Experimental Study Of Race Car Aerofoil
Atul Kumar
, Partik Vashist
aerodynamic influence, motor, tyres, chassis, lane, aerodynamics
A race car's aerofoil performance is largely wing-based, creating the down force necessary for the car's overall efficiency. Racing vehicle performance depends on elements such as motor, tyres, chassis, lane, aerodynamics, and often driver. In recent years, vehicle aerodynamics increased interest, primarily due to the usage of the negative lift / down force theory, producing some major improvements in overall performance. For a moment, this study discusses the importance of aerofoil down force and how it increases car performance. The inverse modelling approach utilises Newton iterations to agree on the optimal solution depending on multiple constraints. In this analysis, additional restrictions on trailing edge bluntness (as required by most motorsport governing bodies) and leading edge radius were used in the design in addition to normal airfoil requirements such as thickness, camber, and pitching moment. Depending on the stated restrictions, the inverse modelling code produces airfoil forms matching the defined velocity profile. In the second stage, the XFOIL (single element) and MSES (multi-element) codes were used to provide viscous predictions for the aerofoil constructed using PROFOIL. These codes allowed rapid aerofoil analysis at several angles of attack, Reynolds numbers, and multiple flap configurations. Wind tunnel modelling and CFD simulations were used to corroborate the effects of optimised airfoil design.
"Experimental Study Of Race Car Aerofoil", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 9, page no.144 - 147, September-2020, Available :https://ijsdr.org/papers/IJSDR2009022.pdf
Volume 5
Issue 9,
September-2020
Pages : 144 - 147
Paper Reg. ID: IJSDR_192447
Published Paper Id: IJSDR2009022
Downloads: 000347185
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
