Industrial Tomography - 1st Edition - ISBN: 9781782421184, 9781782421238

Industrial Tomography

1st Edition

Systems and Applications

Editors: Mi Wang
eBook ISBN: 9781782421238
Hardcover ISBN: 9781782421184
Imprint: Woodhead Publishing
Published Date: 1st April 2015
Page Count: 772
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Table of Contents

  • Related titles
  • List of contributors
  • Woodhead Publishing Series in Electronic and Optical Materials
  • Introduction – an overview of process applications of tomographic techniques
  • Part One. Tomographic modalities
    • 1. Electrical capacitance tomography
      • 1.1. Introduction
      • 1.2. Principle of operation
      • 1.3. Image reconstruction algorithms
      • 1.4. Data acquisition system
      • 1.5. Electrical capacitance volume tomography
      • 1.6. Illustrative examples and discussion
      • 1.7. Conclusions
      • 1.8. Future trends
    • 2. Electrical impedance tomography
      • 2.1. Introduction
      • 2.2. EIT sensor
      • 2.3. Electrode modelling
      • 2.4. Signal sources
      • 2.5. Sensing strategies
      • 2.6. Sensor electronics and demodulation
      • 2.7. Data acquisition systems
      • 2.8. Imaging capability
      • 2.9. EIT data for process application
      • 2.10. Future trends
      • 2.11. Sources of further information
    • 3. Electromagnetic induction tomography
      • 3.1. Introduction
      • 3.2. Principle of operation and governing equations
      • 3.3. Solution to the forward problem
      • 3.4. Solution to the inverse problem
      • 3.5. System hardware
      • 3.6. Applications
      • 3.7. Conclusions and outlook
    • 4. Magnetic resonance imaging
      • 4.1. Introduction to MRI and NMR
      • 4.2. MRI: basic imaging principles
      • 4.3. Image contrast
      • 4.4. Basic imaging techniques
      • 4.5. Fast imaging approaches
      • 4.6. Applications in engineering
      • 4.7. Conclusions
      • 4.8. Sources of further information and advice
    • 5. Chemical species tomography
      • 5.1. Introduction
      • 5.2. Absorption spectroscopy for chemical species tomography
      • 5.3. Image reconstruction for low beam-count systems
      • 5.4. Beam array design and optimization
      • 5.5. Design of CST systems
      • 5.6. Case studies
      • 5.7. Future trends
    • 6. X-ray computed tomography
      • 6.1. Introduction
      • 6.2. Variants of X-ray computed tomography for process applications
      • 6.3. X-ray sources for process tomography
      • 6.4. X-ray detectors
      • 6.5. Attenuation measurement with X-rays
      • 6.6. Beam hardening and radiation scattering
      • 6.7. Cone-beam X-ray computed tomography for gas holdup measurements
      • 6.8. Static mixer studies with ultrafast electron beam X-ray tomography
      • 6.9. Future trends
      • 6.10. Sources of further information and advice
    • 7. Gamma-ray tomography
      • 7.1. Introduction
      • 7.2. Radioisotope sources and gamma-ray emission
      • 7.3. Gamma-ray attenuation in matter
      • 7.4. Detector and read-out systems
      • 7.5. System engineering and geometry
      • 7.6. Case studies
      • 7.7. Future trends
    • 8. Radioisotope tracer techniques
      • 8.1. Nuclear medicine imaging
      • 8.2. Industrial applications
      • 8.3. Particle tracking
    • 9. Ultrasound tomography
      • 9.1. Introduction
      • 9.2. Ultrasound theory
      • 9.3. Equipment and techniques
      • 9.4. Industrial applications
      • 9.5. Future trends
      • 9.6. Sources of further information and advice
      • 9.7. Summary
    • 10. Spectro-tomography
      • 10.1. Multidimensional process measurement requirements
      • 10.2. Multidimensional process sensing
      • 10.3. Spectral energy sensing dimension
      • 10.4. Spectro-tomography principles
      • 10.5. Spectro-tomography system implementation
      • 10.6. Demonstration and implementation
      • 10.7. Spectro-tomography application review
    • 11. Tomographic imaging in sensor networks
      • 11.1. Introduction
      • 11.2. Seismic tomography
      • 11.3. Sensor networks for volcano monitoring
      • 11.4. In-network tomographic imaging
      • 11.5. In-network tomography imaging applications
      • 11.6. Future trends in in-network tomography imaging
      • 11.7. Other sources and advice
  • Part Two. Tomographic image reconstruction
    • 12. Mathematical concepts for image reconstruction in tomography
      • 12.1. Introduction
      • 12.2. Transmission tomography
      • 12.3. Electrical tomography
      • 12.4. Diffraction tomography
      • 12.5. Future trends
      • 12.6. Further useful information
    • 13. Image reconstruction for hard field tomography
      • 13.1. Introduction and basic considerations
      • 13.2. The forward problem: projections and the Radon space
      • 13.3. The inverse problem and two-dimensional analytic image reconstruction with parallel beams
      • 13.4. The central slice theorem
      • 13.5. Implementation
      • 13.6. Algebraic image reconstruction
      • 13.7. 3D analytic image reconstruction
      • 13.8. Local tomography, limited-angle tomography, and limited-data tomography
      • 13.9. Future trends
      • 13.10. Sources of further information and advice
      • Appendix A.1: proof of rotational invariance of the 2D Fourier transform
    • 14. Direct methods for image reconstruction in electrical capacitance tomography
      • 14.1. Introduction
      • 14.2. Three typical direct algorithms for ECT
      • 14.3. Constructions of the Dirichlet-to-Neumann/Neumann-to-Dirichlet maps
      • 14.4. Calculation of the scattering transforms
      • 14.5. Reconstructed results and discussion
      • 14.6. Conclusions
      • 14.7. Future trends
      • 14.8. Further information
    • 15. Statistical image reconstruction
      • 15.1. Introduction
      • 15.2. Background
      • 15.3. Bayesian paradigm
      • 15.4. Data models
      • 15.5. Pixel-based continuous prior models
      • 15.6. Other pixel-based prior models
      • 15.7. Feature-based prior models
      • 15.8. Estimation methodology
      • 15.9. Estimation examples
      • 15.10. Discussion and future trends
  • Part Three. Tomography applications
    • 16. Applications of tomography in mineral transportation
      • 16.1. Introduction
      • 16.2. Flow pattern and flow pattern identification with industrial process tomography
      • 16.3. Mineral transportation process measurement and monitoring with industrial process tomography
      • 16.4. Industrial process tomography in multiphase-flow measurement with multisensory fusion
      • 16.5. Conclusions
    • 17. X-ray tomography of fluidized beds
      • 17.1. Introduction
      • 17.2. Imaging of fluid beds
      • 17.3. Computational models and their experimental validation
      • 17.4. Experimental studies
      • 17.5. Data evaluation
      • 17.6. Validation experiments for narrow and wide particle size distribution
      • 17.7. Comparison between different validation approaches
      • 17.8. Validation for reactor scale-up
      • 17.9. Ultrafast X-ray computer tomography
      • 17.10. Future trends
    • 18. Applications of tomography in bubble column and trickle bed reactors
      • 18.1. Introduction
      • 18.2. Bubble column reactors
      • 18.3. Trickle bed reactors
      • 18.4. Future trends
      • 18.5. Sources of further information
    • 19. Applications of tomography in reaction engineering (mixing process)
      • 19.1. Introduction
      • 19.2. Review of tomographic techniques utilized for different kinds of mixing processes
      • 19.3. How to extract information about mixing from tomographic images
      • 19.4. Application of one-plane tomography in mixing processes
      • 19.5. Mixing process monitoring by twin-plane tomographic system
      • 19.6. Other applications of tomography for mixing processes
      • 19.7. Future trends
    • 20. Applications of capacitance tomography in gas–solid fluidized bed systems
      • 20.1. Introduction to fluidized bed systems
      • 20.2. Electrical capacitance characterization of gas–solid fluidized beds
      • 20.3. Examples and discussion for electrical capacitance tomography applications in conventional fluidized beds
      • 20.4. Applications of capacitance tomography in the pharmaceutical industry
      • 20.5. Effective permittivities of mixtures and phase distributions
      • 20.6. Future trends and conclusion
    • 21. Process tomography and estimation of velocity fields
      • 21.1. Introduction
      • 21.2. Nonstationary inverse problems and state estimation
      • 21.3. Approximate nonlinear and non-Gaussian state estimation and handling modelling errors
      • 21.4. Approaches with auxiliary parameters
      • 21.5. Tomographic state space estimation of velocity fields
      • 21.6. Computational case studies
      • 21.7. Discussion
      • 21.8. Sources of further information and advice
    • 22. Applications of tomography in oil-gas industry – Part 1
      • 22.1. Introduction
      • 22.2. Seismic tomography in hydrocarbon exploration and reservoir characterization
      • 22.3. Multicomponent seismic data for reservoir characterization
      • 22.4. Simultaneous inversion of time-lapse seismic surveys for reservoir monitoring
      • 22.5. Borehole seismic surveys
      • 22.6. Future trends
      • 22.7. Sources of further information and advice
    • 23. Applications of tomography in the oil-gas industry – Part 2
      • 23.1. Introduction
      • 23.2. Cross-well electromagnetic tomography in hydrocarbon reservoir monitoring
      • 23.3. Potential of tomography in hydrocarbon production monitoring
      • 23.4. Future trends
      • 23.5. Sources of further information and advice
    • 24. Application of tomography in microreactors
      • 24.1. Introduction
      • 24.2. X-ray and γ-ray tomography
      • 24.3. X-ray and γ-ray absorption/radiography tomography
      • 24.4. Nuclear magnetic resonance imaging
      • 24.5. Positron emission tomography
      • 24.6. Electrical impedance tomography
      • 24.7. Future trends
    • 25. Applications of tomography in food inspection
      • 25.1. Introduction
      • 25.2. Description of testing method used in X-ray microtomography
      • 25.3. To date: food products studied
      • 25.4. Case studies of food products studied to date
      • 25.5. Future trends
      • 25.6. Further information
    • 26. Application of process tomography in nuclear waste processing
      • 26.1. Introduction
      • 26.2. Applications of resistance tomography
      • 26.3. Applications of other tomographic modalities
      • 26.4. Future trends
      • 26.5. Sources of further information and advice
  • Index

Description

Industrial Tomography: Systems and Applications thoroughly explores the important tomographic techniques of industrial tomography, also discussing image reconstruction, systems, and applications.

The text presents complex processes, including the way three-dimensional imaging is used to create multiple cross-sections, and how computer software helps monitor flows, filtering, mixing, drying processes, and chemical reactions inside vessels and pipelines.

Readers will find a comprehensive discussion on the ways tomography systems can be used to optimize the performance of a wide variety of industrial processes.

Key Features

  • Provides a comprehensive discussion on the different formats of tomography
  • Includes an excellent overview of image reconstruction using a wide range of applications
  • Presents a comprehensive discussion of tomography systems and their application in a wide variety of industrial processes

Readership

Applied physicists, materials scientists and engineers working in the photonics and optoelectronics industry or in the applications industries.


Details

No. of pages:
772
Language:
English
Copyright:
© Woodhead Publishing 2015
Published:
Imprint:
Woodhead Publishing
eBook ISBN:
9781782421238
Hardcover ISBN:
9781782421184

Reviews

"...an up to date compendium that will be invaluable to those involved in process tomography research and those looking to utilise tomographic methods for process measurement either as a research tool or for industrial application."--Johnson Matthey Technology Review,Industrial Tomography


About the Editors

Mi Wang Editor

Affiliations and Expertise

Professor, University of Leeds, UK