F 1 2014 : Turbocharged and Downsized Ice and Kers Boost
The paper discusses the FIA’s World Motor Sport Council (WMSC) new regulations for F1 power trains. The new regulations will see the 2.4 liter V8s currently used replaced by 1.6 liter V6s engines starting in 2014. The power units will have high pressure gasoline direct injection up to 500 bar. Engine speed limits on the new engines will be reduced from the current 18,000 rpm to a maximum of 15,000 rpm. The more environmentally-friendly units will be supported by augmented power output of the engine via energymanagement and energy-recovery systems. The paper discusses the possible performances the novel F1 cars could achieve with these novel engines and kinetic energy recovery systems, as well as the declared goal of making the F1 racing greener, the relevance of F1 to road cars, and finally the use of resource restrictions in F1. The major issue with new F1 rules is not just the total cost of research and development within the budget, but the ability to make the most out of the investment made for a more sustainable and greener road transport. The proposed high torque 475 kW 1.6 liter V6 turbo engine coupled with the proposed small 0.3 MJ 120 kW mechanical KERS may permit fuel savings of 40% vs. today’s low torque 525 kW 2.4 liters V8 naturally aspirated and even better driving performances on the most part of the race tracks.
Numerical simulation of a 2018 F1 car cooling system for Silverstone Circuit
The thermal management of a Formula 1 car is a challenging task as it involves multiple components, systems and multiple sources of thermal energy. The present work attempts to model a representative F1 car following 2018 F1 regulations directly linked to the cooling systems requirements and performance. The main purpose of this work is to simulate the steady and transient behaviour of the cooling system when the vehicle is in a qualifying lap, and during the entire race, including the wait in the starting grid and the pit stops. This model includes the sub-models representing internal combustion engine, hybrid powertrain, vehicle, driver and an appropriate cooling system composed of radiators, pumps and expansion tanks. This work validates the cooling system of a representative 2018 F1 car for the Silverstone Circuit. This model is capable of simulating the overall thermal performance of the F1 car for sizing the cooling system for most of the F1 circuits. This paper presents a systematic approach followed for modelling a representative F1 car based on 2018 regulations, methods used for deriving appropriate data from various sources, approach used for validating the model and finally the strengths of the validated model for sizing the cooling system.
Thermally Induced Dynamics of Satellite Solar Panels
Thermally induced structural motions are known to affect the attitude dynamics of low Earth orbiting satellites during eclipse transitions. Motions of e exible appendages such as solar panels lead to rigid body rotations of the entire satellite because the total angular momentum of the system is conserved. These potentially large attitude disturbances may violate pointing accuracy and jitter requirements. One type of thermally induced dynamics exhibited by solar panels is thermal snap. The Upper Atmosphere Research Satellite is a prominent example of a satellite that experiences thermal snap disturbances during eclipse transitions. This paper describes recent studies of thermally induced dynamicsof solarpanels, including an analysisofsatelliteattitudedynamics resulting from thermally induced structural motions and a laboratory investigation of the thermal-structural performance of a satellite solar panel. Analytical and experimental results demonstrate thermal bending deformations with acceleration transients that have characteristic thermal snap disturbance histories in response to rapid changes in heating. The studies show that solar panel thermal snap disturbances are caused by through-the-thickness temperature differences that vary at a nonconstant rate. Finite element analysis correctly predicts the thermal snap phenomenon observed in the solar panel experiments.