Multi-objective optimization of the suspension system parameters of a full vehicle model

Fossati, Giovani Gaiardo; Miguel, Letícia Fleck Fadel; Casas, Walter Jesus Paucar

doi:10.1007/s11081-018-9403-8

Cited by 44 publications

(23 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The obtained results show that the proposed technique is adequate for identifying road disturbances. Optimization of the passive suspension system was examined in [27], and for this purpose, a numericalcomputational program was developed. Driver seat vertical acceleration was reduced approximately by 21.14% of weighted RMS value.…”

Section: Imentioning

confidence: 99%

Dynamic Behavior and Force Analysis of the Full Vehicle Model using Newmark Average Acceleration Method

Yildirim

Esen

2020

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

In this study, the dynamic interaction between road and vehicle is modeled. For this purpose, a full vehicle model with eight degrees of freedom is considered. The equations of motion of the whole system are derived by the D’Alambert method and numerical solutions are obtained by the Newmark average acceleration method. Due to varying road roughness, the forces affecting the driver and the vehicle-components are analyzed in detail. Also, vertical and rotational displacements, velocities, and accelerations are examined, and results graphs are given. Two different pre-defined road profiles, created as non-random road excitation, and five different vehicle speeds are presented and analyzed.

show abstract

Section: Imentioning

confidence: 99%

Dynamic Behavior and Force Analysis of the Full Vehicle Model using Newmark Average Acceleration Method

Yildirim

Esen

2020

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

show abstract

“…e objective function considers comfort and safety and combines with the NSGA-II algorithm for multiobjective optimization. e dynamic analysis results of the vehicle model are compared with the optimized and unoptimized suspension systems, and it is verified that the optimization can reduce the weighted RMS value of the vertical acceleration of the driver's seat by up to 21.14%, while improving the safety of the car [8]. Gobbi et al proposed an optimization algorithm based on the local approximation of objective function and constraint function, and the suspension system of ground vehicle is optimized to achieve the optimal balance through grip, comfort, working space, and turning performance.…”

Section: Introductionmentioning

confidence: 95%

The Study of Optimization and Matching to Spring and Antiroll Bar Stiffness of Suspension for Multiresponse Target of Whole Vehicle under Sine-Swept Steering Input

Gao

2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

This article first leads from the specific double-wishbone suspension and multilink suspension structure form. And then systematically and detailedly analyse the change of spring's stiffness, and antiroll bar's stiffness causes the change of the side slip stiffness and rotation angle of tire, which will lead to the change of tire force, and then affect the dynamic characteristics of the whole vehicle. Based on this, the vehicle dynamics model considering the suspension is established, and the transfer function of the vehicle’s response index to steering wheel angle with coupling spring stiffness and antiroll bar stiffness is derived. Based on the dynamic theory analysis of the suspension and the whole vehicle, the multibody dynamics model of the whole vehicle with front double-wishbone suspension and rear multilink suspension was established. By calculating the frequency response characteristics of the vehicle under the sine-swept input, the frequency response index at the normal steering wheel operating frequency of 0.5 Hz was obtained. In addition, these frequency response indexes at 0.5 Hz were taken as optimization objectives, and the spring stiffness and antiroll bar stiffness of the front and rear suspension were taken as optimization variables, which were optimized by the NSGA-II algorithm. The results show that at 0.5 Hz, the gain value in the frequency response index is reduced, and the delay time is not significantly different from other group schemes, but it is not the worst; the value is within an acceptable range, and the dynamic characteristics of the car in the low frequency range have been improved.

show abstract

“…Based on the complexity of the structure of the saw machine gearbox response surface optimization is an optimization method of the multi-objective genetic algorithm (MOGA) based on the Kriging model. The Kriging model is based on sample points and response values, and uses the method of fitting response surface to predict the response values of non-sample points [37][38][39][40].…”

Section: Multi-objective Optimization Based On the Response Surfacementioning

confidence: 99%

Dynamic Performance Optimization of Circular Sawing Machine Gearbox

Wang

Wen

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

To optimize the rigidity and dynamic mechanical properties of a sawing machine and improve its processing quality and stability, a design method for the sawing machine’s gearbox was proposed. First, a lightweight design of the gearbox was realized by topology optimization. Second, the sensitivity of different design variables of the new gearbox was determined via sensitivity analysis of the objective function. Finally, multi-objective optimization was used to obtain the optimal solution for the gearbox. Considering the complexity of the internal structure of the gearbox assembly and the accuracy of the numerical calculation process, a modeling method with mass points was proposed. A comparison between the numerical calculation results and the operation mode analysis revealed that the former was accurate and can be applied to the verification of the optimized gearbox. By optimizing the vibration signals before and after, and the analysis of the end face quality of the workpiece, the results revealed that the optimized gearbox has a significantly reduced amplitude under various operating conditions. In addition, the vibration stability was improved, and the end face quality of the workpiece was significantly enhanced compared to that before optimization. This study serves as a theoretical reference for multi-body dynamics modeling and optimization of machine tools, and also outlines technical solutions for high-speed stable cutting with sawing machines.

show abstract

Multi-objective optimization of the suspension system parameters of a full vehicle model

Cited by 44 publications

References 31 publications

Dynamic Behavior and Force Analysis of the Full Vehicle Model using Newmark Average Acceleration Method

Dynamic Behavior and Force Analysis of the Full Vehicle Model using Newmark Average Acceleration Method

The Study of Optimization and Matching to Spring and Antiroll Bar Stiffness of Suspension for Multiresponse Target of Whole Vehicle under Sine-Swept Steering Input

Dynamic Performance Optimization of Circular Sawing Machine Gearbox

Contact Info

Product

Resources

About