Details
| Original language | English |
|---|---|
| Article number | 5191 |
| Journal | Sensors |
| Volume | 22 |
| Issue number | 14 |
| Publication status | Published - 11 Jul 2022 |
Abstract
Keywords
- borescopic fringe projection, feature segmentation, pose estimation, film-cooling holes, point cloud registration
ASJC Scopus subject areas
- Chemistry(all)
- Analytical Chemistry
- Computer Science(all)
- Information Systems
- Physics and Astronomy(all)
- Instrumentation
- Physics and Astronomy(all)
- Atomic and Molecular Physics, and Optics
- Engineering(all)
- Electrical and Electronic Engineering
- Biochemistry, Genetics and Molecular Biology(all)
- Biochemistry
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In: Sensors, Vol. 22, No. 14, 5191, 11.07.2022.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Pose Estimation and Damage Characterization of Turbine Blades during Inspection Cycles and Component-Protective Disassembly Processes
AU - Middendorf, Philipp
AU - Hinz, Lennart
AU - Blümel, Richard
AU - Raatz, Annika
AU - Kästner, Markus
AU - Reithmeier, Eduard
N1 - Funding information: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—SFB 871/3—119193472.
PY - 2022/7/11
Y1 - 2022/7/11
N2 - Inspection in confined spaces and difficult-to-access machines is a challenging quality assurance task and particularly difficult to quantify and automate. Using the example of aero engine inspection, an approach for the high-precision inspection of movable turbine blades in confined spaces will be demonstrated. To assess the condition and damages of turbine blades, a borescopic inspection approach in which the pose of the turbine blades is estimated on the basis of measured point clouds is presented. By means of a feature extraction approach, film-cooling holes are identified and used to pre-align the measured point clouds to a reference geometry. Based on the segmented features of the measurement and reference geometry a RANSAC-based feature matching is applied, and a multi-stage registration process is performed. Subsequently, an initial damage assessment of the turbine blades is derived, and engine disassembly decisions can be assisted by metric geometry deviations. During engine disassembly, the blade root is exposed to high disassembly forces, which can damage the blade root and is crucial for possible repair. To check for dismantling damage, a fast inspection of the blade root is executed using the borescopic sensor.
AB - Inspection in confined spaces and difficult-to-access machines is a challenging quality assurance task and particularly difficult to quantify and automate. Using the example of aero engine inspection, an approach for the high-precision inspection of movable turbine blades in confined spaces will be demonstrated. To assess the condition and damages of turbine blades, a borescopic inspection approach in which the pose of the turbine blades is estimated on the basis of measured point clouds is presented. By means of a feature extraction approach, film-cooling holes are identified and used to pre-align the measured point clouds to a reference geometry. Based on the segmented features of the measurement and reference geometry a RANSAC-based feature matching is applied, and a multi-stage registration process is performed. Subsequently, an initial damage assessment of the turbine blades is derived, and engine disassembly decisions can be assisted by metric geometry deviations. During engine disassembly, the blade root is exposed to high disassembly forces, which can damage the blade root and is crucial for possible repair. To check for dismantling damage, a fast inspection of the blade root is executed using the borescopic sensor.
KW - borescopic fringe projection
KW - feature segmentation
KW - pose estimation
KW - film-cooling holes
KW - point cloud registration
UR - http://www.scopus.com/inward/record.url?scp=85135104142&partnerID=8YFLogxK
U2 - 10.3390/s22145191
DO - 10.3390/s22145191
M3 - Article
VL - 22
JO - Sensors
JF - Sensors
SN - 1424-3210
IS - 14
M1 - 5191
ER -