- AutorIn
- Kento Kumagai
- Dr.-Ing. Shohei Ryu
- Associate Prof. Dr.-Ing. Masanori Ota
- Dr.-Ing. Kazuo Maeno
- Titel
- Improvement of the Vibration Prediction of a Poppet Valve in a Cavitation State
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa-199467
- Quellenangabe
- 10th International Fluid Power Conference (10. IFK) March 8 - 10, 2016, Vol. 1, pp. 145-156
- Quellenangabe
- Volume 1 – Symposium: Tuesday, March 8
- Auflage
- 1
- Erstveröffentlichung
- 2016
- Abstract (EN)
- Poppet valves are popular components of hydraulic systems, but they sometimes induce vibration in these systems. In particular, the vibration phenomenon of a poppet valve in a cavitation state is a troublesome problem in hydraulic systems, because the dynamic effects of cavitation on the poppet valve are difficult to predict. In this research, we investigated the vibration phenomenon of the poppet valve in the cavitation state in a visualization experiment and numerical simulation. We found in numerical simulation that it is possible to predict the tendency of the vibration by assuming that the bulk modulus of hydraulic oil is affected by the ratio of cavitation bubbles mixed in the oil. Additionally, we proposed a simple method of estimating the quantity of cavitation bubbles through visualization experiments and image processing. We then improved the prediction accuracy of the poppet valve behavior by applying the bubble mixing ratio obtained using the method in the numerical simulation model. The described methods not only avoid the sensor effect on the flow field but also save the additional measurement cost, and they are easy to apply to hydraulics systems.
- Freie Schlagwörter (EN)
- Poppet valve, Vibration, Cavitation, Visualization, Numerical simulation
- Klassifikation (DDC)
- 620
- Klassifikation (RVK)
- ZQ 5460
- Publizierende Institution
- Technische Universität Dresden, Dresden
- Sonstige beteiligte Institution
- Dresdner Verein zur Förderung der Fluidtechnik e. V., Dresden
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa-199467
- Veröffentlichungsdatum Qucosa
- 27.04.2016
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis