Abstract
A thermo-acoustic stack with a linear temperature gradient has been identified with computational fluid dynamics (CFD) in response to forcing with acoustic velocity and pressure fluctuations at the inlet and outlet of the stack, respectively. Linear transfer matrix of the multiple input, multiple output system (MIMO) has been determined. This transfer matrix is then integrated into a network model of the full thermo-acoustic heat engine. Results for the eigenvalues have been compared between the analytically developed stack and identified stack assisted with CFD and system identification.