A design method based on neural network to predict thermoacoustic Stirling engine parameters: Experimental and theoretical assessment
Shahryar Zare, Fathollah Pourfayaz, A.R. Tavakolpour-Saleh, Reza Ahmadi Lashaki
Topics & Concepts
Stirling engineThermoacousticsArtificial neural networkThermoacoustic heat engineStirling cycleComputer scienceEngineeringAcousticsMechanical engineeringPhysicsArtificial intelligenceHeat exchangerAdvanced Thermodynamic Systems and EnginesRefrigeration and Air Conditioning TechnologiesThermodynamic and Exergetic Analyses of Power and Cooling Systems