Algorithm design and virtual instrument implementation for ultrasonic recognition of ceramic devices
LIU Yu1, HE Shengping2, HE Xiping1, WANG Jie1, ZHOU Yue1
1.Shaanxi Provincial Key Lab of Ultrasonics, College of Physics and Information Technology, Shaanxi Normal University,Xi’an 710119, China;
2. Branch Box 1, P.O. Box 116, Luzhou 646000, China
Abstract:In order to prevent the loaned important items from being forged and replaced, we created an algorithm of ultrasonic fingerprint recognizing and compiled an identification program.On this foundation,we developed a virtual instrument-- Industrial Computer to identify the ultrasonic anti-counterfeiting of ceramic using ultrasonic detection card.It is able to select varied envelope detection , adjust the gain nimbly and transmitted and received simultaneously while using this Industrial Computer.A great quantity experimental results show that the ceramic devices with the same appearance can be distinguished by the Industrial Computer.Then we studied the influence on the recognition results of the factors such as the rotation, displacement, different pressure on the probe and the change of the surface. The experimental results show that the technology can effectively identify the ceramic devices with the same appearance with the testing in different shape, material, pressure and boundary conditions.Our Industrial Computer established a well foundation to realize the intelligent, automatic, integrated and miniaturization of ultrasonic anti-counterfeiting identification system.
Keywords: ultrasonic-testing; virtual instrument; ceramic material; scattering signal; ultrasonic fingerprint
刘昱1,贺升平2,贺西平1,王杰1,周越1. 对陶瓷器件超声识别的算法设计及虚拟仪器实现[J]. 振动与冲击, 2022, 41(17): 254-261.
LIU Yu1, HE Shengping2, HE Xiping1, WANG Jie1, ZHOU Yue1. Algorithm design and virtual instrument implementation for ultrasonic recognition of ceramic devices. JOURNAL OF VIBRATION AND SHOCK, 2022, 41(17): 254-261.
[1] Bruce Thompson R, Margetan F J, Haldipur P, et al. Scattering of elastic waves in simple and complex poly crystals [J]. Wave Motion, 2008, 45: 655-674.
[2] Hualong Du, Joseph A.Turner. Ultrasonic attenuation in pearlitic steel [J]. Ultrasonics, 2013, 54: 882-887.
[3] Smith R.L.The effect of grain size distribution on the frequency dependence of the ultrasonic attenuation in polycrystalline materials [J]. Ultrasonics, 1982, 20: 211-214.
[4] Hirao M, Aoki K,Fukuoka H.Texture of polycrystalline metals characterized by ultrasonic velocity measurements [J]. Journal of the Acoustical Society of America,1987, 81: 1434-1440.
[5] Yang L, Li J, Lobkis O I, et al. Ultrasonic propagation and scattering in duplex duplex microstructures with Application to Titanium Alloys [J]. Journal of Nondestructive Evaluation, 2012, 31: 270-283.
[6] Badidi Bouda A, Lebaili S, Benchaala A. Grain size influence on ultrasonic velocities and attenuation [J]. NDT & E International, 2003, 36: 1- 5.
[7] Sarpün H I, Kılıçkaya S M. Mean grain size determination in marbles by ultrasonic first backwall echo height measurements [J]. NDT&E International, 2005, 39: 82-86.
[8] Palanichamy P, Joseph A, Jayakumar T, et al. Ultrasonic velocity measurements for estimation of grain size in austenitic stainless steel [J]. NDT & E International, 1995, 28: 179-185.
[9] Laux D, Cros B, Despaux G, et al. Ultrasonic study of UO2: Effects of porosity and grain size on ultrasonic attenuation and velocities [J]. Journal of Nuclear Materials, 2002, 300: 192-197.
[10] 宋永锋, 李雄兵, 吴海平, 等. ln718晶粒尺寸对超声背散射信号的影响及其无损评价方法 [J]. 金属学报, 2016, 52: 378–384.
Song Yongfeng, LI Xiongbing, Wu Haiping, et al. Effects of In718 grain size on ultrasonic backscatting signals and its nondestructive evaluation method [J]. Acta Metallurgica Sinica, 2016, 52: 378–384.
[11] Özkan V, Sarpün H I, Erol A. et al. Influence of mean grain size with ultrasonic velocity on microhardness of B4C-Fe-Ni composite [J]. Journal of Alloys&Compounds, 2013, 574: 521-519.
[12] Vijayalakshmi K, Muthupandi V, Jayachitra R. Influence of heat treatment on the microstructure, ultrasonic attenuation and hardness of SAF 2205 duplex stainless steel [J]. Materials Science and Engineering: A, 2011,529: 447-451.
[13] Murthy G V S, Ghosh S, Das M, et al. Correlation between ultrasonic velocity and indentation-based mechanical properties with microstructure in Nimonic 263 [J].Materials Science &Engineering: A, 2008, 488: 398-405.
[14] Marino D, Kim Y J, Ruiz A, et al. Using nonlinear ultrasound to track microstructural changes due to thermal aging in modified 9%Cr ferritic martensitic steel [J]. NDT & E International, 2016, 79: 46-52.
[15] 刘小荣, 贺西平, 崔东等. 基于超声衰减谱的金属材料无损辨识 [J]. 无损检测, 2015, 35: 47-50.
Liu Xiaorong, He Xiping, Cui Dong, et al. Nondestructive identification of metal materials based on ultrasonic attenuation spectrum [J]. NDT, 2015, 35: 47-50.
[16] 安笑笑, 贺西平, 卢康. 基于加权欧氏距离的陶瓷器超声波识别方法, 电子学报.2018,7: 1737-1741.
An Xiaoxiao, He Xiping, Lu Kang. Identification of ceramic using ultrasonic pulses based on the weighted euclidean distance [J]. Acta Electronica Sinica. 2018,7: 1737-1741.
[17] 卢康, 贺西平, 崔东等. 一种基于计算相关系数的成分相近金属材料的超声识别方法, 云南大学学报, 2015, 37: 410-414.
Lu Kang, He Xiping, Cui Dong, et al. A ultrasonic identification method for the metal material of similar composition based on calculating the correlation coefficient [J]. Journal of Yunnan University, 2015, 37: 410- 414.
[18] 刘小荣, 贺西平, 张宏普等. 金属材料的超声衰减特征及识别的新方法, 科学通报. 2016, 61: 844-854.
Liu Xiaorong, He Xiping, Zhang Hongpu, et al. Ultrasonic attenuation characteristics and a new method of identification of metal materials [J]. Science China Press. 2016, 61: 844-854.
[19] 概率论基础[M]. 高等教育出版社. 1997.
Foundations of Modern Probability [M]. Higher E ducation Press. 1997.
[20] 概率论与数理统计教程[M]. 高等教育出版社. 2011.
Probability Theory and Mathematical Statisti [M]. Higher Education Press. 2011.