Characterizing Spring Durability for Automotive Ride Using Artificial Neural Network Analysis

Abstract

This paper presents the establishment of a relationship between coil spring fatigue life and automotive vertical vibration using neural network. During an automotive suspension design process, the suspension components are designed with the consideration of structure strength and fatigue life as well as the effects toward automotive ride. Hence, it is important to have a functional mathematical model to predict the fatigue life and automotive life simultaneously. To build the mathematical model, a multibody kinematic quarter model of suspension system was constructed to simulate force and acceleration time histories from the suspension system and the sprung mass of the vehicle model. The force time histories were used to predict the fatigue life of the coil spring while the acceleration time histories were converted into ISO vertical vibration index. A neural network model was created and used to fit the spring fatigue life and vehicle vertical vibration into a mathematical function. The neural network with 1 hidden layer and 2 neurons has shown a good fitting of the data with coefficient of determination as high as 0.88, 0.98, 0.96 for training, validation and testing, respectively. This constructed neural network serves to predict the vehicle vertical vibration using the spring fatigue life and suspension natural frequencies as input, and hence reduce the automotive suspension design process.

A Mobile Teaching Method of Ideological and Political Education in Colleges and Universities Based on Android Platform

“…e "leader" must actively and effectively educate and coach pupils to be good, accomplish healthy growth, and comprehensive development using the mobile teaching platform. e collaboration scores of two different communities are defined as equation (7) and the other functions are defined as in equations ( 8) and ( 9): Scores � Coll(A, B) + Dis coll(A, B), (7) Coll(A, B) � similarity(A, B), ( 8)…”

“…e warm classroom atmosphere makes it impossible to achieve deep communication between teachers and students' thoughts and emotions. Obviously, this is not in line with the characteristics of ideological and political courses, is not conducive to the dissemination of ideological and political theories, is not conducive to the effective identification and acceptance of ideological and political theories by college students, and cannot truly achieve effective education [5][6][7].…”

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

“…It plays an important role in transmitting all the forces and torques between the frame and the wheels, mitigating the impact of the road surface, attenuating the vibration, and so on. In addition, it has an important impact on the performance of the vehicle, especially the ride comfort and handling stability [1].…”