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Accuracy improvement method for dynamic substructuring models in vehicle systems.

Authors :
Kim, Jun Gu
Park, Hansol
Cho, Munhwan
Song, David P
Kang, Yeon June
Source :
Journal of Vibration & Control. Apr2022, Vol. 28 Issue 7/8, p786-798. 13p.
Publication Year :
2022

Abstract

This study proposes an improved dynamic substructuring model using the estimated frequency response function information at coupling points between substructures. An assembled system generally consists of two or more substructures connected by a bolt. Individual substructure evaluation excluding the effects of other components is important in the development stage of a general mechanical system because the vibro-acoustic performance of the system depends on the specific combination of substructures. Therefore, this study predicted the final coupling system performance using information from the initial evaluation of the individual substructures. Accurate measurements of the joint properties are required to accurately estimate the dynamic assembled system characteristics; however, physical constraints typically limit such measurements at actual coupling points. Accordingly, a method that utilizes generalized coupling properties to estimate the dynamic characteristics of a new coupling system based on the characteristics of an original substructure is proposed. Virtual point transformation is then used to estimate accurate frequency response functions at the coupling points of the assembled system based on convenient measurements. The proposed method was validated using a vehicle suspension that was hard mounted in a test jig and onto an actual vehicle body to estimate the vibration characteristics of the assembled system. The findings of this study contribute to the accurate estimation of the dynamic properties of many real-world bolt-assembled systems. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10775463
Volume :
28
Issue :
7/8
Database :
Academic Search Index
Journal :
Journal of Vibration & Control
Publication Type :
Academic Journal
Accession number :
156277126
Full Text :
https://doi.org/10.1177/1077546320983186