The multi-staged Tesla valve was optimized by minimizing the forward pressure drop (FPD) and maximizing the reverse pressure drop (RPD). First, CFD simulations were conducted. Second, surrogate-based optimization (SBO) was done. Finally, an explicit correlation between the objective functions and the variables was developed to estimate target functions directly. The results showed that decreasing valve-to-valve distance over the hydraulic diameter (G/Dh) maximizes Di and minimizes FPD. When an increase in RPD is desired, the Re should be increased, which leads to an increase in FPD. The maximized Di value is 1.811 for Dh=0.821, G/Dh=0.993, N=16, tan(α)=0.848, and Re=173.03. However, the minimum value of FPD and the maximum RPD were found as 194.72 Pa and 352.69 Pa, respectively.
