Article Article
Simulation of Tomographic Acquisition and Reconstruction Slice for Industrial Machine Rotor with Fixed-Angle Scanner

Rotating machines such as electric motors and pumps are the heart of any industrial production chain. Rotors are usually the most worn parts, and the preventive maintenance of these vital organs, although necessary, remains penalizing for the production line because the machines are stopped and disassembled for a lengthy period during the inspection phase. This paper suggests a simulation of optimized tomographic reconstruction by cone beam acquisition geometry to scan a functioning machine rotor with high X-ray energy. In this work we propose a simple design of a fixed-angle projection scanner. Rotating projections are replaced by synchro-rotation to the nominal angular velocity of the rotor. The simulation results demonstrate that it is possible to adapt the filtered back-projection algorithm to compute a tomographic image of the rotor by a single projection device.

DOI: https://doi.org/10.32548/2022.me-04263

References

Coshell, L., J. Scott, A.M. Knights, B.J. Evans, and M.W. Hill, 1991, “Non-Destructive Core Analysis Using X-Ray Computed Tomography,” Exploration Geophysics, Vol. 22, No. 1, pp. 71-74, https://doi.org/10.1071/EG991071

De Chiffre, L., S. Carmignato, J.-P. Kruth, R. Schmitt, and A. Weckenmann, 2014, “Industrial Applications of Computed Tomography,” CIRP Annals, Vol. 63, No. 2, pp. 655–677, https://doi.org/10.1016/j.cirp.2014.05.011

Glatt, E., J. Becker, S. Rief, and A. Wiegmann, 2010, “Calculation of Material Properties and Modelling of Material Geometry,” ICT 2010, 7–9 September, Kochi, Kerala, India

Hu, H., H.D. He, W.D. Foley, and S.H. Fox, 2000, “Four Multidetector-Row Helical CT: Image Quality and Volume Coverage Speed,” Radiology, Vol. 215, No. 1, pp. 55–62, https://doi.org/10.1148/radiology.215.1.r00ap3755

Jain, N., M.S. Kalra, and P. Munshi, 2011, “Characteristic Signature of Specimen Using an Approximate Formula for 3D Circular Cone-Beam Tomography,” Research in Nondestructive Evaluation, Vol. 22, No. 3, pp. 169–195, https://doi.org/10.1080/09349847.2011.577270

Kawano, H., H. Orii, H. Maeda, H. Fukushima, and N. Ikoma, 2009, “Image Enlargement with Back Projection of Lost High-Frequency Components,” 2009 ICCAS-SICE, 18–21 August, Fukuoka, Japan, pp. 1937–1940

Kharfi, F., 2013, Chapter 4: “Mathematics and Physics of Computed Tomography (CT): Demonstrations and Practical Examples,” in Imaging and Radioanalytical Techniques in Interdisciplinary Research, InTech Books, London, http://dx.doi.org/10.5772/52351

Li, Y., A. Kummert, F. Boschen, and H. Herzog, 2008, “Interpolation based Reconstruction Methods for Tomographic Imaging in 3D Positron Emission Tomography,” International Journal of Applied Mathematics and Computer Science, Vol. 18, No. 1, pp. 63–73, https://doi.org/10.2478/v10006-008-0006-y

Nagata, Y., H. Yamaji, K. Hayashi, K. Kawashima, K. Hyodo, H. Kawata, and M. Ando, 1992, “High Energy High Resolution Monochromatic X-ray Computed Tomography System Using Synchrotron Radiation,” Research in Nondestructive Evaluation, Vol. 4, No. 2, pp. 55–78, https://doi.org/10.1080/10589759208953008

Servières, M., 2005, “Reconstruction Tomographique Mojette,” thesis, Géométrie algorithmique, Université de Nantes, Ecole Centrale de Nantes (in French)

Toriwaki, J., 2006, “Visualization of Forms in the Inside of the Human Body,” Forma, Vol. 21, No. pp. 67–80

Wagner, W., 1979, “Reconstructions from Restricted Region Scan Data – New Means to Reduce the Patient Dose,” IEEE Transactions on Nuclear Science, Vol. 26, No. 2, pp. 2866–2869, https://doi.org/10.1109/TNS.1979.4330552

Wells, P., N. Fillingham, and A. Cramond, 2009, “A Study of Errors due to Reconstruction Filters in Computed Tomography,” Research in Nondestructive Evaluation, Vol. 8, No. 3, pp. 149–163, https://doi.org/10.1080/09349849609409595

Winter, Jr., J.M., R.E. Green, Jr., A.M. Waters, and W.H. Green, 1999, “X-Ray Computed Tomography of Ultralightweight Metals,” Research in Nondestructive Evaluation, Vol. 11, No. 4, pp. 199–211, https://doi.org/10.1080/09349849909409642

Zhang, P., J. Li, Y. Hao, F. Bianchi, G. Ciuti, T. Arai, Q. Huang, and P. Dario, 2018, “The Role of Computed Tomography Data in the Design of a Robotic Magnetically-Guided Endoscopic Platform,” Advanced Robotics, Vol. 32, No. 8, pp. 443–456, https://doi.org/10.1080/01691864.2018.1451776

 

Metrics
Usage Shares
Total Views
66 Page Views
Total Shares
0 Tweets
66
0 PDF Downloads
0
0 Facebook Shares
Total Usage
66