基于折射率匹配方法的球床三维重构

doi:10.11889/j.0253-3219.2017.hjs.40.100606

Nuclear Techniques ›› 2017, Vol. 40 ›› Issue (10): 100606-100606.doi: 10.11889/j.0253-3219.2017.hjs.40.100606

• NUCLEAR ENERGY SCIENCE AND ENGINEERING • Previous Articles

A 3D-reconstruction research on the visual liquid-pebble bed

LIN Dafu^1,2, LIU Fengrui^1,2, CHEN Xingwei¹, YAN Rui¹, MEI Mudan¹, ZHANG Jie¹, ZOU Yang¹

1. Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Jiading Campus, Shanghai 201800, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China

Received:2017-06-01 Revised:2017-07-14 Online:2017-10-10 Published:2017-09-29
Supported by:
Supported by Strategic Priority Research Program of Chinese Academy of Sciences (No.XDA02001002), the Frontier Science Key Program of Chinese Academy of Sciences (No.QYZDY-SSW-JSC016)

Abstract

Abstract: Background:Thorium-based molten salt reactor with solid fuel (TMSR-SF) is one type of the fourth nuclear power plant which combines high-temperature graphite-matrix coated-particle pebble fuel for hightemperature gas-cooled reactors and liquid salts developed for the molten salt reactors.The design of TMSR-SF requires detailed understanding of the packing structure of the pebble bed in reactor core.Purpose:This article is aimed to explore the effectiveness of refractive index matched scanning technique (RIMS) in the 3D-reconstruction of reactor core.Methods:The cross sections of the pebble bed are imaged by a charge-coupled device (CCD),then the threshold transformation,filter transformation and Hough transformation are used to process the images,and the coordinates of points on the spheres'edge are extracted.Then an algorithm is used to acquire the relative center coordinates of each sphere.Results:The result shows that excluding irrelevant distractors can improve the accuracy of the 3D-reconstruction,and creating region of interest (ROI) to make threshold transformation is a good method to enhance circles'edges,and when the circles in the images distort,minimum bounding rectangle (MBR) functions is more effective than Hough circle transformation.Conclusion:Our scheme of reconstruction can reconstruct the 3D packing structure of the pebble bed with the mean distance-overlapped which is 1.43 mm,and this precision needs to be improved later.

Key words: RIMS, Image processing, Visual liquid-pebble bed, 3D-reconstrution, Regularly arranged pebble bed

CLC Number:

TL99

LIN Dafu, LIU Fengrui, CHEN Xingwei, YAN Rui, MEI Mudan, ZHANG Jie, ZOU Yang. A 3D-reconstruction research on the visual liquid-pebble bed[J].Nuclear Techniques, 2017, 40(10): 100606-100606.

References

1 David LeBlanc. Molten salt reactors:a new beginning for an old idea[J]. Nuclear Engineering and Design, 2010, 240:1644-1656.
2 Benenati R, Brosilow C B. Void fraction distribution in beds of spheres[J]. Aiche Journal, 1962, 8(3):359-361. DOI:10.1002/aic.690080319.
3 Mueller G. Radial porosity in packed beds of spheres[J]. Powder Technology, 2010, 203(3):626-633. DOI:10.1016/j.powtec.2010.07.007.
4 Auwerda G J, Kloosterman J, Lathouwers D, et al. Macroscopic and microscopic packing properties of experimental and computational pebble beds[J]. Nuclear Technology, 2013, 183(3):272-286.
5 Nguyen N L, Van Buren V, Von Garnier A, et al. Application of magnetic resonance imaging (MRI) for investigation of fluid dynamics in trickle bed reactors and of droplet separation kinetics in packed beds[J]. Chemical Engineering Science, 2005, 60(22):6289-6297. DOI:10.1016/j.ces.2005.04.083.
6 Wiederseiner S, Andreini N, Epely-Chauvin G, et al. Refractive-index and density matching in concentrated particle suspensions:a review[J]. Experiments in Fluids, 2011, 50(5):1183-1206. DOI:10.1007/s00348-010-0996 -8.
7 艾淑芳, 闫钧华, 李大雷, 等. 遥感图像中的机场跑道检测算法[J]. 电光与控制, 2017, 24(2):43-46. DOI:10.3969/j.issn.1671-637X.017.0.009.AI Shufang, YAN Junhua, LI Dalei, et al. An algorithm for detecting the airport runway in remote sensing image[J]. Electronics Optics & Control, 2017, 24(2):43-46. DOI:10.3969/j.issn.1671-637X.017.0.009.
8 雷浩鹏. 数字图像去噪算法研究及应用[D]. 长沙:长沙理工大学, 2010. DOI:10.7666/d.Y1699449.LEI Haopeng. The research and application of digital image de-noising algorithm[D]. Changsha:Changsha University of Science & Technology, 2010. DOI:10.7666/d.Y1699449.
9 于仕琪, 刘瑞祯. 学习OpenCV[M]. 北京:清华大学出版社, 2009.YU Shiqi, LIU Ruizhen. Learning OpenCV[M]. Beijing:Tstinghua University Press, 2009.
10 杨治明, 周齐国. 基于霍夫变换理论的图形识别[J]. 重庆工业高等专科学校学报, 2002, 17(4):16-17. DOI:10.3969/j.issn.1673-1999.2002.04.005.YANG Zhiming, ZHOU Qiguo. The recognition of the geometric figure based on the Hough transformation theory[J]. Journal of Chongqing Polytechnic College, 2002, 17(4):16-17. DOI:10.3969/j.issn.1673-1999. 2002.04.005.

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A 3D-reconstruction research on the visual liquid-pebble bed

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