Numerical investigation of heat exchanger effectiveness in a double pipe heat exchanger filled with nanofluid: A sensitivity analysis by response surface methodology

By K. M. Shirvan, M. Mamourian, Soroush Mirzakhanlari, Rahmat Ellahi. 2017

219 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/0639afb249b99fee0ee27a5c74f16aa87e5d73a7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Mohammad Hossein Ahmadi

In Mechanical Engineering

1. Mohammad Hossein Ahmadi
2. M. Kahani
3. Milad Sadeghzadeh

Citations in the corpus

• 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 (2018, methodology): “[28] proposed two-phase mixture model and Response Surface Methodology (RSM) for sensitivity analysis of nanofluid heat transfer in a heat exchanger.”