Javascript must be enabled to continue!
Mixing Losses in Steady and Unsteady Simulations of Turbomachinery Flows
View through CrossRef
The aim of the present work is to facilitate insight into the modeling errors in the context of blade row coupling approaches which capture unsteady flow phenomena at different levels of detail. The focus is on RANS-based steady mixing plane computations as well as time domain and frequency domain unsteady computations. The concept of mixing loss is revisited to quantify the amount of unsteadiness in a flow field. Following an idea by Fritsch and Giles, we compute a second order approximation of the mixing losses which are generated at blade row interfaces. The resulting formula decomposes the entropy jump into contributions of circumferential and temporal fluctuations. The mathematical derivation, however, is based upon simpler arguments. It is shown that Fritsch and Giles’ main result can be extended to non-ideal gases. Moreover, the second order mixing loss formula is applied to time and frequency domain unsteady simulations. It is shown that an additional term has to be computed which accounts for the interaction of evanescent acoustic modes if the method is applied to unsteady flows. The methodology decomposes the overall mixing entropy into contributions of single perturbation types and harmonics. This may be used to assess whether unsteady flow phenomena of interest are adequately resolved and, in particular, to quantify the unsteadiness contained in the unresolved harmonics. A detailed investigation of the transonic IGV-rotor configuration of DLR’s Rig 250 compressor demonstrates the approach.
American Society of Mechanical Engineers
Title: Mixing Losses in Steady and Unsteady Simulations of Turbomachinery Flows
Description:
The aim of the present work is to facilitate insight into the modeling errors in the context of blade row coupling approaches which capture unsteady flow phenomena at different levels of detail.
The focus is on RANS-based steady mixing plane computations as well as time domain and frequency domain unsteady computations.
The concept of mixing loss is revisited to quantify the amount of unsteadiness in a flow field.
Following an idea by Fritsch and Giles, we compute a second order approximation of the mixing losses which are generated at blade row interfaces.
The resulting formula decomposes the entropy jump into contributions of circumferential and temporal fluctuations.
The mathematical derivation, however, is based upon simpler arguments.
It is shown that Fritsch and Giles’ main result can be extended to non-ideal gases.
Moreover, the second order mixing loss formula is applied to time and frequency domain unsteady simulations.
It is shown that an additional term has to be computed which accounts for the interaction of evanescent acoustic modes if the method is applied to unsteady flows.
The methodology decomposes the overall mixing entropy into contributions of single perturbation types and harmonics.
This may be used to assess whether unsteady flow phenomena of interest are adequately resolved and, in particular, to quantify the unsteadiness contained in the unresolved harmonics.
A detailed investigation of the transonic IGV-rotor configuration of DLR’s Rig 250 compressor demonstrates the approach.
Related Results
A Machine Learning Approach for the Prediction of Time-Averaged Unsteady Flows in Turbomachinery
A Machine Learning Approach for the Prediction of Time-Averaged Unsteady Flows in Turbomachinery
Abstract
Recent advances in deep learning have led to its increased application in the field of fluid dynamics. By using a data-driven approach instead of a more con...
Turbomachinery Simulation Impact on Design, Understanding, and Optimization
Turbomachinery Simulation Impact on Design, Understanding, and Optimization
Abstract
This paper presents the impact of Turbomachinery Simulation from simple analytical simulations to high fidelity CFD and Finite Element Analyses on the desig...
Application of the Harmonic Balance Method in Simulating Almost Periodic Turbomachinery Flows
Application of the Harmonic Balance Method in Simulating Almost Periodic Turbomachinery Flows
The time-domain harmonic balance method is now popular in simulating unsteady turbomachinery flows. The essence of this method is that the time marching of a periodic or almost-per...
Why Does the PV Solar Power Plant Operate Ineffectively?
Why Does the PV Solar Power Plant Operate Ineffectively?
Quality, reliability, and durability are the key features of photovoltaic (PV) solar system design, production, and operation. They are considered when manufacturing every cell and...
Assessment of Wall Modelling for Large Eddy Simulations of Turbomachinery
Assessment of Wall Modelling for Large Eddy Simulations of Turbomachinery
The design process of turbomachinery components relies heavily on Reynods Averaged Navier Stokes (RANS) simulations. This approach is well suited for steady simulations and comes w...
Detecting lake mixing anomalies using Earth Observation
Detecting lake mixing anomalies using Earth Observation
Lakes are responding rapidly to climate change and one of the most tangible responses is the increase in lake surface water temperature. Such an increase can intensify thermal stra...
Arctic Ocean mixing maps inferred from pan-Arctic observations
Arctic Ocean mixing maps inferred from pan-Arctic observations
Quantifying ocean mixing rates in the Arctic Ocean is critical to our ability to predict upwards oceanic heat flux, freshwater distribution, and circulation. However, direct ocean ...
Application of an Improved Mixing Plane Approach for Steady-State Computations of Turbulent Flows in Turbomachinery
Application of an Improved Mixing Plane Approach for Steady-State Computations of Turbulent Flows in Turbomachinery
Steady-state simulations of turbomachinery often require the use of mixing planes in between blade rows to remove unsteady rotor-stator interactions. In multistage configurations w...

