Numerical estimation of the torsional stiffness characteristics on urban Shell Eco-Marathon (SEM) vehicle design

Shell Eco-Marathon (SEM) is an international competition among university students that involves designing, building, and driving energy-efficient cars. The car frame is the most crucial aspect influencing the strength of the car. This research aims to obtain maximum torsional strength with variatio...

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Main Authors: Ary, Angga Kengkongan, Sanjaya, Yuwana, Prabowo, Aditya Rio, Imaduddin, Fitrian, Nordin, Nur Azmah, Istanto, Iwan, Cho, Joung Hyung
Format: Article
Language:English
Published: De Gruyter Open Ltd 2021
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Online Access:http://eprints.utm.my/id/eprint/97953/1/NurAzmahNordin2021_NumericalEstimationOfTheTorsionalStiffnessCharacteristics.pdf
http://eprints.utm.my/id/eprint/97953/
http://dx.doi.org/10.1515/cls-2021-0016
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spelling my.utm.979532022-11-10T01:24:03Z http://eprints.utm.my/id/eprint/97953/ Numerical estimation of the torsional stiffness characteristics on urban Shell Eco-Marathon (SEM) vehicle design Ary, Angga Kengkongan Sanjaya, Yuwana Prabowo, Aditya Rio Imaduddin, Fitrian Nordin, Nur Azmah Istanto, Iwan Cho, Joung Hyung T Technology (General) Shell Eco-Marathon (SEM) is an international competition among university students that involves designing, building, and driving energy-efficient cars. The car frame is the most crucial aspect influencing the strength of the car. This research aims to obtain maximum torsional strength with variations in the material and thickness of the frame. Calculation and testing are done using the simulation method to obtain a strong car frame. This simulation method is calculated by a series of finite element analyses. Then, data from the simulation method are obtained in the form of deformation and safety factors. By comparing the moment received with its deformation, torsional stiffness is then obtained. Furthermore, the torsional stiffness is divided by the weight to produce a value ratio. It is known that the factor which has the most significant influence on the difference in torsional stiffness of each variation is the shear modulus of the material used. In contrast, the weight of the chassis is influenced by the density of the material and the thickness of the chassis. Additionally, the safety factor of each variation is strongly influenced by the strength of the chassis structure itself. The results of this study will demonstrate the car frame design with the best performance. De Gruyter Open Ltd 2021 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/97953/1/NurAzmahNordin2021_NumericalEstimationOfTheTorsionalStiffnessCharacteristics.pdf Ary, Angga Kengkongan and Sanjaya, Yuwana and Prabowo, Aditya Rio and Imaduddin, Fitrian and Nordin, Nur Azmah and Istanto, Iwan and Cho, Joung Hyung (2021) Numerical estimation of the torsional stiffness characteristics on urban Shell Eco-Marathon (SEM) vehicle design. Curved and Layered Structures, 8 (1). pp. 167-180. ISSN 2353-7396 http://dx.doi.org/10.1515/cls-2021-0016 DOI : 10.1515/cls-2021-0016
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/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Ary, Angga Kengkongan
Sanjaya, Yuwana
Prabowo, Aditya Rio
Imaduddin, Fitrian
Nordin, Nur Azmah
Istanto, Iwan
Cho, Joung Hyung
Numerical estimation of the torsional stiffness characteristics on urban Shell Eco-Marathon (SEM) vehicle design
description Shell Eco-Marathon (SEM) is an international competition among university students that involves designing, building, and driving energy-efficient cars. The car frame is the most crucial aspect influencing the strength of the car. This research aims to obtain maximum torsional strength with variations in the material and thickness of the frame. Calculation and testing are done using the simulation method to obtain a strong car frame. This simulation method is calculated by a series of finite element analyses. Then, data from the simulation method are obtained in the form of deformation and safety factors. By comparing the moment received with its deformation, torsional stiffness is then obtained. Furthermore, the torsional stiffness is divided by the weight to produce a value ratio. It is known that the factor which has the most significant influence on the difference in torsional stiffness of each variation is the shear modulus of the material used. In contrast, the weight of the chassis is influenced by the density of the material and the thickness of the chassis. Additionally, the safety factor of each variation is strongly influenced by the strength of the chassis structure itself. The results of this study will demonstrate the car frame design with the best performance.
format Article
author Ary, Angga Kengkongan
Sanjaya, Yuwana
Prabowo, Aditya Rio
Imaduddin, Fitrian
Nordin, Nur Azmah
Istanto, Iwan
Cho, Joung Hyung
author_facet Ary, Angga Kengkongan
Sanjaya, Yuwana
Prabowo, Aditya Rio
Imaduddin, Fitrian
Nordin, Nur Azmah
Istanto, Iwan
Cho, Joung Hyung
author_sort Ary, Angga Kengkongan
title Numerical estimation of the torsional stiffness characteristics on urban Shell Eco-Marathon (SEM) vehicle design
title_short Numerical estimation of the torsional stiffness characteristics on urban Shell Eco-Marathon (SEM) vehicle design
title_full Numerical estimation of the torsional stiffness characteristics on urban Shell Eco-Marathon (SEM) vehicle design
title_fullStr Numerical estimation of the torsional stiffness characteristics on urban Shell Eco-Marathon (SEM) vehicle design
title_full_unstemmed Numerical estimation of the torsional stiffness characteristics on urban Shell Eco-Marathon (SEM) vehicle design
title_sort numerical estimation of the torsional stiffness characteristics on urban shell eco-marathon (sem) vehicle design
publisher De Gruyter Open Ltd
publishDate 2021
url http://eprints.utm.my/id/eprint/97953/1/NurAzmahNordin2021_NumericalEstimationOfTheTorsionalStiffnessCharacteristics.pdf
http://eprints.utm.my/id/eprint/97953/
http://dx.doi.org/10.1515/cls-2021-0016
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score 13.18916