2011Machinery Design and ManufactureRequires access

Dynamic simulation analysis of the rack and pinion steering system

Wang Dong-fang

Open publisher page 0 citations

Abstract

The rigid-flexible coupling model of the rack and pinion steering system was builded up by using Pro/E software、ADAMS software and the ANSYS software,and then did it's dynamic simulation analysis and finite element analysis.The co-simulation analysis method can improve the design quality and efficiency,and it has a certain reference value.

About this research paper

What this paper is about

The rigid-flexible coupling model of the rack and pinion steering system was builded up by using Pro/E software、ADAMS software and the ANSYS software,and then did it's dynamic simulation analysis and finite element analysis.The co-simulation analysis method can improve the design quality and efficiency,and it has a certain reference value.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The rigid-flexible coupling model of the rack and pinion steering system was builded up by using Pro/E software、ADAMS software and the ANSYS software,and then did it's dynamic simulation analysis and finite element analysis.The co-simulation analysis method can improve the design quality and efficiency,and it has a certain reference value.

Key concepts: Pinion, Rack, Dynamic simulation, Software, Finite element method, Engineering, Computer science, Software package

Related papers

Back to paper searchBrowse research topicsOriginal source
Dynamic simulation analysis of the rack and pinion steering system — Research Paper | ScholarLens