3D Temperature Field Reconstruction of Flame from Images

Article Preview

Abstract:

This paper proposes a novel algorithm of 3D temperature field reconstruction for flame. Shape of the flame is determined by visual hull technology first, and then the flame is divided into voxels, 3D temperature field is achieved after computing temperature for each voxel. Extended dynamic range irradiance images are generated in order to minimize the error of temperature field caused by overexposure or underexposure. To further improve the accuracy of the temperature field, integral operation for radiant existence of flame on camera response band is performed. The computational complexity is efficiently reduced with the lookup table between temperature and radiant existence. Calculation of flame temperature field is transformed into a convex optimization problem. Experimental results show that our algorithm is simple and flexible, and easy to implement, the results accord with physical facts

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

2009-2015

Citation:

Online since:

May 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Hllina J, Sonsky J. Time-resolved tomographic measurements of temperatures in a thermal plasma jet. Journal of Physics D: Applied Physics, 2010, 43:055202.

DOI: 10.1088/0022-3727/43/5/055202

Google Scholar

[2] Upton T D, Verhoeven D D, Hudgins D E. High-resolution computed tomography of a turbulent reacting flow. Experiments in Fluids, 2011, 50(1):125-134.

DOI: 10.1007/s00348-010-0900-6

Google Scholar

[3] Anand A, Savery D, Hall C. Three-dimensional spatial and temporal temperature imaging in gel phantoms using backscattered ultrasound. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2007, 54(1):23-31.

DOI: 10.1109/tuffc.2007.208

Google Scholar

[4] Mougenot C, Quesson B, Senneville B D, Oliveira P L, Sprinkhuizen S, Palussière J, Grenier N,Moonen C. Three-dimensional spatial and temporal temperature control with MR thermometry-guided focused ultrasound (MRgHIFU). Magnetic Resonance in Medicine, 2009, 61(3):603-614.

DOI: 10.1002/mrm.21887

Google Scholar

[5] Shimoda M, Sugano A, Kimura T, Watanabe Y, Ishiyama K. Prediction method of unburnt carbon for coal fired utility boiler using image processing technique of combustion fame. IEEE Transactions on Energy Conversion, 1990, 5(4):640-645.

DOI: 10.1109/60.63133

Google Scholar

[6] Wu Z S. Luminous fame image processing and its application in combustion monitoring [Ph. D.Dissertation], Tsinghua University, China, 1998.

Google Scholar

[7] Tu X, Yan J H, Yu L, Cen K F, Chéron B. The nature of fluctuations in a double arc argon-nitrogen plasma jet. Applied Physics Letters, 2007, 91:131501.

DOI: 10.1063/1.2789397

Google Scholar

[8] Wang S M, Zhao Y J, Wang F L. Study of reconstruction 3D temperature field of fame using OST. Journal of Engineering Thermophysics, 2002, 23(3):2404-2408.

Google Scholar

[9] Zhang X Y, Cheng Q, Lou C, Zhou H C. An improved colorimetric method for visualization of 2-D, inhomogeneous temperature distribution in a gas fired industrial furnace by radiation image processing. Proceedings of the Combustion Institute, 2011, 33:2755-2762.

DOI: 10.1016/j.proci.2010.06.119

Google Scholar

[10] Hossain M M, Yu G, Yan Y. Optical fiber imaging based tomographic reconstruction of burner flames. IEEE Transaction on Instrumentation and Measurement, 2012, 61(5):1417-1425.

DOI: 10.1109/tim.2012.2186477

Google Scholar

[11] Gilabert G, Yu G, Yan Y. Three-dimensional tomographic reconstruction of the luminosity distribution of a combustion flame. IEEE Transaction on Instrumentation and Measurement, 2012, 56(4):1300-1306.

DOI: 10.1109/tim.2007.900161

Google Scholar

[12] Debevec P E, Malik J. Recovering high dynamic range radiance maps from photographs. SIGGRAPH, 1997, 369-378.

DOI: 10.1145/1401132.1401174

Google Scholar

[13] Zhao H, Feng H J, Xu Z H, Li Q. Research on temperature distribution of combustion fames based on high dynamic range imaging. Numerical Heat Transfer, 2007, 39(7):1351-1359.

DOI: 10.1016/j.optlastec.2006.11.004

Google Scholar

[14] R. Szeliski. Rapid Octree Construction from Image Sequences. CVGIP, 1993, 58(1):23-32.

DOI: 10.1006/ciun.1993.1029

Google Scholar