Abstract
For the purpose of shortening the development period, the estimation of powerplant vibration has become more important in the early design stage, and eigenvalue analysis by FEM is commonly used to solve this problem. Eigenvalue Analysis cannot directly predict vibration levels under running conditions that affect the durability of each component and the vibration of a car body. This paper presents a new approach using FRF data from FE models for accurate prediction of engine vibration under running conditions. By applying this approach to an in-line four cylinder engine, the predicted vibration is reasonably comparable with experimental results. 3 refs., 8 figs.
Citation Formats
Suzuki, T, Tsukahara, M, Sakaguchi, M, and Takahashi, Y.
Prediction of powerplant vibration using FRF data of FE model; Dentatsu kansu wo mochiita power plant shindo yosoku.
Japan: N. p.,
1997.
Web.
Suzuki, T, Tsukahara, M, Sakaguchi, M, & Takahashi, Y.
Prediction of powerplant vibration using FRF data of FE model; Dentatsu kansu wo mochiita power plant shindo yosoku.
Japan.
Suzuki, T, Tsukahara, M, Sakaguchi, M, and Takahashi, Y.
1997.
"Prediction of powerplant vibration using FRF data of FE model; Dentatsu kansu wo mochiita power plant shindo yosoku."
Japan.
@misc{etde_625289,
title = {Prediction of powerplant vibration using FRF data of FE model; Dentatsu kansu wo mochiita power plant shindo yosoku}
author = {Suzuki, T, Tsukahara, M, Sakaguchi, M, and Takahashi, Y}
abstractNote = {For the purpose of shortening the development period, the estimation of powerplant vibration has become more important in the early design stage, and eigenvalue analysis by FEM is commonly used to solve this problem. Eigenvalue Analysis cannot directly predict vibration levels under running conditions that affect the durability of each component and the vibration of a car body. This paper presents a new approach using FRF data from FE models for accurate prediction of engine vibration under running conditions. By applying this approach to an in-line four cylinder engine, the predicted vibration is reasonably comparable with experimental results. 3 refs., 8 figs.}
place = {Japan}
year = {1997}
month = {Oct}
}
title = {Prediction of powerplant vibration using FRF data of FE model; Dentatsu kansu wo mochiita power plant shindo yosoku}
author = {Suzuki, T, Tsukahara, M, Sakaguchi, M, and Takahashi, Y}
abstractNote = {For the purpose of shortening the development period, the estimation of powerplant vibration has become more important in the early design stage, and eigenvalue analysis by FEM is commonly used to solve this problem. Eigenvalue Analysis cannot directly predict vibration levels under running conditions that affect the durability of each component and the vibration of a car body. This paper presents a new approach using FRF data from FE models for accurate prediction of engine vibration under running conditions. By applying this approach to an in-line four cylinder engine, the predicted vibration is reasonably comparable with experimental results. 3 refs., 8 figs.}
place = {Japan}
year = {1997}
month = {Oct}
}