Prediction and optimization of stability parameters for Titanium dioxide nanofluid using response surface methodology and artificial neural networks

Ali Sadollah, Azadeh Ghadimi, I.H. Metselaar, Ardeshir Bahreininejad

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استادیار

محل خدمت:دانشگاه علم و فرهنگ

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عضو هیئت علمی تمام وقت , معاون
مقطع تحصیلی: دکتری
سال تولد: ۱۳۶۳
رزومه

My affiliation

Dr. Ali Sadollah received his Ph.D. in the Faculty of Engineering, majoring in Mechanical Engineering at the University of Malaya, Kuala Lumpur, Malaysia, in 2013. He has been a postdoctoral research fellow at prestigious universities such as Korea University and Nanyang Technological University. Afterward, he was a guest assistant professor at the Sharif University of Technology, Tehran, Iran. He is an assistant professor at the University of Science and Culture, Tehran, Iran. A recent Stanford University study and ESI indicator show he is among the top 1 and 2 percent of the world’s researchers. He is the inventor of two metaheuristic optimization methods: the water cycle algorithm and the neural network algorithm. His research interests include algorithm development, optimization, metaheuristics, applications of soft computing methods in engineering, computational solid mechanics, finite element method, and cold roll forming process. Dr. Sadollah has published 3 books, contributed scientifically to over 100 scientific research, and was invited to participate in numerous international and national events.

Prediction and optimization of stability parameters for Titanium dioxide nanofluid using response surface methodology and artificial neural networks

نویسندگان	Ali Sadollah, Azadeh Ghadimi, I.H. Metselaar, Ardeshir Bahreininejad
نشریه	Science and Engineering of Composite Materials
نوع مقاله	Full Paper
تاریخ انتشار	۲۰۱۳
رتبه نشریه	ISI
نوع نشریه	چاپی
کشور محل چاپ	ایران

Prediction and optimization of stability parameters for Titanium dioxide nanofluid using response surface methodology and artificial neural networks

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