Load and stiffness of a hydrostatic bearing lubricated with a Bingham plastic fluid
Source abstract
Abstract
Using a smart fluid, for example, magnetorheological or electrorheological, in a hydrostatic bearing gives the possibility to actively change the bearing properties during operation. This work presents an analytical model to predict the load and stiffness of a planar hydrostatic bearing lubricated with a Bingham plastic fluid. The model is validated with the use of a numerical model that uses the Bingham–Papanastasiou regularization to achieve convergence. The model gives insight into the size of the operational range of the bearing and the load characteristic.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Tribology and Lubrication Engineering · Vibration Control and Rheological Fluids · Hydraulic and Pneumatic Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Precision and Microsystems Engineering, Delft University of Technology, Delft, The Netherlands
Funding
The Dutch TKI maritime funding program
References (41)
Show source-provided references
1. 10.1177/1045389X960070020110.1177/1045389X9600700201 ↗
2. Asma S · Smart Materials and Structures · 2016 · 25
3. 10.1109/TMAG.2012.220770710.1109/TMAG.2012.2207707 ↗
4. Bölter R · 1999
5. Bompos DA · 2015
6. 10.1016/j.simpat.2011.01.00110.1016/j.simpat.2011.01.001 ↗
7. 10.1080/10402004.2015.105013710.1080/10402004.2015.1050137 ↗
8. Chiolerio A · Advanced Science · 2017 · 410.1002/advs.201700036 ↗
9. Christidi-Loumpasefski O-O · Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics · 2017 · 232 · 153
10. 10.1016/j.jmmm.2016.07.06010.1016/j.jmmm.2016.07.060 ↗
11. 10.1016/j.jmmm.2017.07.07610.1016/j.jmmm.2017.07.076 ↗
12. 10.1016/0377-0257(92)80065-610.1016/0377-0257(92)80065-6 ↗
13. 10.1016/j.triboint.2008.03.00210.1016/j.triboint.2008.03.002 ↗
14. Guldbakke JM · 2009 · 405
15. 10.1088/0953-8984/18/38/S2910.1088/0953-8984/18/38/S29 ↗
16. Hesselbach J · 2002 · 343
17. 10.1063/1.155585010.1063/1.1555850 ↗
18. 10.1016/j.jestch.2015.03.00210.1016/j.jestch.2015.03.002 ↗
19. 10.1002/ls.137910.1002/ls.1379 ↗
20. 10.1002/ls.136410.1002/ls.1364 ↗
21. Lampaert SGE · 2017 · 94
22. Lampaert SGE · 2017 · 84
23. Lampaert SGE
24. 10.1016/j.precisioneng.2018.05.01310.1016/j.precisioneng.2018.05.013 ↗
25. 10.1177/135065011773920010.1177/1350650117739200 ↗
26. Moles N · 2015
27. 10.1016/S0301-679X(98)00025-510.1016/S0301-679X(98)00025-5 ↗
28. 10.1016/j.jnnfm.2009.06.00610.1016/j.jnnfm.2009.06.006 ↗
29. 10.1038/210613a010.1038/210613a0 ↗
30. 10.1016/S0377-0257(01)00141-010.1016/S0377-0257(01)00141-0 ↗
31. Stachowiak GW · 2014
32. 10.1179/02670830422501986710.1179/026708304225019867 ↗
33. 10.1122/1.55023110.1122/1.550231 ↗
34. 10.1088/1742-6596/149/1/01211310.1088/1742-6596/149/1/012113 ↗
35. 10.1177/1045389X0935600710.1177/1045389X09356007 ↗
36. Vaz N · Journal of Mechanical Engineering and Automation · 2017 · 7 · 131
37. 10.1299/jsme1958.16.42210.1299/jsme1958.16.422 ↗
38. 10.1299/jsme1958.16.43210.1299/jsme1958.16.432 ↗
39. 10.1299/jsme1958.17.118210.1299/jsme1958.17.1182 ↗
40. 10.1016/j.triboint.2017.04.00210.1016/j.triboint.2017.04.002 ↗
41. 10.1088/0964-1726/18/9/09501910.1088/0964-1726/18/9/095019 ↗