Applying artificial neural network and response surface method to forecast the rheological behavior of hybrid nano-antifreeze containing graphene oxide and copper oxide nanomaterials

HIGHLIGHTS

• who: Ammar A. Melaibari et al. from the Mechanical Engineering Department, Faculty of Engineering, King Abdulaziz University, Center of Nanotechnology, King Abdulaziz University, Jeddah, Saudi Arabia have published the research work: Applying Artificial Neural Network and Response Surface Method to Forecast the Rheological Behavior of Hybrid Nano-Antifreeze Containing Graphene Oxide and Copper Oxide Nanomaterials, in the Journal: Sustainability 2021, 13, 11505. of /2021/
• what: In this study the efficacy of loading and nanopArticles into ethylene glycol-water on viscosity was assessed by two numerical techniques.

SUMMARY

Heat transfer, given its . . .

 



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