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An Approach for Evaluating Structure-Borne Noise Emission of Axial Piston Units Using Blocked Forces

Vogt, Matthias; Geimer, Marcus ORCID iD icon 1
1 Institut für Fahrzeugsystemtechnik (FAST), Karlsruher Institut für Technologie (KIT)

Abstract:

In the context of electrification and the development of quieter internal combustion engines, the noise generated by axial piston units is becoming more prominent. While established methods and standards exist for evaluating airborne and fluid-borne noise of
hydraulic pumps, the structure-borne noise emitted by the pump and transferred to mobile machinery has been rarely investigated. A method that has gained popularity in recent applications for characterizing structure-borne noise sources is the in situ blocked
force method. Blocked forces are receiver-system-independent interface quantities,
allowing for a component-specific assessment of structure-borne noise. This publication introduces the fundamental approaches for determining blocked forces and
presents the results of a metrological assessment of blocked forces for an axial piston pump. Besides evaluating the hydraulic unit using blocked forces, these forces
can also be applied to any machine structure as they are receiver-system-independent.
This enables the prediction of how structure-borne noise emitted by the axial piston
pump propagates in a mobile working machine. ... mehr


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Originalveröffentlichung
DOI: 10.13052/rp-9788743808251A35
Zugehörige Institution(en) am KIT Institut für Fahrzeugsystemtechnik (FAST)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2025
Sprache Englisch
Identifikator ISBN: 978-87-438-0825-1
KITopen-ID: 1000190906
Erschienen in The 19th Scandinavian International Conference on Fluid Power, SICFP'25
Veranstaltung 19th Scandinavian International Conference on Fluid Power (SICFP 2025), Linköping, Schweden, 02.06.2025 – 04.06.2025
Verlag River Publishers
Seiten 466–477
Schlagwörter Hydraulics, fluid power, noise, vibrations, mobile applications, industrial applications, hydraulic components, digitalization, AI development, simulation and modelling, efficiency, sustainability, control systems
Nachgewiesen in Dimensions
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