Abstract
Magnetorheological fluid is a special smart fluid which can show different rheological properties under different magnetic flux densities due to its magnetically sensitive structure. This makes the fluid able to be manipulated and semi-actively controlled for various applications such as dampers, clutches and brakes. To provide an effective damping it is necessary to create an appropriate control algorithm. In order to design a structure with magnetorheological fluid and to get an idea for a control approach, the physics of the fluid motion has to be modelled. Computational Fluid Dynamics is an effective tool to model any fluid behaviour or any fluid involved structure. For magnetorheological devices, despite number of numerical models available in the literature, a befitting model is not yet presented. In this study a mapped rheological model is proposed and used in a magnetorheological damper simulation. The results are compared with other models and experimental data. It is shown that the new mapped model is effective and better than old approaches. It also showed a good agreement with the experimental data.
Original language | English |
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Title of host publication | Mechanics and Behavior of Active Materials; Structural Health Monitoring; Bioinspired Smart Materials and Systems; Energy Harvesting; Emerging Technologies |
Publisher | American Society of Mechanical Engineers (ASME) |
ISBN (Electronic) | 9780791851951 |
DOIs | |
Publication status | Published - 2018 |
Externally published | Yes |
Event | ASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2018 - San Antonio, United States Duration: 10 Sept 2018 → 12 Sept 2018 |
Publication series
Name | ASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2018 |
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Volume | 2 |
Conference
Conference | ASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2018 |
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Country/Territory | United States |
City | San Antonio |
Period | 10/09/18 → 12/09/18 |
Bibliographical note
Publisher Copyright:Copyright © 2018 ASME.
Funding
The authors gratefully acknowledge TUBITAK for making this project possible under Grant No: 115M363 The authors acknowledge Sakarya University Scientific Research Projects Commission (SAU Bilimsel Arastirma Projeleri) for making this project possible.
Funders | Funder number |
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SAU Bilimsel Arastirma Projeleri | |
Sakarya University Scientific Research Projects Commission | |
TUBITAK | |
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu | 115M363 |
Sakarya Üniversitesi |