چکیده مقاله
The proposed paper describes a new method to predict output power and efficiency of a free piston Stirling oscillator FPSO using artificial neural network ANN First, the mathematical description of the proposed oscillator is derived Then, a unified method for developing an ANN is considered to achieve the aim of this work The input parameters include the strokes of displacer and power pistons, hot and cold sinks, heat transfer coefficient, and phase angle while output power and efficiency are considered as the output parameters of the ANN Next, the regression and mean square error MSE analyses are employed to obtain the appropriate ANN model Besides, three experimental case studies from NASA and Shiraz University of Technology are taken into account to verify the performance of the proposed ANN As a consequence, the maximum prediction error for output power and efficiency are found to be less than 3% and 6% respectively Finally, the proposed scheme can be used as a powerful tool for predicting important parameters of an FPSE
کلیدواژهها
نویسندگان
Alireza Shourangiz Haghighi
Department of Mechanical and Aerospace Engineering, Shiraz University of Technology;
Alireza Tavakolpour-Saleh
Department of Mechanical and Aerospace Engineering, Shiraz University of Technology;
شیوه ارجاع
Shourangiz Haghighi, Alireza and Tavakolpour-Saleh, Alireza,1398,Prediction of output power and efficiency for a free piston Stirling oscillator using artificial neural network,3rd International Conference on Soft Computing,Rudsar
ارائهشده در
مجموعه مقالات سومین کنفرانس بین المللی محاسبات نرم29 آبان 1398 · رودسر