0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessUnder the same excitation, the multi-drum magnetorheological brake has a nonuniform distribution of flux density over fluid gaps. Each fluid gap has its own flux density and shear area. Therefore, the number of drums and the fluid gap selection in optimization are two important parameters to be considered in a multi-drum brake design. When a fluid gap is selected in optimization, the brake is optimized to reach the maximum required flux density over this gap. This article focuses on evaluating the influence of these two parameters on the performance of the multi-drum brake. According to the number of drums and the fluid gap selection in optimization, the brakes were marked and optimized via finite element analysis. After all optimal designs were obtained, the performance in terms of torque, volume, mass, and power consumption as well as the torque–volume, torque–mass, and torque–power ratios were calculated and compared. Based on the evaluation results, suggestions on the number of drums and the fluid gap selection in optimization are given.
Huanhuan Qin, Aiguo Song, Yiting Mo (2019). Evaluation of a multi-drum magnetorheological brake via finite element analysis considering number of drums and fluid gap selection in optimization. , 30(5), DOI: https://doi.org/10.1177/1045389x19828517.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2019
Authors
3
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1177/1045389x19828517
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access