Skip to main content
Log in

Development of a direct-mapping tomography method to solve confined space problems with enhanced calculation efficiency

  • Research
  • Published:
Applied Physics B Aims and scope Submit manuscript

Abstract

This work reports an improved tomography method to solve three-dimensional (3D) reconstructions in confined space with enhanced calculation efficiency and accuracy compared to other similar approaches. Confined-space tomography methods are designed to correct the image distortion on recorded target images caused by light refraction through optical walls, such as optical engine cylinders. However, past confined space tomography methods have shortcomings in reconstruction accuracy and time efficiency, since they usually involve time-consuming iterations or numerical interpolation during calculating the mapping relationship from 3D measurement domain to 2D imaging planes. Therefore, based on the improvement and innovation of our existing confined space tomography methods, the present method developed in this work directly calculates the mapping relationship by performing reverse ray-tracings originated from imaging planes, then decides the intersection volumes with the discretized measurement domain. Numerical and experimental demonstrations of present method are, respectively, performed based on multiple simulated phantoms and a two-branch laminar flame contained inside an optical cylinder. Compared to past confined space tomography algorithms, the present method consumes ~ 40% of the computational time under the voxel size of 0.5 mm, along with slightly enhanced accuracy. Moreover, the present method becomes more efficient under smaller voxel sizes. The robustness of present method and its endurance on measurement errors are then systematically analyzed and demonstrated.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

Data availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

References

  1. X. Yang, Z. Peng, Y. Ding, Y. Du, Temperature and OH concentration measurements by ultraviolet broadband absorption of OH(X) in laminar methane/air premixed flames. Fuel 288, 119666 (2021)

    Article  Google Scholar 

  2. J. Hwang, L. Weiss, I.K. Karathanassis, P. Koukouvinis, L.M. Pickett, S.A. Skeen, Y Spatio-temporal identification of plume dynamics by 3D computed tomography using engine combustion network spray G injector and various fuels. Fuel 280, 118359 (2020)

    Article  Google Scholar 

  3. J. Emmert, M. Baroncelli, S. Von der Kley, H. Pitsch, S. Wagner, Axisymmetric linear hyperspectral absorption spectroscopy and residuum-based parameter selection on a counter flow burner. Energies 12, 2786 (2019)

    Article  Google Scholar 

  4. L. Ma, Y. Wu, W. Xu, Comparison of 2D and 3D flame topography measured by planar laser-induced fluorescence and tomographic chemiluminescence. Appl. Opt. 55, 5310–5315 (2016)

    Article  ADS  Google Scholar 

  5. L. Ma, Q. Lei, J. Ikeda, W. Xu, Y. Wu, Single-shot 3D flame diagnostic based on volumetric laser induced fluorescence (VLIF). Proc. Combust. Inst. 36, 4575–4583 (2017)

    Article  Google Scholar 

  6. Y. Wu, W. Xu, L. Ma, Kilohertz VLIF (volumetric laser induced fluorescence) measurements in a seeded free gas-phase jet in the transitionally turbulent flow regime. Opt. Laser. Eng. 102, 52–58 (2018)

    Article  ADS  Google Scholar 

  7. W. Cai, X. Li, F. Li, L. Ma, Numerical and experimental validation of a three-dimensional combustion diagnostic based on tomographic chemiluminescence. Opt. Express 21, 7050–7064 (2013)

    Article  ADS  Google Scholar 

  8. X. Li, L. Ma, Capabilities and limitations of 3D flame measurements based on computed tomography of chemiluminescence. Combust. Flame 162, 642–651 (2015)

    Article  Google Scholar 

  9. J. Floyd, A.M. Kempf, Computed tomography of chemilumines-cence (CTC): High resolution and instantaneous 3-D measurements of a matrix burner. Proc. Combust. Inst. 33, 751–758 (2011)

    Article  Google Scholar 

  10. L. Ma, Q. Lei, J. Ikeda, W. Xu, Y. Wu, C.D. Carter, Single-shot 3D flame diagnostic based on volumetric laser induced fluorescence (VLIF). Proc. Combust. Inst. 36, 4575–4583 (2017)

    Article  Google Scholar 

  11. T. Steinmann, J. Casas, P. Braud, L. David, Coupled measurements of interface topography and three-dimensional velocity field of a free surface flow. Exp. Fluids 62, 14 (2021)

    Article  Google Scholar 

  12. H.Q. Wei, Z.L. Xu, L. Zhou, J.F. Zhao, J. Yu, Effect of hydrogen-air mixture diluted with argon/nitrogen/carbon dioxide on combustion processes in confined space. Int. J. Hydrog. Energy 43, 14798–14805 (2018)

    Article  Google Scholar 

  13. H. Kobayashi, Experimental study of high-pressure turbulent premixed flames. Exp. Therm. Fluid Sci. 26, 375–387 (2002)

    Article  Google Scholar 

  14. M. Zhang, J.H. Wang, M. Chang, Z.H. Huang, Turbulent flame topology and the wrinkled structure characteristics of high pressure syngas flames up to 10 MPa. Int. J. Hydrogen. Energy 44, 15973–15984 (2019)

    Article  Google Scholar 

  15. L. Cao, B. Zhang, M.D.M. Hossain, J. Li, C. Xu, Tomographic reconstruction of light field PIV based on a backward ray-tracing technique. Meas. Sci. Technol. 32, 044007 (2021)

    Article  ADS  Google Scholar 

  16. Y. Zhang, M. Vanierschot, Determination of single and double helical structures in a swirling jet by spectral proper orthogonal decomposition. Phys. Fluids 33, 015115 (2021)

    Article  ADS  Google Scholar 

  17. L.A. Shepp, Y. Vardi, Maximum likelihood reconstruction for emission tomography. IEEE Trans. Med. Imaging 1, 113–122 (2007)

    Article  Google Scholar 

  18. M.W. Peng, Y. Guan, J.H. Liu, L. Chen, H. Wang, Z.Z. Xie, H.Y. Li, Y.P. Chen, P. Liu, P. Yan, J.S. Guo, G. Liu, Y. Shen, F. Fang, Quantitative three-dimensional nondestructive imaging of whole anaerobic ammonium-oxidizing bacteria. J. Synchrot. Radiat. 27, 753–761 (2020)

    Article  Google Scholar 

  19. S. Zhi, M. KachelrieSs, X. Mou, High-quality initial image-guided 4D CBCT reconstruction. Med. Phys. 47, 2099–2115 (2020)

    Article  Google Scholar 

  20. B.R. Halls, P.S. Hsu, S. Roy, T.R. Meyer, J.R. Gord, Two-color volumetric laser-induced fluorescence for 3D OH and temperature fields in turbulent reacting flows. Opt. Lett. 43, 2961–2964 (2018)

    Article  ADS  Google Scholar 

  21. D. Ebi, N.T. Clemens, Simultaneous high-speed 3D flame front detection and tomographic PIV. Meas. Sci. Technol. 27, 035303 (2016)

    Article  ADS  Google Scholar 

  22. J.H. Wang, M. Zhang, Y.L. Xie, Z.H. Huang, T. Kudo, H. Kobayashi, Correlation of turbulent burning velocity for syngas/air mixtures at high pressure up to 1.0 MPa. Exp. Therm. Fluid Sci. 50, 90–96 (2013)

    Article  Google Scholar 

  23. L. Ma, Q.C. Lei, Y. Wu, T.M. Ombrello, C.D. Carter, 3D mea-surements of ignition processes at 20 kHz in a supersonic combustor. Appl. Phys. B 119, 313–318 (2015)

    Article  ADS  Google Scholar 

  24. W.Y. Qi, Y.Y. Zhang, A three-color absorption/scattering imaging technique for simultaneous measurements on distributions of temperature and fuel concentration in a spray. Exp. Fluids 59, 70 (2018)

    Article  Google Scholar 

  25. L. Ma, Q. Lei, Y. Wu, W. Xu, T.M. Ombrello, C.D. Carter, From ignition to stable combustion in a cavity flameholder studied via 3D tomographic chemiluminescence at 20 kHz. Combust. Flame 165, 1–10 (2016)

    Article  Google Scholar 

  26. F. Tomas (2018) Computed tomography of chemiluminescence in interacting reacting flows. Ph.D. Dissertation, Norwegian University of Science and Technology, Norway

  27. S.M. Soloff, R.J. Adrian, Z.C. Liu, Distortion compensation for generalized stereoscopic particle image velocimetry. Meas. Sci. Technol. 8, 1441–1454 (1997)

    Article  ADS  Google Scholar 

  28. A.K. Prasad, Stereoscopic particle image velocimetry. Exp. Fluids 29, 103–116 (2000)

    Article  Google Scholar 

  29. R. Kotowski, Phototriangulation in multi-media photogrammetry. Int. Arch. Photogramm. Remote Sens. 27, 324–334 (1988)

    Google Scholar 

  30. C. Mulsow, A flexible muti-media bundle approach. ISPRS. Commission 5, 472–477 (2010)

    Google Scholar 

  31. C. Ling, H. Chen, Y. Wu, Development and validation of a reconstruction approach for three-dimensional confined-space tomography problems. Appl. Opt. 59, 10786–10800 (2020)

    Article  ADS  Google Scholar 

  32. C. Ling, H. Chen, Y. Gao, Y. Wu, Algorithm optimization of cross-interfaces computedtomography into full field. Appl. Opt. 60, 4469–4476 (2021)

    Article  ADS  Google Scholar 

  33. F. Scarano, Tomographic PIV: principles and practice. Meas. Sci. Technol. 24, 012001 (2013)

    Article  ADS  Google Scholar 

  34. G. Elsinga, F. Scarano, B. Wieneke, B.W.V. Oudheusden, Tomographic particle image velocimetry. Exp. Fluids 41, 933–947 (2006)

    Article  Google Scholar 

  35. F. Lamarche, C. Leroy, Evaluation of the volume of intersection of a sphere with a cylinder by elliptic integrals. Comput. Phys. Commun. 59, 359–369 (1990)

    Article  ADS  MathSciNet  Google Scholar 

  36. W.P. Krijnen, An inequality between the weighted average and the rowwise correlation-coefficient for proximity matrices. Psychometrika 59, 269–270 (1994)

    Article  MATH  Google Scholar 

  37. R.A. Boie, I.J. Cox, An analysis of camera noise. IEEE Trans. Pattern Anal. Mach. Intell. 14, 671–674 (1992)

    Article  Google Scholar 

  38. G. Paolillo, T. Astarita, Perspective camera model with refraction correction for optical velocimetry measurements in complex geometries. IEEE Trans. Pattern Anal. Mach. Intell. 44, 3185–3196 (2020)

    Article  Google Scholar 

  39. H. Liu, G. Paolillo, T. Astarita, C. Shui, W. Cai, Computed tomography of chemiluminescence for the measurements of flames confined within a cylindrical glass. Opt. Lett. 44, 4793–4796 (2019)

    Article  ADS  Google Scholar 

Download references

Acknowledgements

Natural Science Foundation of Beijing (3222041), National Natural Science Foundation of China (51906017), and State Key Laboratory of Engines, Tianjin University (K2021-07)

Author information

Authors and Affiliations

Authors

Contributions

Y.W. proposed the main idea. B.G. and C.L. have performed the simulation and experiments' calculation and wrote the main manuscript text. Thorough checking of the paper was done by all authors.

Corresponding author

Correspondence to Yue Wu.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gong, B., Ling, C. & Wu, Y. Development of a direct-mapping tomography method to solve confined space problems with enhanced calculation efficiency. Appl. Phys. B 129, 128 (2023). https://doi.org/10.1007/s00340-023-08075-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00340-023-08075-y

Navigation