Analyzing and Simulating Brake Rotor Temperatures: A Technique Applied to a Formula SAE Vehicle

Heffernan, Matthew E.

doi:10.4271/2006-01-1974

Cited by 1 publication

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some works have presented Formula SAE braking development. Heffernan introduced an analytical technique for performing brake rotor temperature analysis using empirical data [8]. It can be useful to predict fading problems when the design disc brake system is developed.…”

Section: Introductionmentioning

confidence: 99%

Brake System Performance Evaluation of Formula Type Vehicle

Mestre¹,

Pironato²,

Silva³

et al. 2018

Blucher Engineering Proceedings

View full text Add to dashboard Cite

Formula Student and Formula SAE are student competitions where engineering students must develop a Formula type vehicle according to a series of rules. Regarding to the brake system, these rules determine some requirements that the cars must be in accordance. This work deals with a performance evaluation of brake system of Formula type vehicle. First, a mathematical model was developed to achieve the balance of front and rear braking forces. This model takes into account the most important vehicle parameters that influence braking performance, as well as the tire/road friction conditions. Then, the results obtained from the model were compared against experimental data. During the tests the vehicle velocity, the lateral and longitudinal vehicle acceleration and the circuit pressure to the front and rear brakes were monitored. This mathematical model will be employed to development of brake systems to be applied to Formula type vehicle. Finally, a second experimental test was employed to evaluate the brake system performance considering the vehicle operating in competition conditions. The obtained results show that the mathematical model is suitable for brake system performance prediction. Moreover, the tests results show that the brake system is suitable under competition conditions.

show abstract

Section: Introductionmentioning

confidence: 99%