journal article·2018-10-30Open access

Predicting the thermal sensitivity of MR damper performance based on thermo-rheological properties

Dipal M Patel, Ramesh V Upadhyay

Materials Research Express· Volume 6· Issue 1

Abstract

One factor which needs to be addressed in magnetorheological (MR) fluid device is operational stability under a given environmental condition and/or localized viscous heating within a device. So, one need to study thermal effects on MR fluids and its influence on performance of MR fluid devices. The aim the present paper is to predict the thermal stability of MR fluid device performance, based on the thermo-rheological properties. The MR fluid is synthesized using flake shape iron particles and its rheological study is carried out in the absence and presence of field using a magneto—rheometer. The thermo-rheology was studied and sensitivity was derived. This fluid is tested for its damper performance in the designed and fabricated flow mode damper. The thermo-sensitivity of the damper is studied and compared with rheological properties. It is suggested that one can predict the damper temperature dependent performance based on the thermo-rheological results.
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Research context

OpenAlex topics: Vibration Control and Rheological Fluids · Seismic Performance and Analysis · Structural Engineering and Vibration Analysis

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References (40)

Show source-provided references
1. 10.1007/BF0036899310.1007/BF00368993 ↗
2. 10.1007/s00397005019810.1007/s003970050198 ↗
3. 10.1063/1.37222910.1063/1.372229 ↗
4. 10.1016/j.jmmm.2004.04.04010.1016/j.jmmm.2004.04.040 ↗
5. 10.1177/1045389X1244729310.1177/1045389X12447293 ↗
6. Wu W P · Smart Mater. Struct. · 2006 · 15 · N9410.1088/0964-1726/15/4/N04 ↗
7. Ha S H · Smart Mater. Struct. · 2013 · 22 · 6500610.1088/0964-1726/22/6/065006 ↗
8. 10.1177/1045389X990100010210.1177/1045389X9901000102 ↗
9. 10.1039/c0sm00014k10.1039/c0sm00014k ↗
10. 10.1016/S1471-3918(01)80040-X10.1016/S1471-3918(01)80040-X ↗
11. 10.1243/146442001154501210.1243/1464420011545012 ↗
12. 10.1108/0260228041051584210.1108/02602280410515842 ↗
13. Liu B · Smart Mater. Struct. · 2006 · 15 · 196010.1088/0964-1726/15/6/052 ↗
14. Chen P · Smart Mater. Struct. · 2016 · 25 · 5500210.1088/0964-1726/25/5/055002 ↗
15. 10.1201/b1305010.1201/b13050 ↗
16. Park J · Smart Mater. Struct. · 2016 · 25 · 8500910.1088/0964-1726/25/8/085009 ↗
17. 10.1177/1045389X0708313910.1177/1045389X07083139 ↗
18. Jain V K · Introduction to Micromachining · 2010
19. 10.1016/j.ijmachtools.2010.12.00210.1016/j.ijmachtools.2010.12.002 ↗
20. Khonsari M M · Applied Tribology, Bearing Design and Lubrication · 2001
21. 10.2118/105400-MS10.2118/105400-MS ↗
22. Bhavsar R · Oilf Rev. · 2008 · 20 · 32
23. 10.1061/(ASCE)1084-0702(2007)12:4(401)10.1061/(ASCE)1084-0702(2007)12:4(401) ↗
24. 10.1016/j.powtec.2017.08.06510.1016/j.powtec.2017.08.065 ↗
25. 10.1016/j.jiec.2016.12.03210.1016/j.jiec.2016.12.032 ↗
26. Guangshuo W · Smart Mater. Struct. · 2016 · 25
27. 10.1142/S021797920201290610.1142/S0217979202012906 ↗
28. 10.1177/1045389X0935160810.1177/1045389X09351608 ↗
29. 10.1142/S021797929400127510.1142/S0217979294001275 ↗
30. 10.1177/1045389X1559027110.1177/1045389X15590271 ↗
31. 10.1063/1.497722610.1063/1.4977226 ↗
32. 10.1177/1045389X0809382410.1177/1045389X08093824 ↗
33. 10.1039/c0sm01221a10.1039/c0sm01221a ↗
34. Upadhyay R V · Smart Mater. Struct. · 2013 · 23 · 1500210.1088/0964-1726/23/1/015002 ↗
35. Wereley N M · Smart Mater. Struct. · 2007 · 17 · 1502210.1088/0964-1726/17/01/015022 ↗
36. Laherisheth Z · Smart Mater. Struct. · 2017 · 26 · 5400810.1088/1361-665X/aa54a1 ↗
37. 10.1098/rspa.1971.004410.1098/rspa.1971.0044 ↗
38. 10.1007/s00397-013-0708-410.1007/s00397-013-0708-4 ↗
39. Li Z C · Smart Mater. Struct. · 2012 · 21
40. Singh H J · Smart Mater. Struct. · 2014 · 23