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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| Format: | Article |
| Language: | en |
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Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM)
2018
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| Online Access: | https://ir.uitm.edu.my/id/eprint/41736/1/41736.pdf https://ir.uitm.edu.my/id/eprint/41736/ |
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| 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. |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.uitm.ir-41736 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2018 |
| publisher | Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) |
| record_format | eprints |
| spelling | my.uitm.ir-417362021-06-10T04:47:18Z https://ir.uitm.edu.my/id/eprint/41736/ Experimental analysis of racing car chassis for Modal Identification / M. N. Aizat Zainal ...[et al.] jmeche 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 https://ir.uitm.edu.my/id/eprint/41736/1/41736.pdf Experimental analysis of racing car chassis for Modal Identification / M. N. Aizat Zainal ...[et al.]. (2018) Journal of Mechanical Engineering (JMechE) <https://ir.uitm.edu.my/view/publication/Journal_of_Mechanical_Engineering_=28JMechE=29/>, SI 7 (1). pp. 203-216. ISSN 18235514 (Submitted) |
| 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.] |
| title | 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_short | 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.] |
| topic | Transportation engineering Automation TJ Mechanical engineering and machinery |
| url | https://ir.uitm.edu.my/id/eprint/41736/1/41736.pdf https://ir.uitm.edu.my/id/eprint/41736/ |
| url_provider | http://ir.uitm.edu.my/ |