|
|
|
| 0Cr17Ni4Cu4Nb stainless steel early damage detection using nonlinear standing wave method |
| YAN Bingsheng1, YANG Mingchao1, ZHAO Junjie1, TANG Baoping2, LIU Ziran1 |
1.School of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou 45001, China
2.College of Mechanical Engineering, Chongqing University, Chongqing 400044, China |
|
|
|
|
Abstract Here, Aiming at problems of lower signal amplitude and secondary harmonic waves being uneasy to be effectively excited and easy to be interfered in nonlinear ultrasonic longitudinal wave detection, a nonlinear standing wave detection method was proposed. The nonlinear ultrasonic longitudinal wave method and the nonlinear standing wave one were used to detect 0Cr17Ni4Cu4Nb martensitic stainless steel tensile specimens, respectively. The detection results showed that compared to the nonlinear ultrasonic longitudinal wave method, the nonlinear standing wave one can raise signal amplitude, effectively excite secondary harmonic waves generated due to non-linear interaction inside material, and improve signal-to-noise ratio of ultrasonic signals and frequency resolution of frequency spectra; the test results are basically consistent to the finite element simulation ones. Three-point bending fatigue specimens of 0Cr17Ni4Cu4Nb martensitic stainless steel were detected with the nonlinear standing wave method. It was shown that when the fatigue time is smaller than the fatigue life of 50%, normalized ultrasonic nonlinear coefficients increase with increase in fatigue life under different fatigue stresses; so the nonlinear standing wave method can better detect early damage of 0Cr17Ni4Cu4Nb stainless steel.
|
|
Received: 07 August 2018
Published: 28 June 2019
|
|
|
|
[1]SEGURA J A, CASTRO L, ROSALES I, et al. Diagnostic and failure analysis in blades of a 300MW steam turbine [J]. Engineering Failure Analysis, 2017, 82(12): 631-641.
[2]ARTEAGA C C, Rodríguez J A, CLEMENTE C M, et al. Estimation of useful life in turbines blades with cracks in corrosive environment [J]. Engineering Failure Analysis, 2013, 35(12): 575-589.
[3]张剑锋, 轩福贞, 项延训. 材料损伤的非线性超声评价研究进展[J]. 科学通报, 2016, 61(14): 1535-1550.
ZHANG JianFeng, XUAN FuZhen, XIANG YanXun. Evaluation of material damage using nonlinear ultrasonic wave [J]. Chinese Science Bulletin, 2016, 61(14): 1535-1550
[4]APPLE T M, CANTRELL J H, AMARO C M, et al. Acoustic harmonic generation from fatigue-generated dislocation substructures in copper single crystals[J]. Philosophical Magazines, 2013, 93(21): 2802-2825.
[5]MOSTAVI A, KAMALI N, TEHRANI N, et al. Wavelet based harmonics decomposition of ultrasonic signal in assessment of plastic strain in aluminum[J]. Measurement, 2017, 106(8): 65-78.
[6]KIM G J, PARK S J, KWAK H G. Experimental characterization of ultrasonic nonlinearity in concrete under cyclic change of prestressing force using Nonlinear Resonant Ultrasonic Spectroscopy [J].Construction and Building Materials, 2017， 157(12): 700-707.
[7]张玉华,毛汉领等.基于混沌分形理论的金属疲劳损伤过程的特征分析[J].振动与冲击,2017，36(21),72-76.
Zhang Yuhua, Mao Hanling et al. Feature analysis of metal fatigue damage processes based on the chaos and fractal theory [J]. Journal Of Vibration And Shock. 2017, 36(21), 72-76.
[8]江 念, 王召巴. 脉冲反转和小波变换在非线性超声检测中的应用[J].仪表技术与传感器，2015,12:97-99.
JIANG Nian, WANG Zhao-ba, et al. Application of Pulse-Inversion Technique ang Wavelet Transform for Nonlinear Ultrasonic Nondestructive Testing [J]. Instrument Technique and Sensor, 2015,12: 97-99.
[9]Jianfeng Zhang, Fu-Zhen Xuan, Fuqian Yang, et al. Effect of plastic deformation on nonlinear ultrasonic response of austenitic stainless steel [J]. Materials Science & Engineering A .622(2015)146-152.
[10]Jun Chen, Tingyuan Yin, Jin-Yeon Kim, et al. Characterization of thermal damage in sandtone using the second harmonic generation of standing waves[J]. International Journal of Rock Mechanics & Mining Sciences. 2017(91)81-89.
[11]Breazeale M A, Thompson D O. Finite-amplitude ultrasonic waves in aluminum. Appl Phys Lett, 1963, 3: 77–78.
[12]Majid Nabavi, Kamran Siddiqui, Javad Dargahi. Measurement of the acoustic velocity field of nonlinear standing waves using the synchronized PIV technique. Experimental Thermal and Fluid Science, 2008(33), 123-131.
[13]秦明富, 曹勇, 黄志雄, 等. 马氏体沉淀硬化不锈钢0Cr17Ni4Cu4Nb冶炼工艺研究[J]. 特钢技术, 2005(1): 16-23.
Qin Mingfu, Caoyong, Huang Zhixiong, et al. Melting Process Research of Martensitic Precipitated Hardening Stainless Steel 0Cr17Ni4Cu4Nb [J]. Special Steel Technology, 2005(1):16-23.
[14] Guoshuang Shui, Jim-Yeon Kim, Jianmin Qu, et al. A new technique for measuring the acoustic nonlinearity of materials using Rayleigh waves, J. NDT&E International, 2008, 41(1):326-329
[15]颜丙生,赵俊杰,汤宝平等.频率分辨率对超声非线性系数的影响及修正方法[J].北京工业大学学报，2018,5，44（5）：783-788.
Yan Bingsheng, ZHAO Junjie, TANG Baoping, et al. Influence of Spectral Resolution on Ultrasonic Parameter and Its Correction Method [J]. JOURNAL OF BEIJING UNIVERSITY OF TECHNOLO-GY, 2018, 44(5):783-788.
|
|
|
|
