Back to Search Start Over

High-performance magneto-rheological clutches for direct-drive actuation: Design and development.

Authors :
Pisetskiy, Sergey
Kermani, Mehrdad
Source :
Journal of Intelligent Material Systems & Structures; Dec2021, Vol. 32 Issue 20, p2582-2600, 19p
Publication Year :
2021

Abstract

This paper presents an improved design, complete analysis, and prototype development of high torque-to-mass ratio Magneto-Rheological (MR) clutches. The proposed MR clutches are intended as the main actuation mechanism of a robotic manipulator with five degrees of freedom. Multiple steps to increase the toque-to-mass ratio of the clutch are evaluated and implemented in one design. First, we focus on the Hall sensors' configuration. Our proposed MR clutches feature embedded Hall sensors for the indirect torque measurement. A new arrangement of the sensors with no effect on the magnetic reluctance of the clutch is presented. Second, we improve the magnetization of the MR clutch. We utilize a new hybrid design that features a combination of an electromagnetic coil and a permanent magnet for improved torque-to-mass ratio. Third, the gap size reduction in the hybrid MR clutch is introduced and the effect of such reduction on maximum torque and the dynamic range of MR clutch is investigated. Finally, the design for a pair of MR clutches with a shared magnetic core for antagonistic actuation of the robot joint is presented and experimentally validated. The details of each approach are discussed and the results of the finite element analysis are used to highlight the required engineering steps and to demonstrate the improvements achieved. Using the proposed design, several prototypes of the MR clutch with various torque capacities ranging from 15 to 200 N·m are developed, assembled, and tested. The experimental results demonstrate the performance of the proposed design and validate the accuracy of the analysis used for the development. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1045389X
Volume :
32
Issue :
20
Database :
Complementary Index
Journal :
Journal of Intelligent Material Systems & Structures
Publication Type :
Academic Journal
Accession number :
153431539
Full Text :
https://doi.org/10.1177/1045389X211006902