VESevo, an innovative device for non-destructive and smart viscoelastic characterization of tires compounds
The patented technology of the VESevo allows the characterization of the Storage Modulus and the Loss Factor thanks to the build-in high-accuracy sensors, which enable the user to carry out many measurements at different conditions and directly in-situ.
A Co-Simulation Platform with Tire and Brake Thermal Model for the Analysis and Reproduction of Blanking
In the world of motorsports engineering, improving brake performance is a crucial goal. One significant factor that affects this performance is the increase in brake disc temperature due to reduced cooling airflow, a phenomenon called “blanking”
Experimental Friction Analysis Through Innovative Compound-Substrate Contact Modelling for Automotive Applications
Introducing GrETA, a friction model poised to predict tire-road friction coefficients across different conditions temperature, pressure, and relative velocity. GrETA integrates micro and macro scale road profile roughness parameters, alongside viscoelastic properties of the tire tread compound using VESevo technology. This innovative model mathematically captures the intricate contact phenomena between the rubber surface and substrate countersurface.
RIDElab: Advanced calibration tool for a real-time MF-based multiphysical tire model
The necessity to parametrize the advanced MF model has led to the development of an interactive tool, able to identify the miscellaneous model parameters directly on the experimental data acquirable in both outdoor or indoor testing sessions. The improved accuracy of the model response and the potential of the RIDElab approach have been validated in multiple motorsport categories where thermodynamic and wear effects on the tire behavior can not be ignored.
Development of a simplified methodology for grip prediction in motorsport
Nowadays, knowledge of vehicle dynamic behaviour is becoming more and more ingrained, es- pecially in applications such as motorsport where numerous linearization can be introduced into the models making studies relatively simpler compared to more complex cases.
Tire Wear Sensitivity Analysis and Modeling Based on a Statistical Multidisciplinary Approach for High-Performance Vehicles
One of the main challenges in maximizing vehicle performance is to predict and optimize tire behavior in different working conditions, such as temperature, friction, and wear. In the field of wear understanding, different approaches are under study both in academia and industry. The paper aims to combine physical and data-driven analyses based on the statistical approach considering a large number of high-performance vehicle telemetries, tracks, and road data, as well as tires’ viscoelastic properties.
Ultraviolet Light Radiation Effects on Viscoelastic Property Variation in Polymers
Viscoelastic materials exhibit a variable mechanical behavior generally investigated through Dynamic Mechanical Analysis (DMA). Such kind of test is carried out on standardized specimens, which have to be specifically produced or extracted from the component to be characterized, causing its destruction
Non-Linear Model of Predictive Control-Based Slip Control ABS Including Tyre Tread Thermal Dynamics
Vehicle dynamics can be deeply affected by various tyre operating conditions, includ- ing thermodynamic and wear effects. Indeed, tyre temperature plays a fundamental role in high performance applications due to the dependencies of the cornering stiffness and potential grip in such conditions.
Physical tire modeling for real-time simulation
Online the official preview of the educational content’s technical abstract by MegaRide group: “Physical Tire Modeling for Real-Time Simulation”. An overview on our completely modular simulation platform, with specific focus to procedures and methodologies established over the years to carry out the tire digitalization process.
Estimation of Vehicle Longitudinal Velocity with Artificial Neural Network
Vehicle dynamics control systems have a fundamental role in smart and autonomous mobility, where one of the most crucial aspects is the vehicle body velocity estimation. In this paper, the problem of a correct evaluation of the vehicle longitudinal velocity for dynamic control applications is approached using a neural networks technique employing a set of measured samples referring to signals usually available on-board, such as longitudinal and lateral acceleration, steering angle, yaw rate and linear wheel speed.
Investigation of the Mileage Effects on the Viscoelastic Properties by a Non-destructive Method
The viscoelastic properties of tires play a fundamental role into vehi- cle dynamics field affecting the vehicle performance and safety according to their evolution over the mileage. The knowledge of these properties is obtained through destructive tests, such as the Dynamic Material Analysis, which make the tire unus- able. In this scenario, the Applied Mechanics research group of the Department of Industrial Engineering at the Federico II has developed an innovative device, called VESevo,
Fractional Calculus Approach to Reproduce Material Viscoelastic Behavior, including the Time–Temperature Superposition Phenomenon
The design of modern products and processes cannot prescind from the usage of viscoelastic materials that provide extreme design freedoms at relatively low cost. Correct and reliable modeling of these materials allows effective use that involves the design, maintenance, and monitoring phase and the possibility of reuse and recycling.
TRT EVO: Advances in real-time thermodynamic tire modeling for vehicle dynamics simulations
Vehicle performances, especially in motorsport, are deeply affected by tire behavior and in particular by tire compound proper working conditions. In this research activity, a series of innovations have been introduced on the Thermo Racing Tire
Study on the Generalized Formulations with the Aim to Reproduce the Viscoelastic Dynamic Behavior of Polymers
Appropriate modelling of the real behavior of viscoelastic materials is of fundamental importance for correct studies and analyses of structures and components where such materials are employed
Investigation on the Model-Based Control Performance in Vehicle Safety Critical Scenarios with Varying Tyre Limits
Abstract: In recent years the increasing needs of reducing the costs of car development expressed by the automotive market have determined a rapid development of virtual driver prototyping tools that aims at reproducing vehicle behaviors.
Static and Dynamic Analysis of Non-Pneumatic Tires Based on Experimental and Numerical Methods
Since the beginning of their production, pneumatic tires have experienced tremendous improvements in structure and materials, becoming the dominant design in the world tires market. Nevertheless, relying upon pressurized air, they are affected by maintenance and security issues that can lead to fatal accidents.
A numerical methodology for thermo-fluid dynamic modelling of tyre inner chamber: towards real time applications
The characterization and reproduction of tyre behaviour for vehicle modelling is a topic of particular interest both for real-time driver in the loop simulations and for offline performance optimization algorithms
TOWARDS T.R.I.C.K. 2.0 – A TOOL FOR THE EVALUATION OF THE VEHICLE PERFORMANCE THE USE OF AN ADVANCED SENSOR SYSTEM
Abstract. In the last years, the tire technological development has played a fundamental role in motorsport and in automotive industry. The tire contact patch forces have a great influence on the vehicle behavior, so their correct estimation is a crucial task to understand how to improve the car performance.
A Real‐Time Thermal Model for the Analysis of Tire/Road Interaction in Motorcycle Applications
The small extension of the footprint in motorcycle tires, along with the need to guarantee driver stability and safety in the widest possible range of riding conditions, requires that tires work as most as possible at a temperature capable of providing the highest interaction force with road.