DESIGN AND DECOUPLING OPTIMIZATION OF MAGNETORHEOLOGICAL ENGINE SUSPENSION SYSTEM

SHEN YuRui; FANG CongMin; WANG NingNing; YANG YuPing; LIU XinHua

doi:10.16579/j.issn.1001.9669.2021.03.026

您当前的位置：

首页 >

文章列表页 >

DESIGN AND DECOUPLING OPTIMIZATION OF MAGNETORHEOLOGICAL ENGINE SUSPENSION SYSTEM

更新时间：2022-09-22

- DESIGN AND DECOUPLING OPTIMIZATION OF MAGNETORHEOLOGICAL ENGINE SUSPENSION SYSTEM
- Journal of Mechanical Strength Vol. 43, Issue 3, Pages: 693-699(2021)
- 作者机构：
  
  1. 中国矿业大学机电工程学院
- 作者简介：
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2021.03.026
  CLC：
扫描看全文
SHEN YuRui, FANG CongMin, WANG NingNing, et al. DESIGN AND DECOUPLING OPTIMIZATION OF MAGNETORHEOLOGICAL ENGINE SUSPENSION SYSTEM. [J]. 43(3):693-699(2021)
DOI：

SHEN YuRui, FANG CongMin, WANG NingNing, et al. DESIGN AND DECOUPLING OPTIMIZATION OF MAGNETORHEOLOGICAL ENGINE SUSPENSION SYSTEM. [J]. 43(3):693-699(2021) DOI： 10.16579/j.issn.1001.9669.2021.03.026.

摘要

设计了一种基于磁流变液的发动机悬置装置,并利用有限元分析软件Ansoft Maxwell进行了磁场仿真。介绍了磁流变发动机动力总成悬置系统的减振原理,并对其进行了动力学分析。建立了磁流变悬置系统的动力学解耦计算模型,并通过果蝇优化算法进一步优化磁流变悬置系统的结构参数。

Abstract

The engine suspension device based on magnetorheological fluid is designed,and the magnetic field simulation is performed by using Ansoft Maxwell. The vibration reduction principle of powertrain suspension system is presented and analyze its dynamics. The decoupling calculation model of magnetorheological suspension system is established, and the structural parameters of magnetorheological suspension system are optimized by fruit fly optimization algorithm.

关键词

磁流变液发动机悬置解耦优化果蝇优化算法

Keywords

Magnetorheological fluidEngine suspensionDecoupling and optimizationFruit fly optimization algorithm

references

Views

195

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

MILLING OF WEAK RIGID PARTS BASED ON MRF FLEXIBLE AUXILIARY SUPPORT

SOLVING INVERSE KINEMATICS PROBLEM OF REDUNDANT ROBOT BASED ON IMPROVED FRUIT FLY OPTIMIZTION ALGORITHM

MOTOR BEARING FAULT DIAGNOSIS BASED ON RELEVANCE VECTOR MACHINE OPTIMIZE BY IMPROVED FRUIT FLY OPTIMIZATION ALGORITHM

OPTIMIZED SVM BASED ON IMPROVED FOA AND ITS APPLICATION IN FAULT DAIGNOSIS

Related Author

No data

Related Institution

School of Mechanical Engineering, University of Shanghai for Science and Technology

School of Automation,Huai’an Vocational College of Information Technology

Department of Locomotive and Rolling Stock,Baotou Railway Vocation ＆ Technical College

Department of Basic Education,Zhejiang Agriculture and Business College

⁰