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Reducing exhaust emissions has been a major focus of research for a number of years since internal combustion engines (ICE) contribute to a large number of harmful particles entering the environment. As a way of reducing emissions and helping to tackle climate change, many countries are announcing that they will ban the sale of new ICE vehicles soon. Electrical vehicles (EVs) represent a popular alternative vehicle propulsion system. However, although they produce zero exhaust emissions, there is still concern regarding non-exhaust emission, such as brake dust, which can potentially cause harm to human health and the environment. Despite EVs primarily using regenerative braking, they still require friction brakes as a backup as and when required. Moreover, most EVs continue to use the traditional grey cast iron (GCI) brake rotor, which is heavy and prone to corrosion, potentially exacerbating brake wear emissions.

Brake squeal has been found to be related to varying temperatures. In order to investigate this problem, the finite element method is applied to a disc brake system. Thermal analysis is incorporated to assist complex eigenvalue analysis to extract unstable modes which may contribute to squealing phenomena over a series of discrete temperatures. The SAE J2521 test sequence is simulated to predict the temperature variations on the whole three dimensional geometry of the brake pads and the disc, during the prescribed drag braking situations. This coupled thermal structural analysis considers different stages of the drag brake event, particularly the difference in the temperature distribution and consequent contact status during the heating and cooling stages. The coupled analysis leads to the prediction of squealing instability measures and frequency spectra.

This paper describes the integration of a selection of techniques which can be used to design complex mechanical systems such as racing car suspensions. It covers aspects of their dynamic and static design with particular reference to system analysis, the theory of which is described within. Furthermore, the designs are evaluated using sophisticated data logging and kinematics and compliance rig tests to assess the manufactured design's performance. The optimisation of racetrack behaviour is then described using vehicle dynamics simulation to predict how performance improvements can be achieved quickly. The examples given relate to on going work on the University of Leeds Formula SAE Racing Car.