In-Plane Flexible Ring Tire Model Validation Through ADAMS FTire Model Virtual Tests

2015 ◽  
Author(s):  
Bin Li ◽  
Xiaobo Yang ◽  
Ankang Jin ◽  
Yunqing Zhang ◽  
James Yang
Keyword(s):  
Friction Coefficient ◽  
Model Validation ◽  
Tire Model ◽  
Normal Contact ◽  
Rectangular Shape ◽  
Quarter Car Model ◽  
Car Model ◽  
Geometric Center ◽  
Quarter Car ◽  
Flexible Ring

This paper presents the validation for the newly developed in-plane flexible ring tire model by using ADAMS FTire model simulation. The developed in-plane model is unique in two aspects: (1) the neighboring belt segments are connected through normal and tangential directions by springs and dampers, each belt segment is a rigid body and its mass is accumulated at its geometric center. Each belt segment is always perpendicular to the line formed by the wheel center and the belt geometric center, thus there is no rotational constrains between the neighboring belt segments; (2) the representation of the tangential friction force between the tire and the road is defined through the multiplication of the normal contact force and the friction coefficient. And the friction coefficient is obtained based on an empirical model of the tire slip. For validation, a quarter-car model first runs on a flat road with a constant velocity (40km/h) and then rides over a rectangular shape obstacle to identify the tire parameters based on the virtual tests of Gipser’s FTire model in ADAMS. Then the quarter-car model runs on a flat road with 4–5 different conditions to ride over each obstacle: rectangular shape, triangular shape, half circle, and trapezoid. Simulation results for the new in-plane flexible ring model are compared with virtual test results from ADAMS FTire model on the same road and velocity condition for the tire patch contact forces in horizontal and longitudinal directions respectively based on the SAE standard J2812. Note that this study is the first time that the new SAE standard J2812 is used for model validation. After the validation, two important aspects have been investigated: (1) What is the minimum height of each obstacle shape so that the parameter identification will have minimum equipment loads? (2) What should the minimum number of belt segments be for each obstacle shape? The above two aspects are useful for tire model end users and tire experimental experts in real world applications.

Magnetorheological damper in semi-active vehicle suspension system using SDRE control for a quarter car model

2018 ◽  
Author(s):  
Maria Aline Gonçalves ◽  
Rodrigo Tumolin Rocha ◽  
Frederic Conrad Janzen ◽  
José Manoel Balthazar ◽  
Angelo Marcelo Tusset
Keyword(s):  
Suspension System ◽  
Magnetorheological Damper ◽  
Vehicle Suspension ◽  
Quarter Car Model ◽  
Car Model ◽  
Quarter Car ◽  
Vehicle Suspension System ◽  
Active Vehicle Suspension System

An insight into linear quarter car model accuracy

2010 ◽  
Vol 49 (3) ◽  
pp. 463-480 ◽  
Author(s):  
Damien Maher ◽  
Paul Young
Keyword(s):  
Model Accuracy ◽  
Quarter Car Model ◽  
Car Model ◽  
Quarter Car ◽  
Insight Into

Response of a quarter car model with optimal magnetorheological damper parameters

2013 ◽  
Vol 332 (9) ◽  
pp. 2191-2206 ◽  
Author(s):  
R.S. Prabakar ◽  
C. Sujatha ◽  
S. Narayanan
Keyword(s):  
Magnetorheological Damper ◽  
Quarter Car Model ◽  
Car Model ◽  
Quarter Car

scholarly journals A Novel Approach in Designing PID Controller for Semi-active Quarter Car Model

2016 ◽  
Vol 70 ◽  
pp. 04001
Author(s):  
Vedant Mehta ◽  
Yash Gandhi ◽  
Mayuri Patel ◽  
Bhargav Gadhvi ◽  
Anil Markana ◽  
...  
Keyword(s):  
Pid Controller ◽  
Quarter Car Model ◽  
Car Model ◽  
Novel Approach ◽  
Quarter Car

Controlling Chaotic Vibrations of a Quarter-Car Model Excited by Road Surface Profile using Parametric Excitation.

2021 ◽  
Vol 6 (3) ◽  
Author(s):  
Lawrence Atepor ◽  
Keyword(s):  
Parametric Excitation ◽  
Surface Profile ◽  
Equation Of Motion ◽  
Road Surface ◽  
Force Term ◽  
Quarter Car Model ◽  
Car Model ◽  
Chaotic Vibrations ◽  
Excitation Force ◽  
Quarter Car

Chaotic Vibrations are considered for a quarter-car model excited by the road surface profile. The equation of motion is obtained in the form of a classical Duffing equation and it is modeled with deliberate introduction of parametric excitation force term to enable us manipulate the behavior of the system. The equation of motion is solved using the Method of Multiple Scales. The steady-state solutions with and without the parametric excitation force term is investigated using NDSolve MathematicaTM Code and the nonlinear dynamical system’s analysis is by a study of the Bifurcations that are observed from the analysis of the trajectories, and the calculation of the Lyapunov. In making the system more strongly nonlinear the excitation amplitude value is artificially increased to various multiples of the actual value. Results show that the system’s response can be extremely sensitive to changes in the amplitude and the that chaos is evident as the system is made more nonlinear and that with the introduction of parametric excitation force term the system’s motion becomes periodic resulting in the elimination of chaos and the reduction in amplitude of vibration.

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