A leading Technologically advanced company named MegaRide has developed a tyre-technology named the RIDEsuite which has the ability to provide details regarding tyre and its interaction with the external environment on various levels.
MegaRide developed the RIDEsuite which comprises of four main elements that has the ability to stimulate in detail the physical effects that a vehicle goes through while interacting with the external environment: The physical thermal model "thermoRIDE" to predict, in real-time, the local temperature of tyres; the energy-based wear model "weaRIDE" to take into account and predict the degradation phenomena interesting tyre tread polymers; the multi-contact footprint envelope model "threedeeRIDE" to improve the drivers' feeling and to reproduce the ride dynamics caused by curbs, bumps and road roughness in driving sessions; the advanced interaction model "adheRIDE" to collect the information of the other Physical Models,taking into account tread wear phenomena, road roughness, compound viscoelasticity and grip/temperature/pressure.
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The MegaRide RIDEsuite tyre-technology has the ability to monitor real-time multi-variable optimization procedures to be able to rely on and increase the durability and usefulness of a motorsport vehicle. Usually the theoretical assumption made in a motorsport setup should have a 50/50 chance of being accurate. This could result in errors that will effect the performance of the vehicle, the driver's ability to understand the vehicle and the ability to utilize the equipment at an optimal level. The vehicle dynamics and the feedback to engineers are not truly representative of the real world in such a situation.
Hence, to help solve this issue, the MegaRide team engineered a set of simulation tools, capable of simplifying the multi-objective identification process, leading to shorter development schedules, even with the full implementation of specific physical dependencies. Thanks to the new RIDEsuite v20 the performance has been improved up to 20% in run-time and up to 30% in initialization phases.
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