1007/s00231-013-1125-z

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  • DOI: https://doi.org/10.1007/s00231-013-1125-z

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