A Novel Measurement Method for Muzzle Vibration Responses Based on Image Technology

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Abstract:

The measurement of muzzle vibration responses during gun firing is one of the most important factors for successful design of gun. The use and result are limited by traditional method for the effect of firing environment, so new measurement method is required, the high-speed imaging technology is one choice. The application of high-speed imaging technology in measurement of muzzle vibration is focused on qualitative analysis, in order to discuss the quantitative analysis in this paper, images of muzzle vibration responses are obtained by using high-speed vidicon. Image pretreatment is done for post processing expediently, the process of pretreatment include de-noising by using wavelet transform method, gray processing by using averaged-value method and contrast improvement by using wavelet transform method. After image pretreatment, orientation and matching is done by using correlative matching method, and then the numerical of muzzle vibration responses during gun firing are obtained. So a novel method is afforded for measuring of muzzle vibration responses during gun firing, and the new method has practical significance in the gun’s design, research and production.

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Periodical:

Advanced Materials Research (Volumes 1006-1007)

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888-891

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August 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhang Xiang-yan. Theory of gun design [M]. Beijing: Beijing Institute of Technology Press, 2005: 10-22.

Google Scholar

[2] XU Cheng, Wang Ya-ping. Dynamics of gun and Automatic Weapon[M]. Beijing: Beijing Institute of Technology Press, 2006: 238-256.

Google Scholar

[3] Wang Bao-yuan, Shao Xiao-jun. Summarization of the Measurement Method for Muzzle Vibration Responses [J]. Journal of Gun Launch & Control, 2010, (3): 112-116.

Google Scholar

[4] Bao Jian-dong, Wang Chang-ming, Kong De-ren, He Yun-feng. Experimental research of man-gun movement influencing automatic firing accuracy [J]. Chinese Journal of Scientific Instrument, 2006, 27(6): 1274-1276.

Google Scholar

[5] Li Yong-jian. Structure Dynamics Simulation and Parameter Optimization of a Type of Machine Gun [D]. Shijiazhuang: Ordnance Engineering College, 2007, 52-61.

Google Scholar

[6] Wang Bao-yuan, Chao Hong-xiao, Shao Xiao-jun, Zhang Peng-fei, etc. Measurement Methods for Muzzle-leaving Time of Projectile [J]. ACTA ARMAMENTARII, 2012, 33(6): 736-740.

Google Scholar

[7] O Ke-yin. Research on Testing of Artillery Motion Parameters Based on Video Image Process Technology [D]. Shijiazhuang: Ordnance Engineering College, 2008, 40-48.

Google Scholar

[8] Zhou Zheng-gan, Zhao Sheng, An Zhen-gang. Research on Automatic Inspection Techniques of Real-Time Radiography for Turbine-Blade [J]. Chinese Journal of Mechanical Engineering, 2005, 41(4): 180-184.

DOI: 10.3901/jme.2005.04.180

Google Scholar

[9] Shen Lin, Yang Jinhua, Han Fuli, Jiang Huilin, etc. Research on Laser Beam Divergence Angle Measurement Method Based on Spot Image [J]. ACTA ARMAMENTARII, 2011, 32(7): 890-895.

Google Scholar

[10] Zhao Zhi-gang, Guan Cong-hui. Wavelet Image De-noising Based on Multi-Scale Edge Detection and Adaptive Threshold [J]. Chinese Journal of Scientific Instrument, 2007, 28(2): 288-292.

Google Scholar

[11] Chen Xia, Hu Hong-li, Zhang Juan, Zhou Qu-lan. An ECT System Based on Improved RBF Network and Adaptive Wavelet Image Enhancement for Solid/Gas Two-phase Flow [J]. Chinese Journal of Chemical Engineering, 2012, 20(2): 359-367.

DOI: 10.1016/s1004-9541(12)60399-1

Google Scholar

[12] Wang Yan-song, Ruan Qiu-qi. Application of Image Orientation and Matching Algorithm Based on Correlative Matching Method [J]. Journal of Northern Jiaotong University, 2007, 28(2): 288-292.

Google Scholar