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CLC number: TP301

On-line Access: 2022-04-20

Received: 2021-01-27

Revision Accepted: 2022-05-04

Crosschecked: 2021-12-03

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Citations:  Bibtex RefMan EndNote GB/T7714






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Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.4 P.555-570


Dynamic modeling and damage analysis of debris cloud fragments produced by hypervelocity impacts via image processing

Author(s):  Ru ZENG, Yan SONG, Weizhen LV

Affiliation(s):  Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Corresponding email(s):   zengru_neo@163.com, sonya@usst.edu.cn, hala_lwz@163.com

Key Words:  Debris clouds, Hypervelocity impact, Image processing, Damage estimation

Ru ZENG, Yan SONG, Weizhen LV. Dynamic modeling and damage analysis of debris cloud fragments produced by hypervelocity impacts via image processing[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(4): 555-570.

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%A Weizhen LV
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%DOI 10.1631/FITEE.2100049

T1 - Dynamic modeling and damage analysis of debris cloud fragments produced by hypervelocity impacts via image processing
A1 - Ru ZENG
A1 - Yan SONG
A1 - Weizhen LV
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
IS - 4
SP - 555
EP - 570
%@ 2095-9184
Y1 - 2022
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2100049

It is always a challenging task to model the trajectory and make an efficient damage estimation of debris clouds produced by hypervelocity impact (HVI) on thin-plates due to the difficulty in obtaining high-quality fragment images from experiments. To improve the damage estimation accuracy of HVIs on a typical double-plate Whipple shield configuration, we investigate the distributive characteristic of debris clouds in successive shadowgraphs using image processing techniques and traditional numerical methods. The aim is to extract the target movement parameters of a debris cloud from the acquired shadowgraphs using image processing techniques and construct a trajectory model to estimate the damage with desirable performance. In HVI experiments, eight successive frames of fragment shadowgraphs are derived from a hypervelocity sequence laser shadowgraph imager, and four representative frames are selected to facilitate the subsequent feature analysis. Then, using image processing techniques, such as denoising and segmentation techniques, special fragment features are extracted from successive images. Based on the extracted information, image matching of debris is conducted and the trajectory of debris clouds is modeled according to the matched debris. A comparison of the results obtained using our method and traditional numerical methods shows that the method of obtaining hypervelocity impact experimental data through image processing will provide critical information for improving numerical simulations. Finally, an improved estimation of damage to the rear wall is presented based on the constructed model. The proposed model is validated by comparing the estimated damage to the actual damage to the rear wall.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


[1]Birren F, 1969. A Grammar of Color (A Basic Treatise on the Color System of Albert H. Munsell). van Nostrand Reinhold Co., New York, USA.

[2]Chein CL, Tseng DC, 2011. Color image echancement with exact HSI color model. Int J Innov Comput Inform Contr, 7(12):6691-6710.

[3]Fu R, Shen H, Chen H, 2007. Research of automatically separating algorithm for overlap cell based on searching concave spot. Comput Eng Appl, 43(17):21-23 (in Chinese).

[4]Hu MK, 1962. Visual pattern recognition by moment invariants. IRE Trans Inform Theory, 8(2):179-187.

[5]Huang J, Ma ZX, Ren LS, et al., 2013. A new engineering model of debris cloud produced by hypervelocity impact. Int J Impact Eng, 56:32-39.

[6]Huang XG, Zhang L, Zhao ZM, et al., 2012. Microstructure transformation and mechanical properties of TiC-TiB2 ceramics prepared by combustion synthesis in high gravity field. Mater Sci Eng A, 553:105-111.

[7]Huang XG, Zhao ZM, Zhang L, 2013. Fusion bonding of solidified TiC-TiB2 ceramic to Ti-6Al-4V alloy achieved by combustion synthesis in high-gravity field. Mater Sci Eng A, 564:400-407.

[8]Huang XG, Zhao ZM, Zhang L, et al., 2014. Microstructure modification and fracture behavior of solidified TiC-TiB2 ceramic prepared by combustion synthesis in ultra-high gravity field. J Asian Ceram Soc, 2(2):144-149.

[9]Huang XG, Yin C, Huang J, et al., 2016. Hypervelocity impact of TiB2-based composites as front bumpers for space shield applications. Mater Des, 97(5):473-482.

[10]Huang ZH, Leng JS, 2010. Analysis of Hu's moment invariants on image scaling and rotation. Proc 2nd Int Conf on Computer Engineering and Technology, p.V7-476-V7-480.

[11]Jain AK, 2010. Data clustering: 50 years beyond K-means. Patt Recogn Lett, 31(8):651-666.

[12]Jayashree RA, 2013. RGB to HSI color space conversion via MACT algorithm. Proc Int Conf on Communication and Signal Processing, p.561-565.

[13]Kamiyama M, Taguchi A, 2021. Color conversion formula with saturation correction from HSI color space to RGB color space. IEICE Trans Fundam Electron Commun Comput Sci, E104.A(7):1000-1005.

[14]Kessler DJ, 1981. Sources of orbital debris and the projected environment for future spacecraft. J Spacecr Rock, 18(4):357-360.

[15]Kessler DJ, Cour-Palais BG, 1978. Collision frequency of artificial satellites: the creation of a debris belt. J Geophys Res Space Phys, 83(A6):2637-2646.

[16]Lambert M, 1997. Hypervelocity impacts and damage laws. Adv Space Res, 19(2):369-378.

[17]Li HX, Tao JL, Lu YG, 2016. Glass debris cloud contour extend calculation method research under the explosion. J Ordnan Equip Eng, 37(5):129-134 (in Chinese).

[18]Li JF, Wang KQ, Zhang D, 2002. A new equation of saturation in RGB-to-HSI conversion for more rapidity of computing. Proc Int Conf on Machine Learning and Cybernetics, p.1493-1497.

[19]Loft K, Price MC, Cole MJ, et al., 2013. A new online resource for the hypervelocity impact community and the change of debris cloud impact patterns with impact velocity. Proc Eng, 58:508-516.

[20]Masters BR, Gonzalez RC, Woods RE, 2009. Book review: digital image processing, third edition. J Biomed Opt, 14(2):029901.

[21]Munsell AH, 1939. A Color Notation (8th Ed.). Munsell Color Company, Baltimore, USA.

[22]Nishida M, Kato H, Hayashi K, et al., 2013. Ejecta size distribution resulting from hypervelocity impact of spherical projectiles on CFRP laminates. Proc Eng, 58:533-542.

[23]Piekutowski AJ, 1993. Characteristics of debris clouds produced by hypervelocity impact of aluminum spheres with thin aluminum plates. Int J Impact Eng, 14(1-4):573-586.

[24]Summers JL, 1959. Investigation of High-Speed Impact: Regions of Impact and Impact at Oblique Angles. National Aeronautics and Space Administration, USA.

[25]Teague MR, 1980. Image analysis via the general theory of moments. J Opt Soc Am, 70(8):920-930.

[26]Verma PN, Dhote KD, 2018. Characterising primary fragment in debris cloud formed by hypervelocity impact of spherical stainless steel projectile on thin steel plate. Int J Impact Eng, 120:118-125.

[27]Wang QT, Zhang QM, Huang FL, et al., 2014. An analytical model for the motion of debris clouds induced by hypervelocity impact projectiles with different shapes on multi-plate structures. Int J Impact Eng, 74:157-164.

[28]Watson E, Gulde M, Hiermaier S, 2017. Fragment tracking in hypervelocity impact experiments. Proc Eng, 204:170-177.

[29]Watson E, Maas HG, Schäfer F, et al., 2018. Trajectory based 3D fragment tracking in hypervelocity impact experiments. Int Arch Photogramm Remote Sens Spat Inform Sci, XLII-2:1175-1181.

[30]Yin C, Dadras S, Huang XG, et al., 2019. Optimizing energy consumption for lighting control system via multivariate extremum seeking control with diminishing dither signal. IEEE Trans Autom Sci Eng, 16(4):1848-1859.

[31]Yin C, Dadras S, Cheng YH, et al., 2020. Multidimensional fractional-order Newton-based extremum seeking for online light-energy saving technique of lighting system. IEEE Trans Ind Electron, 67(10):8576-8586.

[32]Zhang Q, Chen Y, Huang F, et al., 2008. Experimental study on expansion characteristics of debris clouds produced by oblique hypervelocity impact of LY12 aluminum projectiles with thin LY12 aluminum plates. Int J Impact Eng, 35(12):1884-1891.

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