Recent advances in virtually all areas of industrial Computed Tomography (CT) now allow faster, higher resolution, and increasingly economic CT inspection of turbine blades than ever before. CT is now used for a wide range of Non Destructive Testing and Evaluation (NDT&E) applications including first article inspection, defect detection, internal measurement, wear (and failure) analysis, and reverse engineering. Improvements range from the introduction of international standards on CT, through improvements in acquisition, reconstruction, and data extraction. Some of the most significant advances have been made in the ability to process the data generated by the CT systems. Today, CT is an increasingly practical method for the Non Destructive Testing and Evaluation of turbine blades.
Skip Nav Destination
ASME Turbo Expo 2005: Power for Land, Sea, and Air
June 6–9, 2005
Reno, Nevada, USA
Conference Sponsors:
- International Gas Turbine Institute
ISBN:
0-7918-4725-X
PROCEEDINGS PAPER
Advances in the Computed Tomography of Turbine Blades
Martin Allen,
Martin Allen
X-Tek Industrial Ltd., Great Yarmouth, Norfolk, UK
Search for other works by this author on:
Andrew T. Ramsey
Andrew T. Ramsey
X-Tek Systems, Ltd., Tring, Hertfordshire, UK
Search for other works by this author on:
Martin Allen
X-Tek Industrial Ltd., Great Yarmouth, Norfolk, UK
Andrew T. Ramsey
X-Tek Systems, Ltd., Tring, Hertfordshire, UK
Paper No:
GT2005-68112, pp. 821-834; 14 pages
Published Online:
November 11, 2008
Citation
Allen, M, & Ramsey, AT. "Advances in the Computed Tomography of Turbine Blades." Proceedings of the ASME Turbo Expo 2005: Power for Land, Sea, and Air. Volume 2: Turbo Expo 2005. Reno, Nevada, USA. June 6–9, 2005. pp. 821-834. ASME. https://doi.org/10.1115/GT2005-68112
Download citation file:
6
Views
0
Citations
Related Proceedings Papers
Related Articles
Influence of Data Acquisition Algorithms on X-Ray Phase Contrast Imaging Computed Tomography
ASME J Nondestructive Evaluation (November,2020)
Motion Compensation for Industrial Computed Tomography
ASME J Nondestructive Evaluation (August,2018)
Characterization of Fuel Cells and Fuel Cell Systems Using Three-Dimensional X-Ray Tomography
J. Fuel Cell Sci. Technol (February,2007)
Related Chapters
Application and Study on QR-Based Least-Squares Method Algorithm in Concrete Ultrasonic Computerized Tomography
International Conference on Information Technology and Computer Science, 3rd (ITCS 2011)
Measurement of Solute Transport Properties Using X-Ray Computed Tomography
Intelligent Engineering Systems through Artificial Neural Networks, Volume 20
Macropore Spatial Variability of CT-Measured Solute Transport Parameters
Intelligent Engineering Systems through Artificial Neural Networks, Volume 20