Numerical Investigation on Optimized Convergent Divergent Nozzle in 3S Separator Device

In this work, the optimal parameters required to develop the shock at a specified location of a convergent-divergent nozzle in the 3S supersonic separator are obtained using a meta-heuristic algorithm in conjunction with the surrogate model. Here, the study is carried over the air. Initially, a non-conventional optimization scheme firefly algorithm is employed to obtain the optimal parameters of convergent-divergent nozzle such as area ratio and operating pressure ratio to develop the normal shock at a specific location of a nozzle in 3S device. The operating pressure ratio limit is imposed as a constraint in the problem. The mathematical modelling of a nozzle is based on the one-dimensional flow governing equations. To reduce the computational cost, mathematical modelling is replaced by a neural network-based surrogate model. Then, using the optimal parameters obtained from an optimization scheme, the nozzle is modelled and simulated in ANSYS Fluent to validate it by identifying the shock location in the divergent portion of nozzle.