|Authors||Mohammad Hemmat Esfe, Mohammad Hadi Hajmohammad, Peyman Razi, Mohammad Reza Hassani Ahangar, Ali Akbar Abbasian Arani|
|Journal||INT COMMUN HEAT MASS|
|Presented by||University of Kashan|
|Paper Type||Full Paper|
|Journal Country||United Kingdom|
In this research, the optimization of ND-Co3O4 aqueous nanoﬂuid is examined by using the modiﬁed non-dominated sorting genetic algorithm (NSGA-II) and also response surface method. The average size of nanodiamond is 4-5 nm with purity of 99%. For the optimization issue, design variables of temperature and solid volume fraction are employed with the purpose of reducing the viscosity and increasing the thermal conductivity of nanoﬂuids. To approximate the viscosity and thermal conductivity functions, the response surface method is implemented. At ﬁrst, the Design Expert software is applied for optimization. Then the modiﬁed NSGA-II is used to achieve optimal responses more accurately, and optimization outcomes of both methods are ﬁnally compared and presented. Optimal outcomes have ascertained that the most optimal state of viscosity and thermal conductivity functions happens at the maximum temperature.