Effects of oil contamination level, flow rate and viscosity on pressure drop development and dirt holding capacity of hydraulic filter

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Research units

  • Parker Hannifin, Hydraulic and Industrial Process Filtration EMEA, Urjala, Finland


In hydraulic systems, the presence of foreign material in the system oil accounts for the majority of system troubles due to mechanical wear of components, sticking of different parts etc. Therefore, it is essential to maintain an adequate cleanliness level of the fluid at all times through filtration. Mechanical filters are used for this purpose, to separate solid particles from the system oil. As a hydraulic filter gets accumulated with dirt throughout its service life, the pressure drop over the filter element increases. This pressure drop is typically used for determining the lifetime of a filter element: once a predetermined pressure drop at certain flow conditions has been reached, the filter has accumulated enough dirt to require servicing or replacement. In this paper, a correlation model has been developed to describe the effects of flow and fluid properties on the dirt holding capacity and the service life duration of a hydraulic filter. For this purpose, extensive laboratory tests have been carried out in order to measure the pressure drop development of a filter unit at different oil flow rates, viscosities and gravimetric contamination levels.


Original languageEnglish
Title of host publicationASME/BATH 2019 Symposium on Fluid Power and Motion Control, FPMC 2019
Publication statusPublished - 7 Oct 2019
MoE publication typeA4 Article in a conference publication
EventASME/BATH Symposium on Fluid Power and Motion Control - Longboat Key, United States
Duration: 7 Oct 20199 Oct 2019


ConferenceASME/BATH Symposium on Fluid Power and Motion Control
Abbreviated titleFPMC
CountryUnited States
CityLongboat Key
Internet address

    Research areas

  • hydraulic filtration, pressure drop, correlation model, predictive maintenance

Download statistics

No data available

ID: 40269946