Fuzzy-based prediction for suddenly expanded axisymmetric nozzle flows with microjets

Abstract

. The current research focuses on the implementation of the fuzzy logic approach for the prediction of base pressure as a function of the input parameters. The relationship of base pressure ( β ) with input parameters, namely, Mach number (M), nozzle pressure ratio ( η ), area ratio ( α ), length to diameter ratio ( ξ ) , and jet control ( ϑ ) is analyzed. The precise fuzzy modeling approach based on Takagi and Sugeno’s fuzzy system has been used along with linear and non-linear type membership functions (MFs), to evaluate the effectiveness of the developed model. Additionally, the generated models were tested with 20 test cases that were different from the training data. The proposed fuzzy logic method removes the requirement for several trials to determine the most critical input parameters. This will expedite and minimize the expense of experiments. The findings indicate that the developed model can generate accurate predictions