Evaluation of grain size using the ultrasonic attenuation rate

被引:4
作者
Li, Xiongbing [1 ]
Song, Yongfeng [1 ]
Hu, Hongwei [2 ]
Ni, Peijun [3 ]
机构
[1] CAD/CAM Institute, Central South University, Changsha
[2] College of Automotive and Mechanical Engineering, Changsha University of Science & Technology, Changsha
[3] The Ningbo Branch, Ordnance Science Institute of China, Ningbo
来源
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2015年 / 51卷 / 14期
关键词
Attenuation rate; Grain size; Thickness; Ultrasonic nondestructive evaluation;
D O I
10.3901/JME.2015.14.001
中图分类号
学科分类号
摘要
The current ultrasonic nondestructive methods for evaluating grain size require the thickness of the object to be highly accurate, and thus reduce its practicability and its reliability of the evaluation result. Based on the propagation of acoustic beams in material, the attenuation characteristics of first and second bottom-wall echo as against the front-wall echo are described, and the parameter of ultrasonic attenuation rate exclusive of the thickness is derived, both transmission coefficient and reflection coefficient are used to correct the ultrasonic attenuation rate. Taking the ultrasonic attenuation rate as the acoustic eigenvalue, an ultrasonic nondestructive evaluation model for mean grain size is presented. The proposed method is validated through the use of TP304 stainless steel frequently used in nuclear power plant, and a comparison is conducted between our method and the traditional methods such as ultrasonic velocity, attenuation and backscatter. The results show that the sensitivity of our method is notably better than that of the ultrasonic velocity method and the relative error of the developed method is greatly lower than that of the backscatter method when the thickness of the block is less than 6 mm. Furthermore, the presented method effectively restrains the adverse impact on the grain size evaluation induced by the thickness, which is demonstrated by the fact that a TP304 square tube with wall thickness not convenient to measure, the mean grain sizes of measured by the attenuation method, the proposed method and the metallographic method are (100.3±2.8) μm, (96.7±3.4) μm and (93.1±1.8) μm, respectively. ©, 2015, Journal of Mechanical Engineering. All right reserved.
引用
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页码:1 / 7
页数:6
相关论文
共 18 条
[1]  
Yang D., Chen W., Wu Y., Dynamic recrystallization microstructure grain size prediction and performance analysis of 7075 aluminum alloy prepared by equal channel angular pressing, Journal of Mechanical Engineering, 50, 6, pp. 87-93, (2014)
[2]  
Lehto P., Remes H., Saukkonen T., Et al., Influence of grain size distribution on the Hall-Petch relationship of welded structural steel, Materials Science and Engineering: A, 592, pp. 28-39, (2014)
[3]  
Galvis E.A.R., Hormaza W., Characterization of failure modes for different welding processes of AISI/SAE 304 stainless steels, Engineering Failure Analysis, 18, 7, pp. 1791-1799, (2011)
[4]  
Voort G.F.V., Measuring the grain size of specimens with non-equiaxed grains, Practical Metallography, 50, 4, pp. 239-251, (2013)
[5]  
Schwartz A.J., Kumar M., Adams B.L., Et al., Electron Backscatter Diffraction in Materials Science, (2009)
[6]  
Sabbagh E.H., Sabbagh H.A., Murphy R.K., Et al., Modeling anisotropic grain noise in eddy-current NDE: Reliability assessment of inverse problems, Proceedings of the 35th Annual Review of Progress in Quantitative Nondestructive Evaluation, pp. 742-749, (2009)
[7]  
Ma S., Yuan K., Nondestructive ultrasound test and evaluation of average grain diameter in SUS306 stainless steel, Journal of Shanghai University, 16, 2, (2010)
[8]  
Ghoshal G., Turner J.A., Diffuse ultrasonic backscatter at normal incidence through a curved interface, The Journal of the Acoustical Society of America, 128, 6, pp. 3449-3458, (2010)
[9]  
Du H.L., Lonsdale C., Oliver J., Et al., Evaluation of railroad wheel steel with lamellar duplex microstructures using diffuse ultrasonic backscatter, Journal of Nondestructive Evaluation, 32, 4, pp. 331-340, (2013)
[10]  
Unal R., Sarpun I.H., Yalim H.A., Et al., The mean grain size determination of boron carbide (B4C)-aluminium (Al) and boron carbide (B4C)-nickel (Ni) composites by ultrasonic velocity technique, Materials Characterization, 56, 3, pp. 241-244, (2006)