Optimization of thermophysical properties of nanofluids using a hybrid procedure based on machine learning, multi-objective optimization, and multi-criteria decision-making-Reference-Cited by-同舟云学术

Optimization of thermophysical properties of nanofluids using a hybrid procedure based on machine learning, multi-objective optimization, and multi-criteria decision-making

Published:2024-04 Issue: Volume:485 Page:150059
ISSN:1385-8947
Container-title:Chemical Engineering Journal
language:en
Short-container-title:Chemical Engineering Journal

Author:

Zhang Tao,Manafi Khajeh Pasha Anahita,Mohammad Sajadi S.,Jasim Dheyaa J.,Nasajpour-Esfahani Navid,Maleki Hamid,Salahshour Soheil,Baghaei Sh.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference99 articles.

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3. Experimental investigation of surface vibration effects on increasing the stability and heat transfer coeffcient of MWCNTs-water nanofluid in a flexible double pipe heat exchanger;Hosseinian;Exp. Therm Fluid Sci.,2018

4. Experimental and numerical study on heat transfer enhancement using ultrasonic vibration in a double-pipe heat exchanger;Setareh;Appl. Therm. Eng.,2019

5. Heat transfer enhancement of a microchannel heat sink with the combination of impinging jets, dimples, and side outlets;Gan;J. Therm. Anal. Calorim.,2020

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