Taxonomy of Gas Turbine Blade Defects

被引:46
作者
Aust, Jonas [1 ]
Pons, Dirk [1 ]
机构
[1] Univ Canterbury, Dept Mech Engn, Christchurch 8041, New Zealand
关键词
aero engine; blade defects; blade failure; gas turbine; NDI; NDT; MRO; ontology; visual inspection; FOREIGN OBJECT DAMAGE; FAILURE ANALYSIS; FATIGUE; ENGINE; SYSTEM;
D O I
10.3390/aerospace6050058
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
ContextThe maintenance of aero engines is intricate, time-consuming, costly and has significant functional and safety implications. Engine blades and vanes are the most rejected parts during engine maintenance. Consequently, there is an ongoing need for more effective and efficient inspection processes. PurposeThis paper defines engine blade defects, assigns root-causes, shows causal links and cascade effects and provides a taxonomy system. ApproachDefect types were identified from the literature and maintenance manuals, categorisations were devised and an ontology was created. ResultsDefect was categorised into Surface Damage, Wear, Material Separation and Material Deformation. A second categorisation identified potential causes of Impact, Environmental causes, Operational causes, Poor maintenance, Poor manufacturing and Fatigue. These two categorisations were integrated with an ontology. OriginalityThe work provides a single comprehensive illustrated list of engine blade defects, and a standardised defect terminology, which currently does not exist in the aviation industry. It proposes a taxonomy for both engine blade defects and root-causes, and shows that these may be related using an ontology.
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页数:28
相关论文
共 59 条
[1]   Novel symmetry-based gene-gene dissimilarity measures utilizing Gene Ontology: Application in gene clustering [J].
Acharya, Sudipta ;
Saha, Sriparna ;
Pradhan, Prasanna .
GENE, 2018, 679 :341-351
[2]   Early Assessment of Defects and Damage in Jet Engines [J].
Adamczuk, Rafael R. ;
Seume, Joerg R. .
2ND INTERNATIONAL THROUGH-LIFE ENGINEERING SERVICES CONFERENCE, 2013, 11 :328-333
[3]  
Aerospace Industries Association (AIA), 2018, 412 AIA NAS
[4]  
Al-Hamadani B. T., 2015, ADV COMPUTATIONAL SC, V8, P53
[5]  
Alagha H.M., 2017, THESIS
[6]  
Angelica M., 2017, INT J RECENT CONTRIB, V5, P31, DOI [10.3991/ijes.v5i2.6908, DOI 10.3991/IJES.V5I2.6908]
[7]  
[Anonymous], 2015, MULTIMEDIA ONTOLOGY
[8]   Erosion-fatigue of steam turbine blades [J].
Azevedo, C. R. F. ;
Sinatora, A. .
ENGINEERING FAILURE ANALYSIS, 2009, 16 (07) :2290-2303
[9]  
Bedi P, 2005, ICAI '05: PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 AND 2, P256
[10]   Common failures in gas turbine blades [J].
Carter, TJ .
ENGINEERING FAILURE ANALYSIS, 2005, 12 (02) :237-247