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. Attached Files Name Description MIMEType Size Downloads 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.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 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Engineering Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 02 Jul 2020, 10:03:01 EST Fri, 03 Jul 2020, 05:01:10 EST Fri, 03 Jul 2020, 06:04:11 EST Sat, 29 Aug 2020, 02:39:24 EST Fri, 25 Sep 2020, 08:03:54 EST Fri, 25 Sep 2020, 08:07:59 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 39 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Thu, 02 Jul 2020, 10:03:01 EST

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