Potential application of Response Surface Methodology (RSM) for the prediction and optimization of thermal conductivity of aqueous CuO (II) nanofluid: A statistical approach and experimental validation

Peng, Yeping, Khaled, Usama, Al-Rashed, Abdullah A.A. A., Meer, Rashid, Goodarzi, Marjan and Sarafraz, M. M. 2020, Potential application of Response Surface Methodology (RSM) for the prediction and optimization of thermal conductivity of aqueous CuO (II) nanofluid: A statistical approach and experimental validation, Physica A: Statistical Mechanics and its Applications, vol. 554, doi: 10.1016/j.physa.2020.124353.

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Title Potential application of Response Surface Methodology (RSM) for the prediction and optimization of thermal conductivity of aqueous CuO (II) nanofluid: A statistical approach and experimental validation
Author(s) Peng, Yeping
Khaled, Usama
Al-Rashed, Abdullah A.A. A.
Meer, Rashid
Goodarzi, Marjan
Sarafraz, M. M.ORCID iD for Sarafraz, M. M. orcid.org/0000-0002-6347-0216
Journal name Physica A: Statistical Mechanics and its Applications
Volume number 554
Article ID 124353
Total pages 9
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2020-09-15
ISSN 0378-4371
Keyword(s) Science & Technology
Physical Sciences
Physics, Multidisciplinary
Physics
Nanofluid
Optimization
Statistical analysis
Response Surface Methodology
Thermal conductivity
ARTIFICIAL NEURAL-NETWORK
HEAT-TRANSFER
DYNAMIC VISCOSITY
NANO-ANTIFREEZE
TEMPERATURE
ENHANCEMENT
DESIGN
MODEL
Language eng
DOI 10.1016/j.physa.2020.124353
Indigenous content off
Field of Research 0102 Applied Mathematics
0105 Mathematical Physics
0206 Quantum Physics
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2020, Elsevier B.V.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30139493

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