TY - JOUR AU - Kocsis, Bálint AU - Horváth, Csaba TI - Further development of rotating beamforming techniques using asynchronous measurements JF - Journal of Theoretical and Computational Acoustics J2 - J THEOR COMPUT ACOUS VL - 32 PY - 2024 IS - 1 PG - 25 SN - 2591-7285 DO - 10.1142/S2591728523400066 UR - https://m2.mtmt.hu/api/publication/34518784 ID - 34518784 N1 - Correspondence Address: Kocsis, B.; Department of Fluid Mechanics, Muegyetem rkp. 3, Hungary; email: kocsis.balint@gpk.bme.hu AB - When rotating noise sources, such as turbomachinery, are investigated using phased microphone array measurements and beamforming, sidelobes appear on the resulting beamforming maps. Sidelobes can be decreased by increasing the number of microphones. However, if the investigated phenomenon is steady, then there is a cost-effective alternative: performing asynchronous measurements using phased arrays having a limited number of microphones. The single beamforming maps can be combined in order to arrive at results that are superior in resolution and sidelobe levels. This technique has been investigated in the literature, but according to the authors’ best knowledge, has not yet been applied to turbomachinery. This article introduces a means for applying the asynchronous measurement technique and the combination methods for rotating noise sources. The combination methods are demonstrated on two rotating point sources (both in simulations and measurements), and then on an axial flow fan test case. In the case of the two rotating point sources, the achievable improvement in resolution, average-, and maximum sidelobe levels are shown as compared to the single results. In the case of the axial flow fan, it is demonstrated that the combination methods provide more reliable noise source locations and reveal further noise sources. LA - English DB - MTMT ER - TY - GEN ED - Vad, János ED - Horváth, Csaba ED - Benedek, Tamás TI - International Journal of Turbomachinery, Propulsion and Power. Selected Turbomachinery Papers from the 18th Conference on Modelling Fluid Flow CMFF'22 TS - Selected Turbomachinery Papers from the 18th Conference on Modelling Fluid Flow CMFF'22 PY - 2023 UR - https://m2.mtmt.hu/api/publication/34518816 ID - 34518816 LA - English DB - MTMT ER - TY - JOUR AU - Fekete, János AU - Torma, Péter AU - Szabó, Anna AU - Balogh, Miklós AU - Horváth, Csaba AU - Weidinger, Tamás AU - Szabó, Gábor AU - Bozóki, Zoltán TI - Open photoacoustic cell for concentration measurements in rapidly flowing gas JF - PHOTOACOUSTICS J2 - PHOTOACOUSTICS VL - 30 PY - 2023 PG - 6 SN - 2213-5979 DO - 10.1016/j.pacs.2023.100469 UR - https://m2.mtmt.hu/api/publication/33681855 ID - 33681855 N1 - Department of Optics and Quantum Electronics, University of Szeged, Szeged, H-6720, Hungary ELKH-SZTE Research Group for Photoacoustic Monitoring of Environmental Processes, Szeged, H-6720, Hungary National Laboratory for Water Science and Water Security, Budapest University of Technology and Economics, Faculty of Civil Engineering, Department of Hydraulic and Water Resources Engineering, Budapest, H-1111, Hungary Department of Fluid Mechanics, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, H-1111, Hungary Department of Meteorology, Eötvös Loránd University, Budapest, H-1117, Hungary Export Date: 23 March 2023 Correspondence Address: Bozóki, Z.; Department of Optics and Quantum Electronics, Dom ter 9, Hungary; email: zbozoki@physx.u-szeged.hu AB - High temporal resolution concentration measurements in rapid gas flows pose a serious challenge for most analytical instruments. The interaction of such flows with solid surfaces can generate excessive aero-acoustic noise making the application of the photoacoustic detection method seemingly impossible. Yet, the fully open photoacoustic cell (OC) has proven to be operable even when the measured gas flows through it at a velocity of several m/s. The OC is a slightly modified version of a previously introduced OC based on the excitation of a combined acoustic mode of a cylindrical resonator. The noise characteristics and analytical performance of the OC are tested in an anechoic room and under field conditions. Here we present the first successful application of a sampling-free OC for water vapor flux measurements. LA - English DB - MTMT ER - TY - GEN ED - Dominique, Thévenin ED - Vad, János ED - Horváth, Csaba ED - Gábor, Janiga TI - Technische Mechanik. Vol. 43 No. 1 (2023): Special Issue for CMFF’22 TS - Vol. 43 No. 1 (2023): Special Issue for CMFF’22 ET - 43 PY - 2023 SP - 1 EP - 202 PG - 202 UR - https://m2.mtmt.hu/api/publication/33645609 ID - 33645609 AB - This volume of Tech. Mech. contains selected papers presented at the 18th event of the international conference series on fluid flow technologies, referred to today as Conference on Modelling Fluid Flow (CMFF’22). This conference took place in Budapest (Hungary) between Aug. 30th and Sept. 2nd, 2022, with more than 100 participants from 14 countries. The next event is scheduled for September 2025. Please bookmark https://www.cmff.hu if you would like to be kept informed. LA - English DB - MTMT ER - TY - CHAP AU - Romasz, Ádám AU - Tokaji, Kristóf AU - Horváth, Csaba ED - Vad, János TI - The investigation of counter-rotating turbomachinery broadband noise sources as a function of rotational speed T2 - Proceedings of Conference on Modelling Fluid Flow (CMFF'22) PB - Budapest University of Technology and Economics, Department of Fluid Mechanics CY - Budapest SN - 9789634218814 PY - 2022 SP - 173 EP - 181 PG - 9 UR - https://m2.mtmt.hu/api/publication/33266087 ID - 33266087 LA - English DB - MTMT ER - TY - CHAP AU - Balogh, Miklós AU - Koscsó, Gábor AU - Kocsis, Bálint AU - Horváth, Csaba AU - Bozóki, Zoltán ED - Vad, János TI - AEROACOUSTIC NOISE REDUCTION OF OPEN PHOTOACOUSTIC CELLS SUPPORTED BY EXPERIMENTS AND SIMULATIONS T2 - Proceedings of Conference on Modelling Fluid Flow (CMFF'22) PB - Budapest University of Technology and Economics, Department of Fluid Mechanics CY - Budapest SN - 9789634218814 PY - 2022 SP - 452 EP - 459 PG - 8 UR - https://m2.mtmt.hu/api/publication/33119045 ID - 33119045 LA - English DB - MTMT ER - TY - CHAP AU - Olgyay, Ábel AU - Takarics, Béla AU - Körösparti, Bence Balázs AU - Lelkes, János AU - Horváth, Csaba AU - Vanek, Bálint ED - Vad, János TI - Aeroservoelasticity investigation with panel method T2 - Proceedings of Conference on Modelling Fluid Flow (CMFF'22) PB - Budapest University of Technology and Economics, Department of Fluid Mechanics CY - Budapest SN - 9789634218814 PY - 2022 SP - 392 EP - 399 PG - 8 UR - https://m2.mtmt.hu/api/publication/33108529 ID - 33108529 LA - English DB - MTMT ER - TY - JOUR AU - Fenyvesi, Bence AU - Kriegseis, J. AU - Horváth, Csaba TI - An automated method for the identification of interaction tone noise sources on the beamforming maps of counter-rotating rotors JF - PHYSICS OF FLUIDS J2 - PHYS FLUIDS VL - 34 PY - 2022 IS - 4 SP - 047105 EP - 047105-16 PG - 17 SN - 1070-6631 DO - 10.1063/5.0083634 UR - https://m2.mtmt.hu/api/publication/32775492 ID - 32775492 N1 - Budapest University of Technology and Economics, Faculty of Mechanical Engineering, Department of Fluid Mechanics, Muegyetem rkp. 3, Budapest, 1111, Hungary Karlsruhe Institute of Technology (KIT), Institute of Fluid Mechanics (ISTM), Kaiserstraße 10, Karlsruhe, 76131, Germany Export Date: 29 April 2022 CODEN: PHFLE Correspondence Address: Horváth, C.; Budapest University of Technology and Economics, Muegyetem rkp. 3, Hungary; email: horvath.csaba@gpk.bme.hu AB - Counter-rotating rotor configurations are considered more efficient than their single rotor counterparts. Consequently, the coaxially aligned rotors have appeared in the fixed-wing aircraft sector and are appearing in the quickly developing unmanned aerial vehicle sector, where they are expected to play a significant role, especially for long haul and heavy load configurations. As their noise levels have proven to be rather significant, the localization and reduction of the noise of such counter-rotating blade sets is a relevant topic of interest. One of the dominant contributors to counter-rotating rotor noise is interaction tones. Interaction tones appear at combinations of the harmonics of the blade passing frequencies of the two rotors and are significant throughout the spectra. In this paper, an automated method is presented that analyzes an entire series of beamforming noise source maps using principal component analysis-based methods in order to identify the dom- inant noise generation mechanisms in frequency bins that are associated with interaction tones. The processing technique is presented herein through the investigation of counter-rotating open rotor datasets developed for a fixed-wing aircraft configuration. With the proposed method, an objective mean has been provided for separating apart contributions from various noise sources, which can be automated, mak- ing the processing and investigation of large sets of measurement data rather quick and easy. The method has been developed such that the results of the analysis are easy to comprehend even without specialized prior knowledge in the area of counter-rotating rotor noise. LA - English DB - MTMT ER - TY - JOUR AU - Zhang, Haitian AU - Kocsis, Bálint AU - Horváth, Csaba TI - Segmented ROSI method: Beamforming method for investigating turbomachinery noise sources along segmented trajectories JF - NOISE CONTROL ENGINEERING JOURNAL J2 - NOISE CONTROL ENG J VL - 70 PY - 2022 IS - 1 SP - 62 EP - 76 PG - 15 SN - 0736-2501 DO - 10.3397/1/37705 UR - https://m2.mtmt.hu/api/publication/32651252 ID - 32651252 N1 - Funding Agency and Grant Number: Hungarian National Research, Development and Innovation Centre [K 129023]; NRDI Fund under TKP2021 [BME-NVA-02]; NRDI Fund under TKP2020 NC; Ministry for Innovation and Technology; China Scholarship CouncilChina Scholarship Council; Stipendium Hungaricum Scholarship Funding text: The research reported in this paper and carried out at BME has been supported by the Hungarian National Research, Development and Innovation Centre under contract no. K 129023; NRDI Fund under TKP2021 (project no. BME-NVA-02) and TKP2020 NC (grant no. BME-NCS) based on the charter of bolster issued by the NRDI Office under the auspices of the Ministry for Innovation and Technology; and China Scholarship Council and Stipendium Hungaricum Scholarship. AB - The rotating source identifier (ROSI) beamforming method is a method designed for localizing rotating noise sources in a uniform flow based on out-of-flow acoustic pressure field measurement data. It has been developed for sources moving along a circular trajectory, such as turbomachinery blades. The original ROSI method processes the measured acoustic signals over a long time segment to reconstruct the noise sources, providing time-averaged results for each noise source. By doing so, it does not take into consideration certain features of the noise sources, such as the directivity of the trailing edge and leading-edge noise sources. A further development of the ROSI method is presented herein, which separates the sound-pressure signal of one revolution into multiple segments. In this way, the beamforming maps can provide one with a better understanding of the differences between the noise sources as a function of angular position. This method will be referred to herein as the segmented ROSI method. The goal of this further development is to improve the capability of the method in identifying the position-dependent modulations of the various noise sources as they are moving along their trajectories, rotating around the axis. The investigation presents the theory behind the new segmented ROSI method along with simulation and measurement-based test cases which help in comparing the new method to the original ROSI method. The results show that the novel method provides a strong tool for investigating turbomachinery noise sources that vary along segments of their trajectories. It is therefore expected that the tool will be useful in cases that look at turbomachinery from an angle and cases where the loading of the blades changes as a function of angular position. LA - English DB - MTMT ER - TY - JOUR AU - Fenyvesi, Bence AU - Horváth, Csaba TI - Identification of Turbomachinery Noise Sources via Processing Beamforming Data Using Principal Component Analysis JF - PERIODICA POLYTECHNICA-MECHANICAL ENGINEERING J2 - PERIOD POLYTECH MECH ENG VL - 66 PY - 2022 IS - 1 SP - 32 EP - 50 PG - 19 SN - 0324-6051 DO - 10.3311/PPme.18555 UR - https://m2.mtmt.hu/api/publication/32605932 ID - 32605932 N1 - Cited By :1 Export Date: 2 May 2022 CODEN: PPMMB Correspondence Address: Fenyvesi, B.; Department of Fluid Mechanics, Bertalan Lajos street 4–6, Hungary; email: fenyvesi@ara.bme.hu AB - Complex turbomachinery systems produce a wide range of noise components. The goal is to identify noise source categories, determine their characteristic noise patterns and locations. Researchers can then use this information to quantify the impact of these noise sources, based on which new design guidelines can be proposed. Phased array microphone measurements processed with acoustic beamforming technology provide noise source maps for pre-determined frequency bands (i.e., bins) of the investigated spectrum. However, multiple noise generation mechanisms can be active in any given frequency bin. Therefore, the identification of individual noise sources is difficult and time consuming when using conventional methods, such as manual sorting. This study presents a method for combining beamforming with Principal Component Analysis (PCA) methods in order to identify and separate apart turbomachinery noise sources with strong harmonics. The method is presented through the investigation of Counter-Rotating Open Rotor (CROR) noise sources. It has been found that the proposed semi-automatic method was able to extract even weak noise source patterns that repeat throughout the data set of the beamforming maps. The analysis yields results that are easy to comprehend without special prior knowledge and is an effective tool for identifying and localizing noise sources for the acoustic investigation of various turbomachinery applications. LA - English DB - MTMT ER -