Details
| Original language | English |
|---|---|
| Article number | 051012 EN |
| Journal | Journal of Engineering for Gas Turbines and Power |
| Volume | 144 |
| Issue number | 5 |
| Early online date | 21 Feb 2022 |
| Publication status | Published - 1 May 2022 |
Abstract
Casings of machinery and support structures have an influence on the rotordynamic behavior, which is commonly considered by simplified models (e.g., one degree-of-freedom models). These are in many cases insufficient. Hence, more accurate modeling approaches are required, which can be used in the design process or the rotordynamic calculation to achieve a better representation of the overall vibrational behavior. To study the effects of casing and supporting structures on rotordynamics, the casing modal parameters of an axial compressor are determined by an experimental modal analysis. In parallel, a numerical model is established. As experimental data are rarely found in the literature, this work focuses on the parameter identification of the casing structure. The results are subsequently incorporated into a model updating strategy, in order to tune and improve the numerical model. Experimental and numerical data are compared to assess the quality of the data and the results gained. The ultimate objective is a reduced order model, which can be integrated in existing rotordynamic tools via an interface while keeping the calculation time low.
ASJC Scopus subject areas
- Energy(all)
- Nuclear Energy and Engineering
- Energy(all)
- Fuel Technology
- Engineering(all)
- Aerospace Engineering
- Energy(all)
- Energy Engineering and Power Technology
- Engineering(all)
- Mechanical Engineering
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In: Journal of Engineering for Gas Turbines and Power, Vol. 144, No. 5, 051012 EN, 01.05.2022.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Determining the Influence of Casing Vibrational Behavior on Rotordynamics
AU - Amer, Mona
AU - Paehr, Martin
AU - Scheidt, Lars Panning Von
AU - Seume, Joerg R.
AU - Schmied, Joachim
N1 - Funding Information: The authors kindly thank the Forschungsvereinigung Verbren-nungskraftmaschinen e.V. (FVV) for funding this research project. Thanks also go to Delta JS for providing the 2000 software and their support.
PY - 2022/5/1
Y1 - 2022/5/1
N2 - Casings of machinery and support structures have an influence on the rotordynamic behavior, which is commonly considered by simplified models (e.g., one degree-of-freedom models). These are in many cases insufficient. Hence, more accurate modeling approaches are required, which can be used in the design process or the rotordynamic calculation to achieve a better representation of the overall vibrational behavior. To study the effects of casing and supporting structures on rotordynamics, the casing modal parameters of an axial compressor are determined by an experimental modal analysis. In parallel, a numerical model is established. As experimental data are rarely found in the literature, this work focuses on the parameter identification of the casing structure. The results are subsequently incorporated into a model updating strategy, in order to tune and improve the numerical model. Experimental and numerical data are compared to assess the quality of the data and the results gained. The ultimate objective is a reduced order model, which can be integrated in existing rotordynamic tools via an interface while keeping the calculation time low.
AB - Casings of machinery and support structures have an influence on the rotordynamic behavior, which is commonly considered by simplified models (e.g., one degree-of-freedom models). These are in many cases insufficient. Hence, more accurate modeling approaches are required, which can be used in the design process or the rotordynamic calculation to achieve a better representation of the overall vibrational behavior. To study the effects of casing and supporting structures on rotordynamics, the casing modal parameters of an axial compressor are determined by an experimental modal analysis. In parallel, a numerical model is established. As experimental data are rarely found in the literature, this work focuses on the parameter identification of the casing structure. The results are subsequently incorporated into a model updating strategy, in order to tune and improve the numerical model. Experimental and numerical data are compared to assess the quality of the data and the results gained. The ultimate objective is a reduced order model, which can be integrated in existing rotordynamic tools via an interface while keeping the calculation time low.
UR - http://www.scopus.com/inward/record.url?scp=85125472382&partnerID=8YFLogxK
U2 - 10.1115/1.4053123
DO - 10.1115/1.4053123
M3 - Article
AN - SCOPUS:85125472382
VL - 144
JO - Journal of Engineering for Gas Turbines and Power
JF - Journal of Engineering for Gas Turbines and Power
SN - 0742-4795
IS - 5
M1 - 051012 EN
ER -