Characterization and machine learning analysis of hybrid alumina-copper oxide nanoparticles in therminol 55 for medium temperature heat transfer fluid

Characterization and machine learning analysis of hybrid alumina-copper oxide nanoparticles in therminol 55 for medium temperature heat transfer fluid

Efficient heat dissipation is crucial for various industrial and technological applications, ensuring system reliability and performance. Advanced thermal management systems rely on materials with superior thermal conductivity and stability for effective heat transfer. This study investigates the th...

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Bibliographic Details
Main Authors: Kadirgama, Ganesaan, Ramasamy, Devarajan, Kadirgama, Kumaran, Samylingam, Lingenthiran, Aslfattahi, Navid, Qazani, Mohammad Reza Chalak, Kok, Chee Kuang, Yusaf, Talal F., Schmirler, Michal
Format: Article
Language:English
Published: Nature Publishing Group 2025
Subjects:
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TP Chemical technology
Online Access:http://umpir.ump.edu.my/id/eprint/45079/
http://umpir.ump.edu.my/id/eprint/45079/1/Characterization%20and%20machine%20learning%20analysis%20of%20hybrid%20alumina-copper%20oxide.pdf

Internet

http://umpir.ump.edu.my/id/eprint/45079/
http://umpir.ump.edu.my/id/eprint/45079/1/Characterization%20and%20machine%20learning%20analysis%20of%20hybrid%20alumina-copper%20oxide.pdf

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