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Numerical Heat Transfer, Part A: Applications
An International Journal of Computation and Methodology
Volume 70, 2016 - Issue 1
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Original Articles

Hydrodynamic and thermal performance prediction of functionalized MWNT-based water nanofluids under the laminar flow regime using the adaptive neuro-fuzzy inference system

Maryam SavariComputer Science Department, Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur, Malaysia
,
Sajjad RashidiDepartment of Chemical Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
,
Ahmad AmiriDepartment of Mechanical Engineering, University of Malaya, Kuala Lumpur, Malaysia
,
Mehdi ShanbediDepartment of Chemical Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
,
Saeed Zeinali HerisFaculty of chemical and Petroleum Engineering, University of Tabriz, Tabriz, IranCorrespondence[email protected]
&
S. N. KaziDepartment of Mechanical Engineering, University of Malaya, Kuala Lumpur, Malaysia
Pages 103-116 | Received 04 Aug 2015, Accepted 01 Dec 2015, Published online: 02 May 2016

Citations (9)

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Kartika Irene, Budi Kristiawan, Koji Enoki & Agung Tri Wijayanta. (2023) Impact of nanoparticles loading to a novel hybrid TiO2-CNTs/water nanofluid on thermal performance enhancement. Numerical Heat Transfer, Part A: Applications 0:0, pages 1-19.
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Suaib Al Mahmud, Mazbahur Rahman Khan, Wazed Ibne Noor, Ahmad Faris Ismail, Md. Abdul Momin & Jamirul Habib Bappy. (2023) Turbulent convective heat transfer enhancement modeling of water-Al2O3 nanofluid using CFD mixture model and adaptive neural fuzzy inference system. Numerical Heat Transfer, Part B: Fundamentals 83:3, pages 120-138.
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Articles from other publishers (7)

NS Naveen, PS Kishore, Satish Pujari, M. Daniel Silas Kumar & Krishna Jogi. (2022) Optimization through Taguchi and artificial neural networks on thermal performance of a radiator using graphene based coolant. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 236:8, pages 1680-1693.
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Ahmadreza Ghaffarkhah, Amin Bazzi, Zahra Azimi Dijvejin, Mohsen Talebkeikhah, Mostafa Keshavarz Moraveji & Farough Agin. (2019) Experimental and numerical analysis of rheological characterization of hybrid nano-lubricants containing COOH-Functionalized MWCNTs and oxide nanoparticles. International Communications in Heat and Mass Transfer 101, pages 103-115.
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Maryam Savari, Amin Hedayati Moghaddam, Ahmad Amiri, Mehdi Shanbedi & Mohamad Nizam Bin Ayub. (2017) Comprehensive heat transfer correlation for water/ethylene glycol-based graphene (nitrogen-doped graphene) nanofluids derived by artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS). Heat and Mass Transfer 53:10, pages 3073-3083.
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Chong Wang, Zhiping Qiu, Menghui Xu & Hechen Qiu. (2017) Novel fuzzy reliability analysis for heat transfer system based on interval ranking method. International Journal of Thermal Sciences 116, pages 234-241.
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Hamid Salimi-Yasar, Saeed Zeinali Heris, Mehdi Shanbedi, Ahmad Amiri & Ali Kameli. (2017) Experimental investigation of thermal properties of cutting fluid using soluble oil-based TiO2 nanofluid. Powder Technology 310, pages 213-220.
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Ahmad Amiri, Mehdi Shanbedi, A.R. Rafieerad, Mohammad Mehdi Rashidi, Tuan Zaharinie, Mohd Nashrul Mohd Zubir, S.N. Kazi & B.T. Chew. (2017) Functionalization and exfoliation of graphite into mono layer graphene for improved heat dissipation. Journal of the Taiwan Institute of Chemical Engineers 71, pages 480-493.
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Ahmad Amiri, Goodarz Ahmadi, Mehdi Shanbedi, Mohammadmahdi Etemadi, Mohd Nashrul Mohd Zubir, B. T. Chew & S. N. Kazi. (2016) Heat transfer enhancement of water-based highly crumpled few-layer graphene nanofluids. RSC Advances 6:107, pages 105508-105527.
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