Thermal conductivity variation on natural convection flow of water–alumina nanofluid in an annulus

By Salma Parvin, R. Nasrin, M. Alim, N. Hossain, Ali J. Chamkha. 2012

143 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computational Mechanics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/bcb967974e9ca1d218bec6ff8a129e91518ce7d7

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. Davood Toghraie
2. Masoud Afrand
3. Pouya Barnoon
4. Reza Balali Dehkordi
5. Zhixiong Li
6. Arash Karimipour
7. Omid Ali Akbari
8. Mohammad Kazem Akbari

In Computational Mechanics

1. Masoud Afrand
2. Davood Toghraie
3. Reza Balali Dehkordi
4. Zhixiong Li
5. Pouya Barnoon
6. Arash Karimipour

In Mechanical Engineering

1. Davood Toghraie
2. Masoud Afrand
3. Pouya Barnoon
4. Reza Balali Dehkordi
5. Zhixiong Li
6. Arash Karimipour
7. Omid Ali Akbari
8. Mohammad Kazem Akbari

Citations in the corpus

• Mixed convection of non-Newtonian nanofluid in an H-shaped cavity with cooler and heater cylinders filled by a porous material: Two phase approach (2019, background): “[57] S Parvin, R Nasrin, MA Alim, NF Hossain, AJ Chamkha, Thermal conductivity variation on natural convection flow of water–alumina nanofluid in an annulus, Int.”
• A proposed model to predict thermal conductivity ratio of Al2O3/EG nanofluid by applying least squares support vector machine (LSSVM) and genetic algorithm as a connectionist approach (2018, unknown): “mainly enhanced by using nanofluids [1, 2].”