Response surface methodology (RSM) and artificial neural network (ANN) simulations for thermal flow hybrid nanofluid flow with Darcy-Forchheimer effects期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

Response surface methodology (RSM) and artificial neural network (ANN) simulations for thermal flow hybrid nanofluid flow with Darcy-Forchheimer effects

Authors:	Muapper Alhadri Jawad Raza Ubaidullah Yashkun Liaquat Ali Lund Chemseddine Maatki Sami Ullah Khan Lioua Kolsi

Affiliation:	1. Mechanical Engineering Department, College of Engineering, University of Ha''il, Ha''il City, Saudi Arabia;2. Department of Mathematics, COMSATS University Islamabad, Vehari Campus, Pakistan;3. Sukkur IBA University Airport Road, Sukkur, 65200, Sindh, Pakistan;4. KCAET Khairpur Mirs, Sindh Agriculture University, Tandojam Sindh, 70060, Pakistan;5. Department of Mechanical Engineering, College of Engineering, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia;6. Department of Mathematics, COMSATS University Islamabad, Sahiwal, 57000, Pakistan

Abstract:

Keywords:	Hybrid nanofluid Darcy-Forchheimer flow Response surface methodology (RSM) Artificial neural network (ANN)
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