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Constitutive models of magnetorheological fluids having temperature-dependent prediction parameter

This work presents constitutive models of magnetorheological (MR) fluids, which can predict the shear and dynamic yield stress depending on temperature. Two existing models, the Herschel-Bulkley rheological and power law model, which are frequently used in MR fluid research, are adopted and modified...

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Main Authors: Bahiuddin, Bahiuddin, Mazlan, S. A., Shapiai, Shapiai, Imaduddin, F., Ubaidillah, Ubaidillah, Choi, Seung Bok
Format: Article
Published: Institute of Physics Publishing 2018
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/84542/
http://dx.doi.org/10.1088/1361-665X/aac237
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spelling my.utm.845422020-01-11T07:32:30Z http://eprints.utm.my/id/eprint/84542/ Constitutive models of magnetorheological fluids having temperature-dependent prediction parameter Bahiuddin, Bahiuddin Mazlan, S. A. Shapiai, Shapiai Imaduddin, F. Ubaidillah, Ubaidillah Choi, Seung Bok T Technology (General) This work presents constitutive models of magnetorheological (MR) fluids, which can predict the shear and dynamic yield stress depending on temperature. Two existing models, the Herschel-Bulkley rheological and power law model, which are frequently used in MR fluid research, are adopted and modified to take the temperature into account. A new constitutive model of MR fluids is developed using the extreme learning machine (ELM) method. In this development, among many machine learning approaches, a simple and efficient learning algorithm for a single hidden layer feed-forward neural network (SLFN) is adopted and applied to the rheological model of MR fluids. The temperature, shear rate, and magnetic field are treated as inputs, and the shear stress is taken as an output. After formulating the models associated with experimental coefficients, the two most important properties of MR fluids; the shear and yield stress are predicted and compared with the measured values. The prediction accuracy for the field-dependent rheological properties of MR fluids in several different temperatures is evaluated and compared. It is shown that the ELM model developed in this work provides the best accuracy, followed by two other modified constitutive equations. Institute of Physics Publishing 2018-07 Article PeerReviewed Bahiuddin, Bahiuddin and Mazlan, S. A. and Shapiai, Shapiai and Imaduddin, F. and Ubaidillah, Ubaidillah and Choi, Seung Bok (2018) Constitutive models of magnetorheological fluids having temperature-dependent prediction parameter. Smart Materials and Structures, 27 (9). ISSN 0964-1726 http://dx.doi.org/10.1088/1361-665X/aac237
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology (General)
spellingShingle T Technology (General)
Bahiuddin, Bahiuddin
Mazlan, S. A.
Shapiai, Shapiai
Imaduddin, F.
Ubaidillah, Ubaidillah
Choi, Seung Bok
Constitutive models of magnetorheological fluids having temperature-dependent prediction parameter
description This work presents constitutive models of magnetorheological (MR) fluids, which can predict the shear and dynamic yield stress depending on temperature. Two existing models, the Herschel-Bulkley rheological and power law model, which are frequently used in MR fluid research, are adopted and modified to take the temperature into account. A new constitutive model of MR fluids is developed using the extreme learning machine (ELM) method. In this development, among many machine learning approaches, a simple and efficient learning algorithm for a single hidden layer feed-forward neural network (SLFN) is adopted and applied to the rheological model of MR fluids. The temperature, shear rate, and magnetic field are treated as inputs, and the shear stress is taken as an output. After formulating the models associated with experimental coefficients, the two most important properties of MR fluids; the shear and yield stress are predicted and compared with the measured values. The prediction accuracy for the field-dependent rheological properties of MR fluids in several different temperatures is evaluated and compared. It is shown that the ELM model developed in this work provides the best accuracy, followed by two other modified constitutive equations.
format Article
author Bahiuddin, Bahiuddin
Mazlan, S. A.
Shapiai, Shapiai
Imaduddin, F.
Ubaidillah, Ubaidillah
Choi, Seung Bok
author_facet Bahiuddin, Bahiuddin
Mazlan, S. A.
Shapiai, Shapiai
Imaduddin, F.
Ubaidillah, Ubaidillah
Choi, Seung Bok
author_sort Bahiuddin, Bahiuddin
title Constitutive models of magnetorheological fluids having temperature-dependent prediction parameter
title_short Constitutive models of magnetorheological fluids having temperature-dependent prediction parameter
title_full Constitutive models of magnetorheological fluids having temperature-dependent prediction parameter
title_fullStr Constitutive models of magnetorheological fluids having temperature-dependent prediction parameter
title_full_unstemmed Constitutive models of magnetorheological fluids having temperature-dependent prediction parameter
title_sort constitutive models of magnetorheological fluids having temperature-dependent prediction parameter
publisher Institute of Physics Publishing
publishDate 2018
url http://eprints.utm.my/id/eprint/84542/
http://dx.doi.org/10.1088/1361-665X/aac237
_version_ 1657487668432338944
score 13.211869

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