On the Prediction of Cavitation in Dimples Using a Mass-Conservative Algorithm

By Y. Qiu, Michael M. Khonsari. 2009

217 citations recorded by the source corpus.

Subfields: Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/08cf449118109efeeac3549f89413b8af4084b93

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Mechanical Engineering

1. E. Tomanik
2. Ling Wang
3. Daniel Gropper
4. Terry J. Harvey

In Mechanics of Materials

1. E. Tomanik
2. Ling Wang
3. Daniel Gropper
4. Terry J. Harvey

Citations in the corpus

• Hydrodynamic lubrication of textured surfaces: A review of modeling techniques and key findings (2016, background): “The two most commonly investigated dimple shapes are circular dimples with a curved bottom profile (spherical caps, see Fig.”
• Direct Observation of Cavitation Phenomenon and Hydrodynamic Lubrication Analysis of Textured Surfaces (2012, unknown): “Similarly, Qiu and Khonsari [20] found that in mechanical seal-like structures, the JFO model could predict cavitation in dimples and give more realistic performance predictions than other models, including the Reynolds model.”
• Modelling the hydrodynamic support of cylinder bore and piston rings with laser textured surfaces (2013, methodology): “Although this cavitation model does not satisfy massconservation of the lubricant flow throughout the cavitation boundaries [27], it has been employed in several publications as a valid means for the calculation of the hydrodynamic load carrying capacity generated in textured surfaces [3,5,7,13,14].”