Computational Fluid Dynamic (CFD) Analysis to Determine Canard’s Downforce

Automotive racing is universally attributed for fast lap time at high speed in a stable car. One of the engineering fits in making this to be possible is via the incorporation of canards at the frontal section of the car which increases the downforce. Such integration of an anti-lift components has...

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Main Authors: Muhammad Izzat Nor, Ma'arof, Lavinkumaran, Puvunathan, Wan Zaiyana, Mohd Yusof, Shaheerthana, Suresh, Girma, Tadesse Chala
Format: Article
Language:English
Published: INTI International University 2020
Subjects:
Online Access:http://eprints.intimal.edu.my/1437/
http://eprints.intimal.edu.my/1437/1/ij2020_22.pdf
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author Muhammad Izzat Nor, Ma'arof
Lavinkumaran, Puvunathan
Wan Zaiyana, Mohd Yusof
Shaheerthana, Suresh
Girma, Tadesse Chala
author_facet Muhammad Izzat Nor, Ma'arof
Lavinkumaran, Puvunathan
Wan Zaiyana, Mohd Yusof
Shaheerthana, Suresh
Girma, Tadesse Chala
author_sort Muhammad Izzat Nor, Ma'arof
building INTI Institutional Repository
collection Online Access
description Automotive racing is universally attributed for fast lap time at high speed in a stable car. One of the engineering fits in making this to be possible is via the incorporation of canards at the frontal section of the car which increases the downforce. Such integration of an anti-lift components has omitted the need for electronic intervention. Based on physics, the downforce generated by a canard is directly proportional to its surface area, yet, at the expense of drag force increment. This is of course not desirable since drag force hinders for high speed of travelling. The objective of this study was to determine the downforce generated by two (2) identically designed canards though with varied surface areas via computational fluid dynamic (CFD) analysis for the Alfa Romeo 156. The comparison was made with respect to the surface area versus downforce generated. The CAD model for the canard was developed via Inventor software. Based on the literature, the canards were position at 30-degree angle of attack which is the optimal angle for a canard to function. The results showed that the canard which was 0.38% smaller has successfully generated 21.1% higher downforce and 26.76% less coefficient of lift at 100m/s in comparison to the relatively larger Design 2. Conclusively, a canard could be designed with minimal surface area, thus, with less drag; yet, still managed to provide significant downforce for added stability. For future study, the design used in this study could be used as the benchmark for further improvements.
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spelling intimal-14372024-03-18T04:26:33Z http://eprints.intimal.edu.my/1437/ Computational Fluid Dynamic (CFD) Analysis to Determine Canard’s Downforce Muhammad Izzat Nor, Ma'arof Lavinkumaran, Puvunathan Wan Zaiyana, Mohd Yusof Shaheerthana, Suresh Girma, Tadesse Chala T Technology (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Automotive racing is universally attributed for fast lap time at high speed in a stable car. One of the engineering fits in making this to be possible is via the incorporation of canards at the frontal section of the car which increases the downforce. Such integration of an anti-lift components has omitted the need for electronic intervention. Based on physics, the downforce generated by a canard is directly proportional to its surface area, yet, at the expense of drag force increment. This is of course not desirable since drag force hinders for high speed of travelling. The objective of this study was to determine the downforce generated by two (2) identically designed canards though with varied surface areas via computational fluid dynamic (CFD) analysis for the Alfa Romeo 156. The comparison was made with respect to the surface area versus downforce generated. The CAD model for the canard was developed via Inventor software. Based on the literature, the canards were position at 30-degree angle of attack which is the optimal angle for a canard to function. The results showed that the canard which was 0.38% smaller has successfully generated 21.1% higher downforce and 26.76% less coefficient of lift at 100m/s in comparison to the relatively larger Design 2. Conclusively, a canard could be designed with minimal surface area, thus, with less drag; yet, still managed to provide significant downforce for added stability. For future study, the design used in this study could be used as the benchmark for further improvements. INTI International University 2020 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1437/1/ij2020_22.pdf Muhammad Izzat Nor, Ma'arof and Lavinkumaran, Puvunathan and Wan Zaiyana, Mohd Yusof and Shaheerthana, Suresh and Girma, Tadesse Chala (2020) Computational Fluid Dynamic (CFD) Analysis to Determine Canard’s Downforce. INTI JOURNAL, 2020 (22). ISSN e2600-7320 http://intijournal.newinti.edu.my
spellingShingle T Technology (General)
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
Muhammad Izzat Nor, Ma'arof
Lavinkumaran, Puvunathan
Wan Zaiyana, Mohd Yusof
Shaheerthana, Suresh
Girma, Tadesse Chala
Computational Fluid Dynamic (CFD) Analysis to Determine Canard’s Downforce
title Computational Fluid Dynamic (CFD) Analysis to Determine Canard’s Downforce
title_full Computational Fluid Dynamic (CFD) Analysis to Determine Canard’s Downforce
title_fullStr Computational Fluid Dynamic (CFD) Analysis to Determine Canard’s Downforce
title_full_unstemmed Computational Fluid Dynamic (CFD) Analysis to Determine Canard’s Downforce
title_short Computational Fluid Dynamic (CFD) Analysis to Determine Canard’s Downforce
title_sort computational fluid dynamic (cfd) analysis to determine canard’s downforce
topic T Technology (General)
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
url http://eprints.intimal.edu.my/1437/
http://eprints.intimal.edu.my/1437/
http://eprints.intimal.edu.my/1437/1/ij2020_22.pdf