TY - GEN
T1 - An iterative design methodology for the performance optimisation of magnetorheological piston head configurations
AU - Dominguez, Gonzalo Aguirre
AU - Kamezaki, Mitsuhiro
AU - French, Morgan
AU - Sugano, Shigeki
N1 - Funding Information:
This work was supported by the Program for Leading Graduate Schools, Graduate Program for Embodiment Informatics of the MEXT, Strategic Advancement of Multipurpose Ultra-human Robot and Artificial Intelligence Technologies (SAMURAI), the New Energy and Industrial Technology Development Organization (NEDO), JSPS KAKENHI Grant No. 26870656 and 25220005, and the Research Institute for Science and Eng., Waseda University
Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/26
Y1 - 2016/9/26
N2 - This work focuses on the analysis of the performance parameters of a new magneto-rheological device. Previously, a mathematical model of the actuator head was introduced; however, the complex relations between its parameters made its optimisation challenging, causing the device not to reach its full potential. In this work, the previous model is updated to fit a revised version of the toroidal design, as well as an annular design for comparison. The relations between different parameters are studied to find their trade-offs, and understand how they affect the performance of the actuators. Finally, an optimisation based on an iterative search for valid permutations of parameters, is used to find optimal combinations. Two prototypes are built and tested to validate the results of the optimisation. The study revealed the critical parameters of each design, which mostly depend on the relations between the magnetic flux density, and the active area exposed to the MRF; and successfully optimised the performance of the devices. However, work needs to be done to create a more complete tool with concrete guidelines for specific applications.
AB - This work focuses on the analysis of the performance parameters of a new magneto-rheological device. Previously, a mathematical model of the actuator head was introduced; however, the complex relations between its parameters made its optimisation challenging, causing the device not to reach its full potential. In this work, the previous model is updated to fit a revised version of the toroidal design, as well as an annular design for comparison. The relations between different parameters are studied to find their trade-offs, and understand how they affect the performance of the actuators. Finally, an optimisation based on an iterative search for valid permutations of parameters, is used to find optimal combinations. Two prototypes are built and tested to validate the results of the optimisation. The study revealed the critical parameters of each design, which mostly depend on the relations between the magnetic flux density, and the active area exposed to the MRF; and successfully optimised the performance of the devices. However, work needs to be done to create a more complete tool with concrete guidelines for specific applications.
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U2 - 10.1109/AIM.2016.7576771
DO - 10.1109/AIM.2016.7576771
M3 - Conference contribution
AN - SCOPUS:84992391857
T3 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
SP - 228
EP - 233
BT - 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016
Y2 - 12 July 2016 through 15 July 2016
ER -