Finite Element Structure Analysis of Automobile Suspension Control Arm Based on Neural Network Control

Abstract

The control arm is an important transmission and guidance device in the Macpherson suspension system, which has an important impact on the ride comfort, operation stability, and safety of the vehicle, so it is necessary to study the structural performance of the control arm. In this paper, based on neural network control model, finite element analysis, and fatigue analysis theory, the strength, stiffness, and dynamic and fatigue performance of the control arm are studied and analyzed. Taking the ground contact force of the tire as the input condition, the static analysis of the front suspension is carried out, and the boundary condition of the load of the control arm is extracted. The finite element strength of the control arm is calculated in the OptiStruct solver under the conditions of uneven road, braking, and turning. At the same time, the longitudinal stiffness and lateral stiffness of the control arm are analyzed. The simulation results show that the control arm has better strength and stiffness performance.

Green 3D-printed lattice-shaped suspension arms for RC cars

“…Following that, computer modelling using finite element analysis (FEA) may be utilised to determine the behaviour of components under stress and how all physical stresses affect the design [8,9]. Topology optimization and lattice structures can be employed to improve mechanical properties and reduce the weight of the products [10,11].…”

Retracted: Finite Element Structure Analysis of Automobile Suspension Control Arm Based on Neural Network Control

“…Tis article has been retracted by Hindawi, as publisher, following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of systematic manipulation of the publication and peer-review process.…”