GPPS 4th CFD Workshop

CFD Workshop Program for 2023
Download Event Program (PDF)

Workshop Organizers

Our organizers have wide background: academia, industries and software companies.

Mehdi Vahdati, Xiao He (Imperial College London)

Shenren Xu, Dongming Cao,
Dingxi Wang
(Northwestern Polytechnical University)

Senthil Krishnababu
(SIEMENS Energy)

Domenico Mendicino,
Benoit Tartinville
(Cadence Design Systems)

Guangfeng An, Xianjun Yu
(Beihang University)

Fabian Klausmann
(Technical University Darmstadt)

GPPS 4th Turbomachinery CFD Workshop

The workshop will take during the GPPS Chania24 conference between 4th - 6th September, 2024.

This year, the Chania24 organising committee is excited to announce the integration of the CFD workshop into its three-day event. Participants should submit their predicted results (no paper submission is required) ahead of time, with a short presentation serving as focal point for discussions and analysis. This integration aims to enhance accessibility for conference attendees, enabling an improved collaborative learning environment where participants can not only present but actively engage with and learn from the feedback of their peers and experts in the field.

During the Chania24 conference, as part of the workshop, we will also feature three prominent plenary keynote talks focusing on Computational Fluid Dynamics (CFD). As leading experts in the field, these keynote sessions will provide valuable insights.


Computational Fluid Dynamics(CFD) has been playing an indispensable role in modern turbomachinery design. Nevertheless, RANS-based CFD has been abused, leading to eroded trust on it. This abuse can be attributed to the easy use, easy accessibility, robustness, and probably oversell of commercial CFD software and “always good results” of CFD related publications (otherwise they cannot be published). CFD, as a tool, has its own limitations and strength. Users need to be aware of those limitations and strength to maximize the potential and avoid the abuse of CFD.


The GPPS turbomachinery CFD workshop series were launched to achieve three objectives through performing validation and verification. The first is to raise the awareness of the limitations and strength of CFD. The second is to develop a best practice guide of RANS solvers for turbomachinery applications. The third is to promote education of the next generation turbomachinery CFD engineers.

This is the fourth workshop of its series. Different from the previous three workshops which were held as a dedicated event, the coming workshop will be integrated with the technical conference. Three CFD keynotes from computational veterans will provide us with retrospects and perspectives. The CFD workshop, consisting of a summary presentation, participant presentations and discussions, will be run as a parallel session with other technical conference sessions.

Case and Tracks

The TUDa compressor represents the state of the art of its category and has valuable high quality experimental data. This year’s workshop will focus on this compressor, and submissions are welcomed in any of the following three tracks:

(1) Steady RANS

The goal is to: (1) verify new submission against previous submissions in predicting compressor performance (see Fig. 1 below); (2) understand the effect of different RANS models (e.g., turbulence model, wall stress model, R-S interface model, etc.) in changing the compressor performance.


Figure 1 Compressor performance characteristics at the 100% design speed
(2)   Unsteady RANS

The goal is to: (1) validate if URANS can capture the same stall inception mechanism as the experiment, indicated by the casing wall unsteady pressure data (see Figure 2-4); (2) understand the effect of URANS with the sliding plane in changing the stator exit profiles of flow quantities (see Figure 5)

Casing static pressure field during Stall Inception at the 100% and 60% design speeds
Figure 2 Casing static pressure field during Stall Inception at the 100% and 60% design speeds
Casing static pressure spectrogram during stall inception
Figure 3 Casing static pressure spectrogram during stall inception
Figure 4 Detected pressure disturbances prior to stall inception for the 100% (left) and 65% (right) design speeds
Figure 4 Detected pressure disturbances prior to stall inception for the 100% (left) and 65% (right) design speeds
Figure 5 Total pressure at the stator exit: near peak efficiency point(left) and near stall point(right) of the 100% design speed
(3) Scale-Resolving Simulations

The goal is to: (1) validate the rotor exit flow field especially in the vicinity of the casing (see Figure 6); (2) comparing with steady RANS predictions for better understanding of the shortcomings of the turbulence model.

Figure 6 Total pressure contours at the rotor exit near the peak efficiency point. (CFD result is the median RANS results collected from previous workshops)

Our location

With team members spread across the globe, the core team is based in Zurich Switzerland.


Landis + Gyr-Strasse 1, 6300 Zug