Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/106971
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTai, Kangen
dc.contributor.authorRaj, Varunen
dc.contributor.authorSingru, Pravinen
dc.contributor.authorRaizada, Ayushen
dc.contributor.authorKrishnakumar, Vishnuvardhanen
dc.contributor.authorGarg, Akhilen
dc.date.accessioned2019-06-28T03:47:28Zen
dc.date.accessioned2019-12-06T22:22:07Z-
dc.date.available2019-06-28T03:47:28Zen
dc.date.available2019-12-06T22:22:07Z-
dc.date.issued2017en
dc.identifier.citationSingru, P., Raizada, A., Krishnakumar, V., Garg, A., Tai, K., & Raj, V. (2017). Modeling of a magneto-rheological (MR) damper using genetic programming. Journal of Vibroengineering, 19(5), 3169-3177. doi:10.21595/jve.2017.17828en
dc.identifier.issn1392-8716en
dc.identifier.urihttps://hdl.handle.net/10356/106971-
dc.description.abstractThis paper is based on the experimental study for design and control of vibrations in automotive vehicles. The objective of this paper is to develop a model for the highly nonlinear Magneto-Rheological (MR) damper to maximize passenger comfort in an automotive vehicle. The behavior of the MR damper is studied under different loading conditions and current values in the system. The input and output parameters of the system are used as a training data to develop a suitable model using Genetic Algorithm. To generate the training data, a test rig similar to a quarter car model was fabricated to load the MR damper with a mechanical shaker to excite it externally. With the help of the test rig the input and output parameter data points are acquired by measuring the acceleration and force of the system at different points with the help of an impedance head and accelerometers. The model is validated by measuring the error for the testing and validation data points. The output of the model is the optimum current that is supplied to the MR Damper, using a controller, to increase the passenger comfort by minimizing the amplitude of vibrations transmitted to the passenger. Besides using this model for cars, bikes and other automotive vehicles it can also be modified by re-training the algorithm and used for civil structures to make them earthquake resistant.en
dc.format.extent9 p.en
dc.language.isoenen
dc.relation.ispartofseriesJournal of Vibroengineeringen
dc.rights© 2017 JVE International Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.subjectEngineering::Mechanical engineeringen
dc.subjectMR Damperen
dc.subjectGenetic Programmingen
dc.titleModeling of a magneto-rheological (MR) damper using genetic programmingen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen
dc.identifier.doi10.21595/jve.2017.17828en
dc.description.versionPublished versionen
item.grantfulltextopen-
item.fulltextWith Fulltext-
Appears in Collections:MAE Journal Articles
Files in This Item:
File Description SizeFormat 
Modeling of a magneto-rheological (MR) damper.pdf1.4 MBAdobe PDFThumbnail
View/Open

SCOPUSTM   
Citations 50

6
Updated on Feb 19, 2024

Web of ScienceTM
Citations 50

5
Updated on Oct 24, 2023

Page view(s)

268
Updated on Feb 27, 2024

Download(s) 50

76
Updated on Feb 27, 2024

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.