Scaling design strategy for experimental rotor systems subjected to restricted support stiffness
Publication type: Journal Article
Publication date: 2022-09-01
scimago Q1
wos Q1
SJR: 1.126
CiteScore: 10.3
Impact factor: 5.1
ISSN: 0307904X, 18728480
Applied Mathematics
Modeling and Simulation
Abstract
• The proposed scaling strategy ensures dynamic similarity by optimizing structural parameters of rotor systems . • The distance between disk and bearing has significant influence on the first-order critical speed in optimization process. • Increasing the weighing coefficient of a certain order of critical speed effectively reduces the deviation in optimization. • The optimized GDSM rotor predicts the prototype more accurately than the SSM rotor. • Such scaling strategy practically guides the design and manufacturing of experimental rotor systems. It is difficult to perform practical experiments on working gas turbine rotors due to the factors of safety and implementability etc. Therefore, it is of great importance to design a well-scaled test rig that can accurately predict the dynamic characteristics of a prototype rotor. In this paper, a design method for scaled rotor systems considering dynamic similarity and restricted support stiffness is proposed. The structural similarity coefficients of the strictly scaled model (SSM) in a rotor system are obtained based on the similarity theory and scaling law. Key optimization parameters and ranges are determined through sensitivity analysis. By genetic algorithm, the geometrically distorted scaled model (GDSM) in rotor system with dynamic similarity is established to modify the SSM rotor. Moreover, modal experiments are carried out to verify the validity of the proposed scaling design method. Results show that the type, number and accuracy of optimized parameters are important in optimization design. The critical speed of the first three orders of the GDSM rotor are very close to ones in the prototype, and the maximum percentage deviation is 1.18%. Experimental results show that the rotor developed by the geometrically distorted scaling method is able to reflect the dynamic properties of prototype accurately despite the slightly distorted partial structural parameters. Such proposed design method can provide a highlight in the design and manufacturing of the key components of gas turbine rotors for laboratory.
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Total citations:
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Citations from 2024:
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(44.44%)
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Zhao R., Jiao Y., Qu X. Scaling design strategy for experimental rotor systems subjected to restricted support stiffness // Applied Mathematical Modelling. 2022. Vol. 109. pp. 265-282.
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Zhao R., Jiao Y., Qu X. Scaling design strategy for experimental rotor systems subjected to restricted support stiffness // Applied Mathematical Modelling. 2022. Vol. 109. pp. 265-282.
Cite this
RIS
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TY - JOUR
DO - 10.1016/j.apm.2022.04.005
UR - https://doi.org/10.1016/j.apm.2022.04.005
TI - Scaling design strategy for experimental rotor systems subjected to restricted support stiffness
T2 - Applied Mathematical Modelling
AU - Zhao, Runchao
AU - Jiao, Yinghou
AU - Qu, Xiuquan
PY - 2022
DA - 2022/09/01
PB - Elsevier
SP - 265-282
VL - 109
SN - 0307-904X
SN - 1872-8480
ER -
Cite this
BibTex (up to 50 authors)
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@article{2022_Zhao,
author = {Runchao Zhao and Yinghou Jiao and Xiuquan Qu},
title = {Scaling design strategy for experimental rotor systems subjected to restricted support stiffness},
journal = {Applied Mathematical Modelling},
year = {2022},
volume = {109},
publisher = {Elsevier},
month = {sep},
url = {https://doi.org/10.1016/j.apm.2022.04.005},
pages = {265--282},
doi = {10.1016/j.apm.2022.04.005}
}