Prediction Method of Cavitation inside Torque Converter using Gaseous Cavitation Model
The occurrence of cavitation in fluid machinery such as torque converter causes problems such as damage to components, increased noise, and reduced performance. A technique for forecasting these issues at the design stage would benefit industry. In this study, a gaseous cavitation model was introduced into a commercial flow analysis software “STAR-CCM+” to numerically simulate the void fraction in a torque converter. The applicability of the gaseous cavitation model to torque converters was verified by comparing the calculated results with experimental results where erosion occurred. The results show that the model is valid because it reproduces the position of blade erosion under conditions where it is difficult to determine the onset of cavitation from the change in torque converter characteristics.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/02878321
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Authors:
- Usui, Tomohiko
- Iga, Yuka
- Publication Date: 2021-9
Language
- English
- Japanese
Media Info
- Media Type: Digital/other
- Features: Figures; Photos; References; Tables;
- Pagination: pp 961-966
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Serial:
- Transactions of Society of Automotive Engineers of Japan
- Volume: 52
- Issue Number: 5
- Publisher: Society of Automotive Engineers of Japan
- ISSN: 0287-8321
- EISSN: 1883-0811
- Serial URL: https://www.jstage.jst.go.jp/browse/jsaeronbun
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Blades (Machinery); Cavitation (Mechanics); Fluid dynamics; Predictive models; Simulation; Torque converters
- Subject Areas: Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01785984
- Record Type: Publication
- Source Agency: Japan Science and Technology Agency (JST)
- Files: TRIS, JSTAGE
- Created Date: Oct 26 2021 2:25PM