Selected Papers from the XXVI Biennial Symposium on Measuring Techniques in Turbomachinery

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Turbomachinery and Propulsion Group, Dipartimento di SM, ITSM—Institute of Thermal Turbomachinery and Machinery Laboratory, University of Stuttgart, 70569 Stuttgart, Germany
Interests: turbomachinery aerodynamics
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Department of Mechanical Engineering, Muenster University of Applied Sciences, Stegerwaldstr. 39, 48565 Steinfurt, Germany
Interests: thermal turbomachines (turbines); organic-Rankine-cycle (ORC) power systems; non-ideal gas dynamics; convective heat transfer in rotating disk systems

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Department of Energy, Systems, Territory and Construction Engineering, University of Pisa, 56126 Pisa, Toscana, Italy
Interests: measurement techniques in turbomachinery
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Special Issue Information

Dear Colleagues,

The Biennial Symposium on Measuring Techniques in Turbomachinery is a recurrent event that has been organized every two years at locations across Europe since 1969. The 26th Symposium (MTT2622) was held in Pisa (Italy) https://mtt2622.meastechturbo.com/, on 28–30 September 2022. Since its inception, this symposium has provided a forum for researchers from universities, research institutes and industry to discuss and share experiences related to measurements in turbomachines. The symposium covers the development of measurement techniques for the study of aerothermal phenomena in components such as cascades, compressors, turbines, engines and power plants. The primary topics of this Special Issue include (but are not limited to): measurement techniques; probes and devices; new or advanced test rigs; new techniques for monitoring engine operation, and new methods for experimental data analysis. The 26th edition of this symposium hosted 36 presentations. An extended and revised version of the best papers from the conference, corresponding to the IJTPP scope, are collected in this Special Issue.

Prof. Dr. Damian Vogt
Prof. Dr. Stefan aus der Wiesche
Dr. Lorenzo Ferrari
Guest Editors

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Published Papers (3 papers)

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Research

18 pages, 9032 KiB  
Article
Towards Improved Turbomachinery Measurements: A Comprehensive Analysis of Gaussian Process Modeling for a Data-Driven Bayesian Hybrid Measurement Technique
by Gonçalo G. Cruz, Xavier Ottavy and Fabrizio Fontaneto
Int. J. Turbomach. Propuls. Power 2024, 9(3), 28; https://doi.org/10.3390/ijtpp9030028 - 1 Aug 2024
Viewed by 1044
Abstract
A cost-effective solution to address the challenges posed by sensitive instrumentation in next-gen turbomachinery components is to reduce the number of measurement samples required to assess complex flows. This study investigates Gaussian Process (GP) modeling approaches within the framework of a data-driven hybrid [...] Read more.
A cost-effective solution to address the challenges posed by sensitive instrumentation in next-gen turbomachinery components is to reduce the number of measurement samples required to assess complex flows. This study investigates Gaussian Process (GP) modeling approaches within the framework of a data-driven hybrid measurement technique for turbomachinery applications. Three different modeling approaches—Baseline GP, CFD to Experiments GP, and Multi-Fidelity GP—are evaluated, and their performance in predicting mean flow characteristics and associated uncertainties on a low aspect ratio axial compressor stage, representative of the last stage of a high-pressure compressor, are focused on. The Baseline GP demonstrates robust accuracy, while the integration of CFD data in CFD into Experiments GP introduces complexities and more errors. The Multi-Fidelity GP, leveraging both CFD and experimental data, emerges as a promising solution, exhibiting enhanced accuracy in critical flow features. A sensitivity analysis underscores its stability and accuracy, even with reduced measurements. The Multi-Fidelity GP, therefore, stands as a reliable data fusion method for the proposed hybrid measurement technique, offering a potential reduction in instrumentation effort and testing times. Full article
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23 pages, 3122 KiB  
Article
Wall-Proximity Effects on Five-Hole Probe Measurements
by Adrien Vasseur, Nicolas Binder, Fabrizio Fontaneto and Jean-Louis Champion
Int. J. Turbomach. Propuls. Power 2024, 9(2), 16; https://doi.org/10.3390/ijtpp9020016 - 8 May 2024
Viewed by 1650
Abstract
Wall proximity affects the accuracy of pressure probe measurements with a particularly strong impact on multi-hole probes. The wall-related evolution of the calibration of two hemispheric L-shaped 3D-printed five-hole probes was investigated in a low-speed wind tunnel. Pressure measurements and 2D particle image [...] Read more.
Wall proximity affects the accuracy of pressure probe measurements with a particularly strong impact on multi-hole probes. The wall-related evolution of the calibration of two hemispheric L-shaped 3D-printed five-hole probes was investigated in a low-speed wind tunnel. Pressure measurements and 2D particle image velocimetry were performed. The wall proximity causes the probe to measure a flow diverging from the wall, whereas the boundary layer causes the probe to measure a velocity directed towards the wall. Both angular calibration coefficients are affected in different manners. The error in angle measurement can reach 7°. These errors can be treated as calibration information. Acceleration caused by blockage is not the main reason for the errors. Methods to perform measurements closer to the wall are suggested. Full article
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18 pages, 3967 KiB  
Article
Quantification of Blade Vibration Amplitude in Turbomachinery
by Alexandra P. Schneider, Benoit Paoletti, Xavier Ottavy and Christoph Brandstetter
Int. J. Turbomach. Propuls. Power 2024, 9(1), 10; https://doi.org/10.3390/ijtpp9010010 - 4 Mar 2024
Viewed by 1981
Abstract
Experimental monitoring of blade vibration in turbomachinery is typically based on blade-mounted strain gauges. Their signals are used to derive vibration amplitudes which are compared to modal scope limits, including a safety factor. According to industrial guidelines, this factor is chosen conservatively to [...] Read more.
Experimental monitoring of blade vibration in turbomachinery is typically based on blade-mounted strain gauges. Their signals are used to derive vibration amplitudes which are compared to modal scope limits, including a safety factor. According to industrial guidelines, this factor is chosen conservatively to ensure safe operation of the machine. Within the experimental campaign with the open-test-case composite fan ECL5/CATANA, which is representative for modern lightweight Ultra High Bypass Ratio (UHBR) architectures, measurements close to the stability limit have been conducted. Investigation of phenomena like non-synchronous vibrations (NSV) and rotating stall require a close approach to the stability limit and hence demand for accurate (real-time) quantification of vibration amplitudes to ensure secure operation without exhaustive safety margins. Historically, short-time Fourier transforms of vibration sensors are used, but the complex nature of the mentioned coupled phenomena has an influence on amplitude accuracy, depending on evaluation parameters, as presented in a previous study using fast-response wall-pressure transducers. The present study investigates the sensitivity of blade vibration data to evaluation parameters for different spectral analysis methods and provides guidelines for fast and robust surveillance of critical vibration modes. Full article
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