A new rheological model of magnetorheological fluids for CFD: Comparison and validation

Muaz Kemerli, Tahsin Engin, Zekeriya Parlak

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

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 languageEnglish
Title of host publicationMechanics and Behavior of Active Materials; Structural Health Monitoring; Bioinspired Smart Materials and Systems; Energy Harvesting; Emerging Technologies
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791851951
DOIs
Publication statusPublished - 2018
Externally publishedYes
EventASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2018 - San Antonio, United States
Duration: 10 Sept 201812 Sept 2018

Publication series

NameASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2018
Volume2

Conference

ConferenceASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2018
Country/TerritoryUnited States
CitySan Antonio
Period10/09/1812/09/18

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.

FundersFunder number
SAU Bilimsel Arastirma Projeleri
Sakarya University Scientific Research Projects Commission
TUBITAK
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu115M363
Sakarya Üniversitesi

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