Prediction of thermal conductivity of ethylene glycol-water solutions by using artificial neural networks
By H. Kurt, M. Kayfeci. 2009
150 citations recorded by the source corpus.
Subfields: Mechanical Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/c274e2a4507bfcd7866fc4b26d8f4845fad173e8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Mechanical Engineering
- Masoud Afrand
- Davood Toghraie
- Arash Karimipour
- M. Hemmat Esfe
- Mohammad Reza Safaei
- Mohammad Kazem Akbari
- Somchai Wongwises
- Mahidzal Bin Dahari
In Renewable Energy, Sustainability and the Environment
- Masoud Afrand
- Davood Toghraie
- Arash Karimipour
- M. Hemmat Esfe
- Somchai Wongwises
- Mohammad Kazem Akbari
- Wei‐Mon Yan
- Omid Mahian
Citations in the corpus
- Thermal conductivity of Cu/TiO2–water/EG hybrid nanofluid: Experimental data and modeling using artificial neural network and correlation☆ (2015, background): “Kurt and Kayfeci [10] developed an ANN to predict the thermal conductivity ratio of water/EG based on emmat Esfe), 4 experimental data.”
- Evaluation of thermal conductivity of COOH-functionalized MWCNTs/water via temperature and solid volume fraction by using experimental data and ANN methods (2015, background): “This algorithm commonly used for modeling [19].”
- Techniques for measuring the thermal conductivity of nanofluids: A review (2010, methodology): “The most common techniques for the measurement of effective thermal conductivity of nanofluids are the transient hot-wire method [3], steady-state method [4], cylindrical cell method [5], temperature oscillation method [6], and 3-omega method [7] to name a few.”
- Thermal conductivity modeling of MgO/EG nanofluids using experimental data and artificial neural network (2014, methodology): “Different methods such as transient hot wire [21], steady-state parallel plate [22], cylindrical cell [23], temperature oscillation [24] and 2x [25] have been applied to measure the thermal conductivity.”
- Experimental study on thermal conductivity of ethylene glycol based nanofluids containing Al 2 O 3 nanoparticles (2015, methodology): “Different methods are used to measure the thermal conductivity of nanofluid such as transient hot wire [28], steady-state parallel plate [29], cylindrical cell [30], temperature oscillation [31], and 3w method [32].”