A Review on the Developments, Potentials and Challenges of Application of Metal Products and in Metal Industry Using Process Tomography System

Authors

  • Ling En Hong Protom-i Research Group, Infocomm Research Alliance, Control and Mechatronic Engineering Department, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Ruzairi Hj. Abdul Rahim Protom-i Research Group, Infocomm Research Alliance, Control and Mechatronic Engineering Department, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Yusri Md. Yunos Protom-i Research Group, Infocomm Research Alliance, Control and Mechatronic Engineering Department, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Mohd Hafis Izran Ishak Protom-i Research Group, Infocomm Research Alliance, Control and Mechatronic Engineering Department, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Kumeresan A. Danapalasingam Protom-i Research Group, Infocomm Research Alliance, Control and Mechatronic Engineering Department, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Ahmad Ridhwan Wahab Protom-i Research Group, Infocomm Research Alliance, Control and Mechatronic Engineering Department, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Mohd Hafiz Fazlul Rahiman School of Mechatronic Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau, Perlis, Malaysia
  • Nor Muzakkir Nor Ayob Protom-i Research Group, Infocomm Research Alliance, Control and Mechatronic Engineering Department, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Jaysuman Pusppanathan Protom-i Research Group, Infocomm Research Alliance, Control and Mechatronic Engineering Department, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Elmy Johana Mohamad Dept. of Mechatronic and Robotics Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn, 86400 Batu Pahat, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v73.4429

Keywords:

Electrical resistance tomography, electrical capacitance tomography, electrical impedance tomography, metal, steel pipes, pipelines, corrosion, erosion, defect, crack, forward and inverse problem, structural health monitoring, nondestructive testing

Abstract

This paper will provide an overall view of the developments, potentials and challenges of industrial applications involving metal products and in metal industry using process tomography system. The primary focus of the review is to highlight the differences occurred in process tomography in using metallic and non-metallic product especially involving the steel pipes which includes the differences in sensor arrangements (ERT, ECT, EIT), issues that arises in the use of metal and steel product besides in the metal production itself.

References

International Atomic Energy Agency. 2008. Industrial Process Gamma Tomography: Final Report of A Coordinated Research Project 2003–2007. Vienna, Austria.

N. Reinecke et al. 1998. Tomographic Measurement Techniques: Visualization of Multiphase Flows. Chemical Engineering Technology. 21: 7–18.

S. Ibrahim et al. 2000. Modelling to Optimize the Design of Optical Tomography Systems for Process Measurement. Symposium on Process Tomography. 18–19 May, Jurata.

S. Ibrahim et al. 2000. Optical Tomography for Process Measurement and Control. Control 2000. UKACC Int. Conference. University of Cambridge. 4–7 Sept.

Office of Energy Efficiency and Renewable Energy, U.S Department of Energy. 2001. Steel–Industry of the Future.

F. Dickin and M. Wang. 1996. Electrical Resistance Tomography for Process Applications. Meas. Sci. Technol. 7: 247–260.

J. C. Gamio et al. 2005. Visualisation of Gas-Oil Two-phase Flows in Pressurised Pipes using Electrical Capacitance Tomography. Flow Measurement and Instrumentation. 16: 129–134.

S. G. Liter et al. 2002. Electrical-Impedance Tomography for Opaque Multiphase Flows in Metallic (Electrically-Conducting) Vessels. Springfield: Sandia National Laboratories.

G. Shen and T. Li. 2007. Infrared Thermography for High- Temperature Pressure Pipe. Insight. 49(3): 151–153.

B. Lasser and D. Oehl. 2014. Corrosion Testing with Real-Time 2-D Ultrasound Camera Imaging. Inspectioneering Journal. 20(1): 31–35.

Javad Abbaszadeh et al. 2012. Optimizing the Frequency of Ultrasonic Tomography System with a Metal Pipe Conveyor. IEEE 8th International Colloquium on Signal Processing and its Applications. 52–57.

Javad Abbaszadeh, et al. 2013. Design Procedure of Ultrasonic Tomography System with Steel Pipe Conveyor. Sensors and Actuators A: Physical. 203: 215–224.

Javad Abbaszadeh, et al. 2013. Frequency Adjustment in Ultrasonic Tomography System with a Metal Pipe Conveyor. Sensors and Materials. 25(6): 379–387.

M. H. F. Rahiman, et al. 2006. Ultrasonic Transmission-mode Tomography Imaging for Liquid/Gas Two-phase Flow. IEEE Sensors Journal. 6: 1706–1715.

J. K. Na, et al. 2008. Design, Fabrication, and Characterization of Single-element Inter-digital Transducers for NDT Applications. Sensors and Actuators A: Physical. 148: 359–365.

S. W. Or, et al. 1998. Ultrasonic Wire-bond Quality Monitoring using Piezoelectric Sensor. Sensors and Actuators A: Physical. 65: 69–75.

Z. Zhu, et al. 1995. A General Dispersion Relation for Lamb-wave Sensors with Liquid-layer Loading. Sensors and Actuators A: Physical. 49: 79–84.

B. Hoyle and L. Xu. 1995. Ultrasonic Sensors, in: Process Tomography: Principles, Techniques and Applications. Butterworth-Heinemann, Oxford, UK. 119–149.

K. R. Leonard and M. K. Hinders. 2005. Lamb Wave Tomography of Pipe-like Structures. Ultrasonics. 43: 574–583.

D. Jansen and D. Hutchins. 1990. Lamb Wave Tomography. In Proceedings of IEEE Ultrasonic Symposium IEEE. 1017–1020.

P. Huthwaite and F. Simonetti. 2013. High-resolution Guided Wave Tomography. Wave Motion. 50: 979–993.

T. Lo. 1987. Seismic Borehole Tomography. Massachusetts Institute of Technology, Department of Earth, Atmospheric and Planetary Sciences.

A. Daaland et al. 2003. Tomx–High-Energy Tomographic X-ray for In-Service Inspection of Flexible Pipeline Systems. Proceedings of OMAE 2003 22nd International Conference on Offshore Mechanics and Arctic Engineering. 8–13 June, 2003. Cancun, Mexico. 1–8.

E. Gamboa et al. 2014. X-ray Microtomography Observation of Subsurface Stress Corrosion Crack Interactions in a Pipeline Low Carbon Steel. Scripta Materialia. 81: 1–3.

S. M. Ghahari et al. 2011. In Situ Synchrotron X-ray Micro-tomography Study of Pitting Corrosion in Stainless Steel. Corrosion Science. 53: 2684–2687.

I. Lima et al. 2013. Investigation of Weld Cracks by Microfocus Tomography, 12th IMEKO TC10 Workshop on Technical Diagnostics, New Perspectives in Measurements, Tools and Techniques for Industrial Applications, Florence, Italy. 149–153.

D. Sutisna et al. 2014. Flaw Detection in Welded Metal Using Magnetic Induction Tomography. Advanced Materials Research. 896: 722–725.

Z. H. Liu et al. 2012. The Application of Low Frequency Longitudinal Guided Wave Mode for the Inspection of Multi-hole Steel Floral Pipes, 10th Anglo-French Physical Acoustics Conference (AFPAC 2011). Journal of Physics: Conference Series 353. IOP Publishing Ltd. 1–8.

M. Ito et al. 2013. Applicability of X-Ray Radiography for Integrity Assessment of Aged Pipes in The JMTR, 6th International Symposium on Material Testing Reactors, Bariloche, Rio Negro, Argentina, 28–31 October

Y. Michiguchi et al. 1988. Advanced Subsurface Radar System for Imaging Buried Pipes. IEEE Transactions on Geoscience and Remote Sensing. Vol, 26. No.6, 733–740

W. Na et al. 2005. Concrete Filled Steel Pipe Inspection using Electro Magnetic Acoustic Transducer (EMAT), Smart Structures and Materials: Sensors and Smart Structures Technologies for Civil, Mechanical and Aerospace Systems, Proc. of SPIE. 5765: 74–84.

H. Lee et al. 2014. Pipe Defect Visualization and Quantification Using Longitudinal Ultrasonic Mode. International Journal of Structural Stability and Dynamics. 14(5): 1440008–1–1440008–14.

W. A. Al-Tabey. 2013. Simulation Analysis of Sensitivity fir Corrosion of Pipe Wall Using Electrical Capacitance Tomography Technique. African Journal of Engineering Research. 1(2): 49–53.

C. L. Willey et al. 2014. Guided Wave Tomography of Pipes with High-order Helical Modes. NDT&E International. 65: 8–21.

X. Ma et al. 2005. Electromagnetic Techniques for Imaging the Cross-Section Distribution of Molten Steel Flow in the Continuous Casting Nozzle. IEEE Sensors Journal. 5(2): 224–232.

X. Ma et al. 2003. Imaging the Flow Profile of Molten Steel through a Submerged Pouring Nozzle. In Proc. 3rd World Congr. Industrial Process Tomography, Banff, AB, Canada. 736–742.

Y. Norose et al. 2013. Comparative Study of Pulse Echo Method and Transmission Method with Computerized Tomography for Defect Detection Inside Billet. Proceedings of Symposium on Ultrasonic Electronics. 34: 20–22 November, 217–218.

W. P. Mason, and H. J. McSkimin. 1984. J. Acoust. Soc. Am. 20: 586.

B. Harrer et al. 2008. On the Detection of Inhomogeneities in Steel by Computed Tomography. 17th World Conference on Nondestructive Testing, 25–28 Oct, Shanghai, China.

B. Harrer et al. 2007. Röntgen-Computer-Tomographie zur Charakterisierung von Inhomogenitäten in Gussgefügen von Aluminium und Stahl. Sbd. Prakt. Metallogr. 39, G. Petzow (Hrg.). 131–136.

H. Wei and A. J. Wilkinson. 2011. Design of a Sensor Coil and Measurement Electronics for Magnetic Induction Tomography. IEEE Transactions on Instrumentation and Measurement. 60(12): 3853–3859.

H. Griffiths. 2001. Magnetic Induction Tomography. Meas. Sci. Technol. 12(8): 1126–1131.

D. S. Holder. 2005. Electrical Impedance Tomography: Methods, History, and Applications. Bristol, U.K.: Inst. Phys. Publ.

W. Yin and A. J. Peyton. 2006. A Planar EMT System for the Detection of Faults on Thin Metallic Plates. Meas. Sci. Technol. 17(8): 2130–2135.

M. Furlan et al. 2014. Application of Muon Tomography to Detect Radioactive Sources Hidden in Scrap Metal Containers. IEEE Transactions on Nuclear Science. 61(4): 2204–2209.

Downloads

Published

2015-04-13

Issue

Vol. 73 No. 6: Special Issue on Sensor Technology and Control System Applications Vol. 2

Section

Science and Engineering

License

Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.

How to Cite

A Review on the Developments, Potentials and Challenges of Application of Metal Products and in Metal Industry Using Process Tomography System. (2015). Jurnal Teknologi (Sciences & Engineering), 73(6). https://doi.org/10.11113/jt.v73.4429