Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/21843
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Mechanical Engineering | - |
dc.creator | Fei, CW | - |
dc.creator | Bai, GC | - |
dc.creator | Tang, WZ | - |
dc.creator | Choy, Y | - |
dc.date.accessioned | 2015-07-13T10:32:46Z | - |
dc.date.available | 2015-07-13T10:32:46Z | - |
dc.identifier.issn | 1687-8434 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/21843 | - |
dc.language.iso | en | en_US |
dc.publisher | Hindawi Publishing Corporation | en_US |
dc.rights | Copyright © 2015 Cheng-Wei Fei et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | en_US |
dc.rights | The following article: Fei, C. W., Bai, G. C., Tang, W. Z., & Choy, Y. (2015). Optimum control for nonlinear dynamic radial deformation of turbine casing with time-varying LSSVM. Advances in Materials Science and Engineering, 2015, is available at https//doi.org/10.1155/2015/680406 | en_US |
dc.title | Optimum control for nonlinear dynamic radial deformation of turbine casing with time-varying LSSVM | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 2015 | en_US |
dc.identifier.doi | 10.1155/2015/680406 | en_US |
dcterms.abstract | With the development of the high performance and high reliability of aeroengine, the blade-tip radial running clearance (BTRRC) of high pressure turbine seriously influences the reliability and performance of aeroengine, wherein the radial deformation control of turbine casing has to be concerned in BTRRC design. To improve BTRRC design, the optimum control-based probabilistic optimization of turbine casing radial deformation was implemented using time-varying least square support vector machine (T-LSSVM) by considering nonlinear material properties and dynamic thermal load. First the T-LSSVM method was proposed and its mathematical model was established. And then the nonlinear dynamic optimal control model of casing radial deformation was constructed with T-LSSVM. Thirdly, through the numerical experiments, the T-LSSVM method is demonstrated to be a promising approach in reducing additional design samples and improving computational efficiency with acceptable computational precision. Through the optimum control-based probabilistic optimization for nonlinear dynamic radial turbine casing deformation, the optimum radial deformation is 7.865 × 10-4 m with acceptable reliability degree 0.995 6, which is reduced by 7.86 × 10-5 m relative to that before optimization. These results validate the effectiveness and feasibility of the proposed T-LSSVM method, which provides a useful insight into casing radial deformation, BTRRC control, and the development of gas turbine with high performance and high reliability. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Advances in materials science and engineering, 2015, 680406 | - |
dcterms.isPartOf | Advances in materials science and engineering | - |
dcterms.issued | 2015 | - |
dc.identifier.scopus | 2-s2.0-84924368645 | - |
dc.identifier.eissn | 1687-8442 | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Fei_Optimum_Control_Nonlinear.pdf | 1.63 MB | Adobe PDF | View/Open |
Page views
114
Last Week
1
1
Last month
Citations as of Mar 24, 2024
Downloads
112
Citations as of Mar 24, 2024
SCOPUSTM
Citations
9
Last Week
0
0
Last month
0
0
Citations as of Mar 28, 2024
WEB OF SCIENCETM
Citations
3
Last Week
0
0
Last month
0
0
Citations as of Mar 28, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.