Modeling of mixed convection in an enclosure using multiple regression,artificial neural network,and adaptive neuro-fuzzy interface system models

Abstract

In this study, the heat transfer characteristics of laminar combined forced convection through a horizontal duct are obtained with the help of the numerical methods. The effect of the geometrical parameters of the cavity and Reynolds number on the heat transfer is investigated. New heat transfer correlation for hydrodynamically fully developed, laminar combined forced convection through a horizontal duct is proposed with an average error of 6.98% and R² of 0.8625. The obtained correlation results are compared with the artificial neural network and adaptive neuro-fuzzy interface system models. Due to the obtained results, good agreement is identified between the numerical results and predicted adaptive neuro-fuzzy interface system results. In conclusion, it is seen that adaptive neuro-fuzzy interface system can predict the Nusselt number distribution with a higher accuracy than the developed correlation and the artificial neural network model. The developed adaptive neuro-fuzzy interface system model predicts the Nusselt number with 1.07% mean average percentage error and 0.9983 R² value. The effect of the different training algorithms and their ability to predict Nusselt number distribution are examined. According to the results, the Bayesian regulation algorithm gives the best approach with a 2.235% error. According to the examination that is performed in this study, the adaptive neuro-fuzzy interface system is a powerful, robust tool that can be used with confidence for predicting the thermal performance.

Keywords

Artificial neural network adaptive neuro-fuzzy interface system correlation cavity heat transfer

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References

Buonomo B, Cresci G, Manca O, et al. Transient mixed convection in a channel with an open cavity filled with porous media. In: The sixth European thermal sciences conference, vol. 395, 2012. Bristol: IOP Publishing.

Timuralp

Altac

. Investigation of fluid flow and heat transfer in a channel with an open cavity heated from bottom surface. Mugla J Sci Technol 2016; 2: 55–59.

Aydin

Jang

. Mixed convection in cavities with a locally heated lower wall and moving sidewalls. Numer Heat Transfer Part A Appl 2000; 37: 695–710.

Ghasemi

Aminossadati

. Comparison of mixed convection in a square cavity with an oscillating versus a constant velocity wall. Numer Heat Transfer Part A Appl 2008; 54: 726–743.

Al-Amiri

Khanafer

Pop

. Effect of sinusoidal wavy bottom surface on mixed convection heat transfer in a lid driven cavity. Int J Heat Mass Transfer 2007; 50: 1771–1780.

Basak

Roy

Sharma

, et al. Analysis of mixed convection flows within a square cavity with uniform and non-uniform heating of bottom wall. Int J Thermal Sci 2009; 48: 891–912.

Ajmera

Mathur

. Combined free and forced convection in an enclosure with different ventilation arrangements. Procedia Eng 2015; 127: 1173–1180.

Leong

Brown

Lai

. Mixed convection from an open cavity in a horizontal channel. Int Commun Heat Mass Transfer 2005; 32: 583–592.

Brown

Lai

. Correlations for combined heat and mass transfer from an open cavity in a horizontal channel. Int Commun Heat Mass Transfer 2005; 32: 1000–1008.

10.

Timuralp

Altaç

. Investigation of combined heat transfer and laminar fluid flow in two and three dimensional ducts with an open cavity. J Thermal Sci Technol 2017; 37: 33–47.

11.

Tan

Ward

Wilcox

, et al. Artificial neural network modelling of the performance of a compact heat exchanger. Appl Thermal Eng 2009; 29: 3609–3617.

12.

Singh

Sinha

Singh

. Prediction of thermal conductivity of rock through physico-mechanical properties. Build Environ 2007; 2: 146–155.

13.

Babuska

. Fuzzy modelling for control, Norwell, MA: Kluwer Academic Publishers, 1998.

14.

Gupta

Kumar

Sahoo

, et al. Performance measurement of plate fin heat exchanger by exploration: ANN, ANFIS, GA and SA. J Comput Des Eng 2017; 4: 60–68.

15.

Hayati

Rezeai

Seifi

. Prediction of the heat transfer rate of a single layer wire-on-tube type heat exchanger using ANFIS. Int J Refrig 2009; 32: 1914–1917.

16.

Esen

Inalli

. ANN and ANFIS models for performance evaluation of a vertical ground source heat pump system. Expert Syst Appl 2010; 37: 8134–8147.

17.

Naphon

Arisariyawong

Wiriyasart

, et al. ANFIS for analysis friction factor and Nusselt number of pulsating nanofluids flow in the fluted tube under magnetic field. Case Stud Thermal Eng 2020; 18: 10065–10065.

18.

Zendehboudi

Song

. Performance investigation of the cross-flow closed-type heat-source tower using experiments and an adaptive neuro-fuzzy inference system model. Energy Build 2019; 183: 340–355.

19.

Beigzadeh

. The CFD providing data for adaptive neuro-fuzzy to model the heat transfer in flat and discontinuous fins. Iranian J Chem Eng 2019; 16: 57–63.

20.

Yılmaz

Kaynar

. Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils. Expert Syst Appl 2011; 38: 5958–5966.

21.

Singh

Kanchan

Verma

, et al. An intelligent approach for prediction of triaxial properties using unconfined uniaxial strength. Mining Eng J 2005; 5: 12–16.

22.

Alrashed

AAAA

Gharibdousti

Goodarzi

, et al. Effects on thermophysical properties of carbon based nanofluids: experimental data, modelling using regression, ANFIS and ANN. Int J Heat Mass Transfer 2018; 125: 920–932.

23.

Beale

Hagan

Demuth

. Neural network toolbox, user’s guide, Natick, MA: MathWorks Inc., 2018.

24.

Jang

Sun

. Neuro fuzzy modelling and control. Proc IEEE 1995; 83: 378–406.

25.

Esmaeili

Osanloo

Rashidinejad

, et al. Multiple regression, ANN and ANFIS models for prediction of backbreak in the open bit blasting. Eng Comput 2014; 30: 549–558.

26.

Matlab R2016a. MathWorks, https://www.mathworks.com/help/matlab/ (accessed 19 March 2020).

27.

Manca

Nardini

Vafai

. Experimental investigation of mixed convection in a channel with an open cavity. Exp Heat Transfer 2006; 19: 53–68.

28.

Timuralp

Altac

. Investigation of fluid flow and heat transfer in a channel with an open cavity heated from bottom surface. Mugla J Sci Technol 2016; 2: 55–59.