The double wishbone suspension (DWS) system is widely used in automotive engineering because of its favorable kinematic properties, which affect vehicle dynamics, handling, and ride comfort; hence, it is important to have an accurate 3D model, simulation, and analysis of the system in order to optimize its design. This requires efficient computational tools for parametric study. The development of effective computational tools that support parametric exploration stands as an essential requirement. Our research demonstrates a complete Wolfram Mathematica system that creates parametric 3D kinematic models and conducts simulations, performs analyses, and generates interactive visualizations of DWS systems. The system uses homogeneous transformation matrices to establish the spatial relationships between components relative to a global coordinate system. The symbolic geometric parameters allow designers to perform flexible design exploration and the kinematic constraints create an algebraic equation system. The numerical solution function NSolve computes linkage positions from input data, which enables fast evaluation of different design parameters. The integrated 3D visualization module based on Mathematica’s manipulate function enables users to see immediate results of geometric configurations and parameter effects while calculating exact 3D coordinates. The resulting robust, systematic, and flexible computational environment integrates parametric 3D design, kinematic simulation, analysis, and dynamic visualization for DWS, serving as a valuable and efficient tool for engineers during the design, development, assessment, and optimization phases of these complex automotive systems.

A substructure technique is proposed to account for energy harvesting in vehicle suspension systems. In this study, two dynamic models are coupled: a classic 7-DOF full-car model and a 14-DOF double wishbone suspension model for a more reliable approach to energy harvesting predictions. In this context, a disk of piezoelectric material is introduced between the frame and the spring shock absorber assembly of each wheel. Additionally, wasted energy caused by undesired vibrations in the vehicle’s suspension system can be partially recovered and converted into useful electric energy. The converted energy is predicted by using a 14-DOF coupled substructure model, along with double wishbone suspension elements. Moreover, an approach using a linear piezoelectric model is applied. Simultaneous solution of the differential equations of motion for these dynamic systems is performed in the time domain, considering a bump as the input mode. Tests were conducted to obtain the responses of ceramic, polymer, and composite piezoelectric materials, focusing on their energy harvesting and mechanical strength. Despite the indication of the ceramic piezoelectric material’s potential for energy harvesting from wasted vibrations in this study, the composite piezoelectric material seems preferable due to its mechanical strength.

The suspension system in plays a pivotal role, especially in off-road vehicles, in ensuring optimal comfort, road holding and ride safety. This study explores the transition from a MacPherson strut to a double wishbone suspension system, emphasizing its impact on relevant suspension features, such as camber and caster angles, motion ratio and vertical dynamics. Through this study, an off-road vehicle was retrofitted with the proposed suspension architecture and tested both numerically and experimentally. Test results reproduce simulation outcomes, thus confirming the effectiveness of the redesigned suspension system for the target vehicle, especially for demanding off-road applications.

Multi-Objective Optimization and Stress Analysis of an Automotive Upper Control Arm of Double Wishbone Suspension

In this paper, a university formula racing suspension is taken as the research object. Based on the requirements of acing suspension, the double wishbone suspension is improved, and a new arrangement scheme based on the stepped shaft is proposed, which theoretically realizes the decoupling of the pitch stiffness and the roll stiffness of the suspension. Based on ADAMS/Car module, the front and rear suspension models are established. By simulating the motion of formula racing, it is further judged whether the pitch and roll stiffness of the suspension are decoupled. According to this, the hard point coordinates of the suspension is adjusted to ensure that the length of each spring changes within the ideal range. Based on the optimized suspension, according to the national standard test method and the scoring standard of the automobile industry, combined with the university formula racing project, the vehicle handling stability test and scoring evaluation are carried out, and the vehicle handling stability is verified by the real vehicle test. A set of decoupling suspension is obtained, which can realize separate adjustment of pitch stiffness and roll stiffness and improve vehicle handling stability.

Kinematics characteristics of unsprung mass in a double wishbone suspension based on velocity transformation

One of the main elements of the suspension system is the lower control arm, which serves to transmit horizontal forces from the wheels to the chassis, while also defining the nature of the wheel movements relative to the chassis and the road surface. The implementation of guiding, elastic, and damping devices requires a comprehensive modelling of the vehicle's motion during the design stage. This paper presents results from static strength analysis and frequency analysis of the lower control arm of an independent front double-wishbone suspension of a passenger car. For this purpose, a three-dimensional geometric model of the lower control arm was created, using the Honda Civic as a prototype for the passenger car. The loads under various operating conditions necessary for conducting static analysis were determined. The Finite Element Analysis (FEA) was employed using the Simulation module of the SolidWorks software to solve the problem. Stresses, displacements, natural frequencies, and modes of the control arm were determined. The results were compared with experimentally obtained data for the natural frequencies.

This paper focuses on design optimization of an existing double wishbone type suspension system from a consumer vehicle. The suspension system acts as a key element in between the vehicle and the road, and has a significant impact on the handling and feel of the vehicle. The suspension system is a critical system that directly influences vehicle dynamics, ride comfort and overall driving experience. Optimizing core suspension factors such as weight, strength and geometry are a key to achieving optimal performance, handling, ride quality and stability. Known for its precise handling characteristics and superior ride comfort, the double wishbone suspension is an ideal candidate for improving its design to a new ceiling. By using FEM with the principles of topology optimization, we aim to create an optimized control arm design that is lighter in weight as compared to its original design, without significantly affecting its strength characteristics. Key Words: control arms, double wishbone suspension, topology optimization, design, efficiency, lightweight design.

With the advancement of technology, mining trucks are gradually becoming larger, imposing higher performance requirements on the front suspension. There is a need to transform the original integral non-independent front axle of mining dump trucks with a payload exceeding 300 tons into an independent front suspension with a double-wishbone suspension. The changing of the front suspension is bound to have an impact on the overall vehicle’s handling stability and ride comfort. Therefore, the following research is conducted to investigate and analyze these effects. Firstly, the paper proposes a method for optimizing the parameters of the double-wishbone front suspension. The double-wishbone front suspension is modeled, and a comparison with a kinematic model is conducted to validate the accuracy of the model. Secondly, unreasonable hardpoint parameters are optimized. Thirdly, a dynamic model of the entire vehicle is established based on the optimized parameters, and an analysis of handling stability and ride comfort for the entire vehicle is performed. Finally, simulation results are compared and analyzed against experimental data. The results indicate that the optimized positioning parameters not only effectively enhance the suspension performance of the mining dump truck but also meet the requirements for handling stability and smoothness. The overall smoothness of the vehicle is significantly improved after the modification. This study not only holds significant engineering value in reducing vibrations in dump trucks and enhancing driver comfort, but also provides theoretical support for subsequent research and development in the industry.

The suspension system is vital to vehicle performance because it undertakes most of the interactions between wheels and the vehicle body. Due to the significant geometric nonlinearity, there is still a gap of suitable suspension models that are both accurate and computationally efficient. To solve the problem, this paper proposes an explicit solution to the nonlinear geometry of double wishbone suspension by decoupling steering and wheel jumping degrees of freedom (DOF). By discarding the small displacement assumption in the derivation process, the new model gets rid of repeated numerical iterations, resulting in substantial enhancement in computational efficiency. Furthermore, it is noticed in the comparative study that the proposed model can achieve the same level of accuracy as Adams. Benefiting from high computational efficiency and accuracy, the decoupling model presented is successfully used in the optimal design of a double wishbone suspension for smaller variation ranges of wheel alignment parameters. It is anticipated that the research will make significant contribution to fast dimension design of suspension geometry and real-time control of active variable geometry suspensions.

To predict the fatigue life of composite structures more accurately under random loads, some parameters are introduced, such as threshold value, elastic modulus, and fracture toughness. The overload hysteresis effect under random loads is considered to improve the crack growth rate model and obtain a random fatigue life prediction model. Taking the key components of the double-wishbone suspension as the research object, the random life prediction model for the key components was established, and the fatigue life test bench was built. By comparing and analyzing the numerical fatigue life, finite element simulation life, and physical test life, the effectiveness of numerical model and finite element model is illustrated.

Global rubber production has declined over the past few years as a result of a number of variables, including both environmental and human factors. In this paper, an automated robot prototype that collects latex cups was developed to improve global rubber production by assisting workers in rubber plantations. The robot was built on a mobile platform with a motorized Five Degrees of Freedom (DoF) robotic arm, Ackermann steering, double wishbone suspension, rear-wheel drive and a latex storage tank to store the latex collected from the trees. The robot was equipped with ultrasonic sensors and a camera module to locate latex cups and rubber trees so that it could move and perform tasks accurately. In addition, encoder sensor modules were used to improve the accuracy of the movements by measuring the rotational speed of the motors. The yield strength of the PLA plastic material used in developing the latex cup collector robot is 7.00 x 107N/m2 and the maximum stress of the critical parts should not exceed the maximum yield strength of the PLA plastic. In mobility test, the robot is able to travel through obstacles of 10mm and 15mm height. The topple angle of the robot in the balancing test is greater than 37°, ensuring the stability of the robot.

A Study of Finite Element Analysis and Topology Optimization of Upper Arm of Double Wishbone Suspension

When a vehicle takes a turn at a high rate of speed, it is frequently rendered unstable, and the vehicle may lose touch with the way if the cornering is paired with a bump in the pavement. This can be especially dangerous if the vehicle is traveling in the opposite direction of the bump. The strategy asks for the design and manufacture of a suspension system and wheel assembly that are robust enough to withstand high speed cornering while also being able to ride comfortably over bumps of varied degrees of severity, Another crucial element of vehicle design is material choice since it allows us to lighten the vehicle while still maintaining the safety of the planned components, improving performance, We used the data and dimensions of the Honda Accord 2012, available in its own company, in our theoretical calculations to obtain the forces Depending on braking and bending conditions required to be applied to the components of the double wishbone suspension system which is made by solidworks2022 Where we selected the wishbone system's fundamental dimensions. Then, in order to determine the optimal materials for the Honda accord2012 double wishbone suspension system, a structural study is carried out with the aid of the ANSYS2021R2 program by modelling the loads exerted on just this suspension system individually using the wheel, wishbones, and knuckle. The suspension system's parts were then placed through some kind of series of quality control tests to make sure that only the best materials were utilized in their fabrication This is due to the fact that it is one of the most crucial sections of the vehicle. The results of this study were then used to refine the suspension system's design and select the best metals for it, by taking into account, among other things, the material's strength, cost of manufacture, weight, and availability. The purpose of the document, among other things, is to: A-Research all chassis parameters. B-Analyze a double wishbone suspension system parameter and try to optimize it. c) A study of the performance-influencing factors for the current suspension systems, d-To get the highest performance as well as material for a double wishbone suspension system, reduce or control the extent to which these aspects have an impact during the design phase.

The primary goal of this paper is to design and analyse the entire double wishbone suspension system for a commercial vehicle in order to improve the vehicle’s stability and handling. The suspension system has seen tremendous advancement. A commercial vehicle’s suspension system must be long-lasting, light in weight, efficient, and cost-effective. The vehicle must be able to withstand the harsh off-road terrain environment. As a result, it is critical to concentrate on the stress strain analysis study of the lower wishbone arm in order to improve and modify the existing design.

Lightweight material for weight reductions in an automotive suspension part lower link

The stability of vehicles is influenced by the suspension system. At present, there are many studies on the suspension of traditional passenger vehicles, but few are related to agricultural mobile robots. There are structural differences between the suspension system of agricultural mobile robots and passenger vehicles, which requires structural simplification and modelling concerning suspension of agricultural mobile robots. This study investigates the optimal design for an agricultural mobile robot’s suspension system designed based on a double wishbone suspension structure. The dynamics of the quarter suspension system were modelled based on Lagrange’s equation. In our work, the non-dominated sorting genetic algorithm III (NSGA-III) was selected for conducting multi-objective optimization of the suspension design, combined with the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) to choose the optimal combination of parameters in the non-dominated solution set obtained by NSGA-III. We compared the performance of NSGA-III with that of other multi-objective evolutionary algorithms (MOEAs). Compared with the second-scoring solution, the score of the optimal solution obtained by NSGA-III increased by 4.92%, indicating that NSGA-III has a significant advantage in terms of the solution quality and robustness for the optimal design of the suspension system. This was verified by simulation in Adams that our method, which utilizes multibody dynamics, NSGA-III and TOPSIS, is feasible to determine the optimal design of a suspension system for an agricultural mobile robot.

Design and optimisation of double wishbone suspension for high performance vehicles

Design and optimisation of double wishbone suspension for high performance vehicles

At present, the suspended structure catamaran is composed of the main ship on the water and the side bodies symmetrically distributed on the hull. Such a structure avoids the direct contact of the main ship with the water surface, and has good stability. In this paper, a shock absorption system for ships is designed. It is undertaken by the double wishbone independent suspension system, which includes the upper wishbone, the lower wishbone, the bracket, the shock absorber and other components. The double wishbone suspension system is used in the shock absorption of this project, which can well cope with the huge impact brought by the waves. The 3D model of the hull is modeled, and the external flow field simulation of the catamaran is carried out by using starccm+ software, and the design optimization of the tail structure and thruster is realized.