Optimizing dynamic range of magnetorheological fluid dampers: modeling and simulation
The viscosity of Magnetorheological (MR) fluids changes dramatically in the presence of an electric or magnetic field, leading to their being referred to as ‘smart fluids’. These fluids have important applications in the field of damping systems. The MR damper parameters are different for different...
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iium-31162011-11-04T02:40:03Z http://irep.iium.edu.my/3116/ Optimizing dynamic range of magnetorheological fluid dampers: modeling and simulation Kasemi, Banna Abdul Muthalif, Asan Gani Rashid, Muhammad Mahbubur Rahman, Mahmudur TA Engineering (General). Civil engineering (General) The viscosity of Magnetorheological (MR) fluids changes dramatically in the presence of an electric or magnetic field, leading to their being referred to as ‘smart fluids’. These fluids have important applications in the field of damping systems. The MR damper parameters are different for different application and there always exist a trade-off. The optimal values of the parameters are important in the design of MR damper for a particular application. Dynamic range is one of the key parameters of the MR fluid damper. This study presents the mathematical derivation of optimal yield stress and shear force to determine the optimal dynamic range of an MR fluid damper. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/3116/1/ICOM11-Optimizing_Dynamic_Range_of_Magnetorheological.pdf Kasemi, Banna and Abdul Muthalif, Asan Gani and Rashid, Muhammad Mahbubur and Rahman, Mahmudur (2011) Optimizing dynamic range of magnetorheological fluid dampers: modeling and simulation. In: 4th International Conference on Mechatronics (ICOM) , 17-19 May, 2011 , Kuala Lumpur. http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5937187&queryText%3DOptimizing+dynamic+range+of+magnetorheological+fluid+dampers%3A+modeling+and+simulation%26openedRefinements%3D*%26filter%3DAND%28NOT%284283010803%29%29%26searchField%3DSea |
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English |
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TA Engineering (General). Civil engineering (General) |
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TA Engineering (General). Civil engineering (General) Kasemi, Banna Abdul Muthalif, Asan Gani Rashid, Muhammad Mahbubur Rahman, Mahmudur Optimizing dynamic range of magnetorheological fluid dampers: modeling and simulation |
description |
The viscosity of Magnetorheological (MR) fluids changes dramatically in the presence of an electric or magnetic field, leading to their being referred to as ‘smart fluids’. These fluids have important applications in the field of damping systems. The MR damper parameters are different for different application and there always exist a trade-off. The optimal values of the parameters are important in the design of MR damper for a particular application. Dynamic range is one of the key parameters of the MR fluid damper. This study presents the mathematical derivation of optimal yield stress and shear force to determine the optimal dynamic range of an MR fluid damper. |
format |
Conference or Workshop Item |
author |
Kasemi, Banna Abdul Muthalif, Asan Gani Rashid, Muhammad Mahbubur Rahman, Mahmudur |
author_facet |
Kasemi, Banna Abdul Muthalif, Asan Gani Rashid, Muhammad Mahbubur Rahman, Mahmudur |
author_sort |
Kasemi, Banna |
title |
Optimizing dynamic range of magnetorheological fluid dampers: modeling and simulation |
title_short |
Optimizing dynamic range of magnetorheological fluid dampers: modeling and simulation |
title_full |
Optimizing dynamic range of magnetorheological fluid dampers: modeling and simulation |
title_fullStr |
Optimizing dynamic range of magnetorheological fluid dampers: modeling and simulation |
title_full_unstemmed |
Optimizing dynamic range of magnetorheological fluid dampers: modeling and simulation |
title_sort |
optimizing dynamic range of magnetorheological fluid dampers: modeling and simulation |
publishDate |
2011 |
url |
http://irep.iium.edu.my/3116/ http://irep.iium.edu.my/3116/ http://irep.iium.edu.my/3116/1/ICOM11-Optimizing_Dynamic_Range_of_Magnetorheological.pdf |
first_indexed |
2023-09-18T20:10:48Z |
last_indexed |
2023-09-18T20:10:48Z |
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1777407464796323840 |