Prediction and extensive analysis of MWCNT-MgO/oil SAE 50 hybrid nano-lubricant rheology utilizing machine learning and genetic algorithms to find ideal attributes
Mohammadreza BaghoolizadehDepartment of Mechanical Engineering, Shahrekord University, Shahrekord 88186-34141, the Islamic Republic of IranMostafa PirmoradianDepartment of Mechanical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr, the Islamic Republic of IranS. Mohammad SajadiDepartment of Nutrition, Cihan University-Erbil, Kurdistan Region, IraqSoheil SalahshourDepartment of Computer Science and Mathematics, Lebanese American University, Beirut, LebanonSh. BaghaeiDepartment of Mechanical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr, the Islamic Republic of Iran
2024en
ABI
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