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Prediction and Optimisation of Audible Noise from Fluid Power Machines
Linköping University, Department of Management and Engineering, Fluid and Mechanical Engineering Systems . Linköping University, The Institute of Technology.
Linköping University, Department of Management and Engineering, Machine Design . Linköping University, The Institute of Technology.
Linköping University, Department of Management and Engineering, Fluid and Mechanical Engineering Systems . Linköping University, The Institute of Technology.
Pump and motor division Parker Hannifin AB.
2009 (English)In: The Seventh International Conference on Fluid Power Transmission and Control, Hangzhou, Beijing: Beijing World Publishing Corporation , 2009, 911-918 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this study, a transfer function methodology is employed for mapping simulated internal pump dynamics, such as piston forces and bending moments, on to audible noise. Using these transfer functions, it is possible to predict how, for instance, changed valve plate timing affects simulated piston forces and bending moments and in turn how that will affect audible noise. Hence, it is possible to design an objective function that directly reflects audible noise. The transfer functions are experimentally obtained and are valid for a specific machine shell and to some minor extent the room’s acoustical properties. Simulation of the internal pump dynamics, and optimisations, are carried out using a pump model developed in the simulation tool HOPSAN. The design application is a fixed hydraulic machine of bent axis type with seven pistons. The theory outlined and the method proposed in the paper can also be applied to other types of hydraulic machines. The paper shows how different noise reduction features affect the sound pressure level and also motor mode compared to pump mode.

Place, publisher, year, edition, pages
Beijing: Beijing World Publishing Corporation , 2009. 911-918 p.
Keyword [en]
Multi-objective optimisation flow pulsations sound pressure fluid power machines
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-51096OAI: oai:DiVA.org:liu-51096DiVA: diva2:272771
Available from: 2009-10-16 Created: 2009-10-16 Last updated: 2009-10-17

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Ericson, LiselottÖlvander, JohanPalmberg, Jan-Ove

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CiteExportLink to record
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Output format
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