<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper presents a method for the assessment of the geometrical properties of the turbine blade after a long running time. This method uses a medical imaging device (CT-Scan) to provide segmentation images of the turbine blade. Image processing technique was employed to produce the cross-sectional properties such as area, centroid, minimum moment of inertia, maximum moment of inertia, and the angle of twist of the principal axes along the blade span. This geometrical information was produced using MATLAB code and validated against Image-J software data. This method can be used as a nondestructive method to evaluate the geometry of the turbine.</p>
</abstract>

This paper presents a method for the assessment of the geometrical properties of the turbine blade after a long running time. This method uses a medical imaging device (CT-Scan) to provide segmentation images of the turbine blade. Image processing technique was employed to produce the cross-sectional properties such as area, centroid, minimum moment of inertia, maximum moment of inertia, and the angle of twist of the principal axes along the blade span. This geometrical information was produced using MATLAB code and validated against Image-J software data. This method can be used as a nondestructive method to evaluate the geometry of the turbine.

CT-Scan-Based Approach for Turbine Blade Geometry Extraction

Faculty of Engineering/ Al-Mussayib, University of Babylon in Bratislava

College of Engineering and Technology, Biomedical Engineering Department

Strojnícky časopis - Journal of Mechanical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"CT-Scan-Based Approach for Turbine Blade Geometry Extraction"}

This paper presents a method for the assessment of the geometrical properties of the turbine blade after a long running time. This method uses a medical...

CT-Scan-Based Approach for Turbine Blade Geometry Extraction

Online veröffentlicht: 23. Nov. 2023

Seitenbereich: 1 - 8

DOI: https://doi.org/10.2478/scjme-2023-0017

Schlüsselwörter
Turbine blade, CT-Scan, image processing, geometry

© 2023 Aws Al-Akam et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

CT-Scan-Based Approach for Turbine Blade Geometry Extraction

Online veröffentlicht: 23. Nov. 2023

Seitenbereich: 1 - 8

DOI: https://doi.org/10.2478/scjme-2023-0017

SchlüsselwörterTurbine blade, CT-Scan, image processing, geometry

© 2023 Aws Al-Akam et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Turbine blade, CT-Scan, image processing, geometry