My Account Log in

1 option

Experimental Study On the Energy Flow Analysis of Vibration of an Automobile Door Department of Mechanical Engineering, University of Suwon

SAE Technical Papers (1906-current) Available online

View online
Format:
Conference/Event
Author/Creator:
Kil, Hyun-Gwon, author.
Conference Name:
SAE 2005 Noise and Vibration Conference and Exhibition (2005-05-16 : Grand Traverse, Michigan, United States)
Language:
English
Physical Description:
1 online resource
Place of Publication:
Warrendale, PA SAE International 2005
Summary:
The Energy Flow Analysis (EFA) can be effectively used to predict structural vibration in medium-to-high frequency range. In this paper, Energy Flow Finite Element Method (EFFEM) based on EFA has been used to predict the vibration of an automobile door. The predicted results for the frequency response function of the door have been compared with corresponding experimental results. In the experiment, the automobile door has been divided into several subsystems and the loss factor of each subsystem has been measured. The input mobility at a source point has been also measured. The data for the loss factors and the input mobility have been used as the input data to predict the vibration of the automobile door with EFFEM. The frequency response functions have been measured over the surface of the door. The comparison between the experimental results and the predicted results for the frequency response functions showed that EFFEM could be an effective tool to predict the structural vibration
Notes:
Vendor supplied data
Publisher Number:
2005-01-2323
Access Restriction:
Restricted for use by site license

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Library Catalog Using Articles+ Library Account