Experimental analysis of racing car chassis for Modal Identification / M. N. Aizat Zainal ...[et al.]

Racing car chassis is a complex structure fabricated to suit highly demanding racing specifications. Its vibration modes range from a very low to high frequencies and need to be determined in order to ensure optimum performance. The purpose of this study is to determine modal parameters (e.g., natu...

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Main Authors: Aizat Zainal, M. N., Anuar, M. Azhan, Mat Isa, A.A, Adenan, M. Shahriman
Format: Article
Language:English
Published: Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2018
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Online Access:http://ir.uitm.edu.my/id/eprint/41736/1/41736.pdf
http://ir.uitm.edu.my/id/eprint/41736/
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Institution: Universiti Teknologi Mara
Language: English
id my.uitm.ir.41736
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spelling my.uitm.ir.417362021-06-10T04:47:18Z http://ir.uitm.edu.my/id/eprint/41736/ Experimental analysis of racing car chassis for Modal Identification / M. N. Aizat Zainal ...[et al.] Aizat Zainal, M. N. Anuar, M. Azhan Mat Isa, A.A Adenan, M. Shahriman Transportation engineering Automation TJ Mechanical engineering and machinery Racing car chassis is a complex structure fabricated to suit highly demanding racing specifications. Its vibration modes range from a very low to high frequencies and need to be determined in order to ensure optimum performance. The purpose of this study is to determine modal parameters (e.g., natural frequencies and mode shapes) of a racing car chassis using Operational Modal Analysis (OMA). OMA is an experimental technique that applies random excitation while measuring only output response. Initially, the natural frequencies and mode shapes of chassis structure are determined from non-parametric OMA technique which is Frequency Domain Decomposition (FDD). Frequency Response Function (FRF) plots are then obtained from Experimental Modal Analysis (EMA) technique. Results from both FDD and EMA are validated and compared to ensure that FDD result can be further used in OMA methods of analysis. Only two out of four identification algorithms in parametric OMA techniques will be applied, namely Enhanced Frequency Domain Decomposition (EFDD) and Canonical Variant Analysis of Covariance-driven Stochastic Subspace Identification (SSI-CVA) methods. Finally, the natural frequencies and mode shapes obtained from each OMA techniques will be compared, discussed and concluded. The results from this study can be utilized to avoid resonance on chassis structures that will affect the performance of the racing car’s structure significantly. Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2018 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/41736/1/41736.pdf ID41736 Aizat Zainal, M. N. and Anuar, M. Azhan and Mat Isa, A.A and Adenan, M. Shahriman (2018) Experimental analysis of racing car chassis for Modal Identification / M. N. Aizat Zainal ...[et al.]. Journal of Mechanical Engineering (JMechE), SI 7 (1). pp. 203-216. ISSN 18235514 (Submitted)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Transportation engineering
Automation
TJ Mechanical engineering and machinery
spellingShingle Transportation engineering
Automation
TJ Mechanical engineering and machinery
Aizat Zainal, M. N.
Anuar, M. Azhan
Mat Isa, A.A
Adenan, M. Shahriman
Experimental analysis of racing car chassis for Modal Identification / M. N. Aizat Zainal ...[et al.]
description Racing car chassis is a complex structure fabricated to suit highly demanding racing specifications. Its vibration modes range from a very low to high frequencies and need to be determined in order to ensure optimum performance. The purpose of this study is to determine modal parameters (e.g., natural frequencies and mode shapes) of a racing car chassis using Operational Modal Analysis (OMA). OMA is an experimental technique that applies random excitation while measuring only output response. Initially, the natural frequencies and mode shapes of chassis structure are determined from non-parametric OMA technique which is Frequency Domain Decomposition (FDD). Frequency Response Function (FRF) plots are then obtained from Experimental Modal Analysis (EMA) technique. Results from both FDD and EMA are validated and compared to ensure that FDD result can be further used in OMA methods of analysis. Only two out of four identification algorithms in parametric OMA techniques will be applied, namely Enhanced Frequency Domain Decomposition (EFDD) and Canonical Variant Analysis of Covariance-driven Stochastic Subspace Identification (SSI-CVA) methods. Finally, the natural frequencies and mode shapes obtained from each OMA techniques will be compared, discussed and concluded. The results from this study can be utilized to avoid resonance on chassis structures that will affect the performance of the racing car’s structure significantly.
format Article
author Aizat Zainal, M. N.
Anuar, M. Azhan
Mat Isa, A.A
Adenan, M. Shahriman
author_facet Aizat Zainal, M. N.
Anuar, M. Azhan
Mat Isa, A.A
Adenan, M. Shahriman
author_sort Aizat Zainal, M. N.
title Experimental analysis of racing car chassis for Modal Identification / M. N. Aizat Zainal ...[et al.]
title_short Experimental analysis of racing car chassis for Modal Identification / M. N. Aizat Zainal ...[et al.]
title_full Experimental analysis of racing car chassis for Modal Identification / M. N. Aizat Zainal ...[et al.]
title_fullStr Experimental analysis of racing car chassis for Modal Identification / M. N. Aizat Zainal ...[et al.]
title_full_unstemmed Experimental analysis of racing car chassis for Modal Identification / M. N. Aizat Zainal ...[et al.]
title_sort experimental analysis of racing car chassis for modal identification / m. n. aizat zainal ...[et al.]
publisher Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM)
publishDate 2018
url http://ir.uitm.edu.my/id/eprint/41736/1/41736.pdf
http://ir.uitm.edu.my/id/eprint/41736/
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