Development of multilayer perceptron artificial neural network (MLP-ANN) and least square support vector machine (LSSVM) models to predict Nusselt number and pressure drop of TiO2/water nanofluid flows through non-straight pathways-Reference-Cited by-同舟云学术

Development of multilayer perceptron artificial neural network (MLP-ANN) and least square support vector machine (LSSVM) models to predict Nusselt number and pressure drop of TiO2/water nanofluid flows through non-straight pathways

Published:2018-08-18 Issue:4 Volume:74 Page:1190-1206
ISSN:1040-7782
Container-title:Numerical Heat Transfer, Part A: Applications
language:en
Short-container-title:Numerical Heat Transfer, Part A: Applications

Author:

Kahani Mostafa¹,Ahmadi Mohammad Hossein²,Tatar Afshin³,Sadeghzadeh Milad⁴

Affiliation:

1. Faculty of Chemical and Materials Engineering, Shahrood University of Technology, Shahrood, Iran;

2. Faculty of Mechanical Engineering, Shahrood University of Technology, Shahrood, Iran;

3. Young Researchers and Elite Club, Islamic Azad University, North Tehran Branch, Tehran, Iran;

4. Department of Renewable Energy and Environmental Engineering, University of Tehran, Tehran, Iran

Publisher

Informa UK Limited

Subject

Condensed Matter Physics,Numerical Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/10407782.2018.1523597

Reference64 articles.

1. Heat Transfer and Fluid Flow Characteristics in Helically Coiled Tube Heat Exchanger (HCTHE) Using Nanofluids: A Review

2. A Review on the Potential Applications of Curved Geometries in Process Industry

3. Multiwalled Carbon Nanotube/Water Nanofluid or Helical Coiling Technique, Which of Them Is More Effective?

4. On the frictional resistances to the flow of air through a pipe

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