Optimizing surface texture for hydrodynamic lubricated contacts using a mass-conserving numerical approach

By M. Dobrica, M. Fillon, M. Pascovici, T. Cicone. 2010

208 citations recorded by the source corpus.

Subfields: Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/86b0fa76d0f2755d491f2d1e82e39da6e13a8f8c

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. F. Profito
2. P. Grützmacher
3. Ling Wang
4. Daniel Gropper
5. A. Rosenkranz
6. Terry J. Harvey

Citations in the corpus

• Hydrodynamic lubrication of textured surfaces: A review of modeling techniques and key findings (2016, methodology): “…ρ texture Brizmer et al. [19] 1 6 0 % – 1:25 max Rahmani et al. [88] 1 54…57% – 0:58 max Pascovici et al. [89] 1 50…62% – 0:5…0:9 max Dobrica et al. [10] 1 – 100% – max Guzek et al. [91] 1 6 0 …70% – 0:68…0:9 max Gherca et al. [92] 0:6 2 0 …40% 100% – max Marian et al. [94] % 1 5 0 % 90…100% 1 –…”
• Multi-Scale Surface Texturing in Tribology—Current Knowledge and Future Perspectives (2019, background): “, texture depth, width, and density) may lead to detrimental effects due to the excessive increase of the cavitation zones, which may reduce the local film thickness and the load carrying capacity [31].”