TY - CONF

T1 - Improving Aerothermal and Aeromechanical Turbomachinery Design by Combining High-Fidelity Methods with Multi-Stage Approaches

AU - Mimic, Dajan

AU - Jätz, Christoph

AU - Oettinger, Marcel

AU - Herbst, Florian

AU - Seehausen, Hendrik

AU - Kurth, Sebastian

AU - Frieling, Dominik

AU - Zieße, Mark

AU - Seume, Jörg Reinhart

PY - 2019/11

Y1 - 2019/11

N2 - The field of turbomachinery is undergoing a transformation, which favors flexibility, dynamic operation, and off-design performance over mere peak efficiency. In the case of aircraft engines, ever-increasing demands for lower emissions, reduced fuel consumption, and substantially reduced noise drive this trend. As a result, aircraft engines have to perform more efficiently, cleanly and quietly in all phases of flight, i.e., in off-design operation. In the case of stationary gas turbines, power engineers have to face the challenge of highly volatile residual loads on the power grid. Off-design operation, however, yields turbomachine flows characterized by regions of high inhomogeneity and unsteadiness: flow separation, strong secondary flow, and complex turbulent structures interact throughout the stages and cause high aeromechanical loads. Due to the complex flow structures, off-design operating points are usually difficult to predict with conventional Reynolds-averaged Navier–Stokes (RANS) methods and, thus, require high-fidelity computation. Stage interaction requires the proper modeling of multi-stage effects.

AB - The field of turbomachinery is undergoing a transformation, which favors flexibility, dynamic operation, and off-design performance over mere peak efficiency. In the case of aircraft engines, ever-increasing demands for lower emissions, reduced fuel consumption, and substantially reduced noise drive this trend. As a result, aircraft engines have to perform more efficiently, cleanly and quietly in all phases of flight, i.e., in off-design operation. In the case of stationary gas turbines, power engineers have to face the challenge of highly volatile residual loads on the power grid. Off-design operation, however, yields turbomachine flows characterized by regions of high inhomogeneity and unsteadiness: flow separation, strong secondary flow, and complex turbulent structures interact throughout the stages and cause high aeromechanical loads. Due to the complex flow structures, off-design operating points are usually difficult to predict with conventional Reynolds-averaged Navier–Stokes (RANS) methods and, thus, require high-fidelity computation. Stage interaction requires the proper modeling of multi-stage effects.

M3 - Paper

T2 - International Gas Turbine Congress (IGTC) 2019

Y2 - 17 November 2019 through 22 November 2019

ER -