Lateral Force Model of Lunar Roving Vehicle’s Wheel Based on Pressure Modifying

2017 ◽  
Vol 53 (9) ◽  
pp. 014
Author(s):  
Zhongchao LIANG
Keyword(s):  
Lateral Force ◽  
Force Model

Variable caster steering in vehicle dynamics

2017 ◽  
Vol 232 (9) ◽  
pp. 1270-1284 ◽  
Author(s):  
Dai Q Vo ◽  
Hormoz Marzbani ◽  
Mohammad Fard ◽  
Reza N Jazar
Keyword(s):  
Kinematic Model ◽  
Lateral Force ◽  
Lateral Acceleration ◽  
Steering Wheel ◽  
Force Model ◽  
Front Suspension ◽  
The Road ◽  
Handling Characteristics ◽  
Centre Of Rotation ◽  
Vehicle Dynamic Model

When a car is cornering, its wheels usually lean away from the centre of rotation. This phenomenon decreases lateral force, limits tyre performance and eventually reduces the vehicle lateral grip capacity. This paper proposes a strategy for varying caster in the front suspension, thereby altering the wheel camber to counteract this outward inclination. The homogeneous transformation was utilised to develop the road steering wheel kinematics which includes the wheel camber with respect to the ground during a cornering manoeuvre. A variable caster scheme was proposed based on the kinematic analysis of the camber. A rollable vehicle model, along with a camber-included tyre force model, was constructed. MATLAB/Simulink was used to simulate the dynamic behaviour of the vehicle with and without the variable caster scheme. The results from step steer, ramp steer, and sinusoidal steer inputs simulations show that the outward leaning phenomenon of the steering wheels equipped with the variable caster, is reduced significantly. The corresponding lateral acceleration and yaw rate increase without compromising other handling characteristics. The actively controlled car, therefore, provides better lateral stability compared to the passive car. The tyre kinematic model and the vehicle dynamic model were validated using multibody and experimental data.

Development of a Two-Dimensional Force Model and Data Analysis for the Tire Uniformity Testing Machine

2011 ◽  
Vol 221 ◽  
pp. 343-349 ◽  
Author(s):  
Bai Lin Hang ◽  
Zhen Ya Duan
Keyword(s):  
Data Analysis ◽  
Testing Machine ◽  
Lateral Force ◽  
Testing System ◽  
Force Model ◽  
Two Dimensional ◽  
Analysis Method ◽  
Data Analysis Method ◽  
Uniformity Test ◽  
Measurement And Analysis

Force model of tire uniformity testing system and data analysis method are fundamental to a tire uniformity testing machine. Based on theoretical analysis, this paper proposes a two-dimensional force model to calculate tire’s radial and lateral force, confirm the mechanical structures of the existing tire uniformity testing machine’s testing system and verify the validity of its testing method by the model. According to this two-dimensional force model and FFT data analysis method, the YLJ series tire uniformity testing machine is developed. It is mainly applied for fully auto online uniformity test and size deviation. The authors also explained the operational principle, data measurement and analysis procedure of the YLJ series tire uniformity testing machine.

scholarly journals Optimal design of a global force-balanced polycrystalline diamond compact bit considering wear condition

2019 ◽  
Vol 11 (12) ◽  
pp. 168781401989445
Author(s):  
Yachao Ma ◽  
Zhanghua Lian ◽  
Zhiqiang Huang ◽  
Wenlin Zhang ◽  
Dou Xie
Keyword(s):  
Oil And Gas ◽  
Polycrystalline Diamond ◽  
Bending Moment ◽  
Lateral Force ◽  
Force Model ◽  
Gas Drilling ◽  
Weight On Bit ◽  
Optimal Approach ◽  
Polycrystalline Diamond Compact ◽  
Wear Condition

Polycrystalline diamond compact bits are one of the most widely used oil and gas drilling tools in the world. With wear, a large unbalanced lateral force and bending moment exist. These force and moment contribute not only to bit lateral vibration and whirl but also to wellbore tilt and enlargement, which will then cause early bit failure and low drilling efficiency. In this article, considering wear condition, a single cutter force model is proposed. Lateral force and bending moment models are constructed based on space-force theory. An optimal cutter layout model considering cutter wear is established. The matching approach for the optimal model is discussed based on Kriging surrogate model and genetic algorithm. Then, an optimization case is presented. The results show that the bit force models are in line with the actual drilling condition. The optimal approach is efficient. After optimization, the lateral force to weight on bit ratio is reduced by 10.99%, and the bending moment to torque on bit ratio is reduced by 30.43%. This result is a significant improvement in the force condition and stability of the polycrystalline diamond compact bit; ultimately, the whirl and tilt motion can be reduced, and the drilling efficiency can be improved.

scholarly journals Neural Network Identification of a Racing Car Tire Model

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Jianfeng Wang ◽  
Yiqun Liu ◽  
Liang Ding ◽  
Jun Li ◽  
Haibo Gao ◽  
...  
Keyword(s):  
Neural Network ◽  
High Precision ◽  
Degrees Of Freedom ◽  
Lateral Force ◽  
Dynamics Simulation ◽  
Force Model ◽  
Tire Model ◽  
Feed Forward Neural Network ◽  
Magic Formula ◽  
Tire Models

In order to meet the demands of small race car dynamics simulation, a new method of parameter identification in the Magic Formula tire model is presented in this work, based on an analysis of the Magic Formula tire model structure. A high-precision tire model used for vehicle dynamics simulation is established via this method. It is difficult for students to build a high-precision tire model because of the complexity of widely used tire models such as Magic Formula and UniTire. At a pure side slip condition, building a lateral force model is an example, which illustrate the utilization of a multilayer feed-forward neural network to build an intelligent tire model conveniently. In order to fully understand the difference between the two models, a two-degrees-of-freedom (2 DOF) vehicle model is established. The advantages, disadvantages, and applicable scope of the two tire models are discussed after comparing the simulation results of the 2 DOF model with the Magic Formula and intelligent tire model.

Analytical modeling and simulation on lateral mechanical characteristics of high-speed train traction motor hanging leaf spring

2019 ◽  
Vol 10 (03) ◽  
pp. 1950017
Author(s):  
Yuewei Yu ◽  
Leilei Zhao ◽  
Changcheng Zhou
Keyword(s):  
High Speed ◽  
Mechanical Characteristics ◽  
Structural Parameters ◽  
Analytical Formula ◽  
Analytical Calculation ◽  
Lateral Force ◽  
Leaf Spring ◽  
Force Model ◽  
Traction Motor ◽  
Influence Degree

In this paper, using the theoretical analysis method, according to the actual structure of the hanging leaf spring of the traction motor mounted on the frame, the lateral force model of the hanging leaf spring of the traction motor was established. Then, through theoretical deduction, the deformation analytical calculation formula and the stress analytical calculation formula of the hanging leaf spring were established. The correctness of the leaf spring’s lateral force model was established and its deformation and stress analytical formulae were verified using ANSYS finite element analysis software. Based on this, according to the deformation analytical formula and the stress analytical formula of the leaf spring established, the influence of the main structural parameters on the mechanical characteristics of the leaf spring was discussed, and the reliability of the analytical analysis method of the lateral mechanical characteristics of the traction motor hanging leaf spring was verified by the loading–unloading test. The results show that the deformation and the load of the leaf spring change linearly. The changes of leaf spring’s stress at different positions can be considered as being composed of three sections: a linear change section in the root, a nonlinear change section in the middle, and a nonlinear change section in the end. In the structural parameters, the end thickness [Formula: see text] has the greatest influence on the stiffness and the stress of the leaf spring, and the maximum thickness of the leaf spring eye [Formula: see text] has the least influence on the stiffness and the stress of the leaf spring. The influence degree of other parameters on the stiffness of the leaf spring is [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text] in order, and the influence degree on the stress of the leaf spring is [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text] in order. In addition, when the root thickness [Formula: see text] is greater than a certain value, the maximum stress point of the leaf spring appears at the end position [Formula: see text]. This study can provide a useful reference for the intelligent forward design and the rapid analysis of the mechanical characteristics of high-speed train traction motor hanging leaf spring.

Simultaneous Estimation of Vehicle’s Center of Gravity and Inertial Parameters Based on Ackermann’s Steering Geometry

2017 ◽  
Vol 139 (3) ◽  
Author(s):  
Zitian Yu ◽  
Junmin Wang
Keyword(s):  
Estimation Method ◽  
Lateral Force ◽  
Front Wheel ◽  
Center Of Gravity ◽  
Simultaneous Estimation ◽  
Force Model ◽  
Force Term ◽  
Motion Equations ◽  
Tire Force ◽  
Inertial Parameters

Onboard vehicle parameter estimation is an important procedure for advanced vehicle control tasks, especially for vehicles whose payload configurations vary in day-to-day use. This study presents a newly proposed estimation method based on the Ackermann’s steering geometry (ASG) that aims to estimate multiple vehicle's center of gravity (CG) position and inertial parameters at the same time. In this method, the vehicle planar motion equations are first synthesized into a form where only the lateral force of one front wheel and longitudinal forces appear. This way, the influence of uncertainties in the tire lateral force models is greatly reduced. Then, the condition of eliminating the remaining front wheel lateral force term can be derived, which is exactly the Ackermann’s steering geometry. When the influence of lateral tire force terms are eliminated, regression technique is applied to estimate the needed vehicle parameters. Vehicle’s suspension kinematics is also considered in the processing of dynamic signals. Unlike conventional methods in estimating vehicle’s payload related parameters, the new method requires neither lateral tire force model nor accurate suspension property parameters. Simulations in CarSim®-Simulink environment verified that the proposed method is capable of estimating vehicle parameters such as CG position and inertial parameters at the same time.

scholarly journals Steering Pull Model and Its Sensitivity Analysis

2020 ◽  
Vol 10 (22) ◽  
pp. 8072
Author(s):  
Seong Han Kim ◽  
Min Chul Shin
Keyword(s):  
Sensitivity Analysis ◽  
Lateral Force ◽  
Steering System ◽  
Steering Wheel ◽  
Slip Angle ◽  
Accurate Estimation ◽  
Force Model ◽  
Bank Angle ◽  
Power Steering ◽  
Pulling Forces

When a vehicle goes on the straight road with a bank angle, a steering pull makes the driver exert a constant steering torque to the steering wheel, which causes an annoying steering feel to the driver. This paper proposes a steering pull model and sensitivity analysis on the steering pull. In order to develop the steering pull model, pulling forces on the tires, such as plysteer and conicity forces, lateral force due to slip angle, lifting forces due to cast and kingpin, and camber force are modeled. A steering system is also modeled because the generated pulling forces are attenuated as it is transmitted through the steering system. Each component of the steering system, such as lower body linkages, rack and pinion gear, universal joint, and steering column with electric power steering (EPS) system is modeled, and then they are integrated into a complete steering system. Finally, the steering pull model is developed by integrating the pulling force model with the steering system model. For verification, the steering pull of a vehicle is estimated based on the model, and the results are compared with the experimental results. For the verification experiments, a steering pull measurement system using a global positioning system (GPS) and its accessories are used. The result comparison showed that the developed steering pull model provides very accurate estimation results. Based on the steering pull model, the sensitivity of steering pull factors, such as caster angle, kingpin angle, camber angle, rack friction force, and anti-rattle spring (ARS) stiffness is analyzed.

Experimental Benchmark of a Lift Force Model for PWR Fuel Assemblies

2010 ◽  
pp. 50-56
Author(s):  
Pablo R. Rubiolo ◽  
Guy Chaigne ◽  
Pierre Peturand ◽  
Jérôme Bigot ◽  
Jean-François Desseignes ◽  
...  
Keyword(s):  
Lift Force ◽  
Force Model ◽  
Fuel Assemblies

Computer Modeling of a Tire under Cornering Loads

1989 ◽  
Vol 17 (2) ◽  
pp. 86-99 ◽  
Author(s):  
I. Gardner ◽  
M. Theves
Keyword(s):  
Finite Element Analysis ◽  
Geometric Approach ◽  
Lateral Force ◽  
Slip Angle ◽  
Element Analysis ◽  
Pressure Distributions ◽  
Slip Effects ◽  
Improved Accuracy ◽  
Nonlinear Geometric ◽  
Good Agreement

Abstract During a cornering maneuver by a vehicle, high forces are exerted on the tire's footprint and in the contact zone between the tire and the rim. To optimize the design of these components, a method is presented whereby the forces at the tire-rim interface and between the tire and roadway may be predicted using finite element analysis. The cornering tire is modeled quasi-statically using a nonlinear geometric approach, with a lateral force and a slip angle applied to the spindle of the wheel to simulate the cornering loads. These values were obtained experimentally from a force and moment machine. This procedure avoids the need for a costly dynamic analysis. Good agreement was obtained with experimental results for self-aligning torque, giving confidence in the results obtained in the tire footprint and at the rim. The model allows prediction of the geometry and of the pressure distributions in the footprint, since friction and slip effects in this area were considered. The model lends itself to further refinement for improved accuracy and additional applications.

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