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Machine Learning Analysis of Thermophysical and Thermohydraulic Properties in Ethylene Glycol and Glycerol Based Sio Nanofluids by Stéphanie Cavalcante is a document available to read on EtoBox.
What is Machine Learning Analysis of Thermophysical and Thermohydraulic Properties in Ethylene Glycol and Glycerol Based Sio Nanofluids about?
This study explores the thermophysical and thermohydraulic properties of ethylene glycol and glycerol-based SiO2 nanofluids, focusing on their heat transfer and friction factor characteristics under varying flow conditions. Experiments showed significant enhancements in heat transfer coefficients, with machine learning models effectively predicting performance outcomes. The findings aim to improve thermal management solutions in various industries, contributing to energy efficiency and sustainability effort
- Author
- Stéphanie Cavalcante
- Language
- EN