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Advances in Materials Science and Engineering
Volume 2017 (2017), Article ID 6274054, 11 pages
Research Article

Feasibility of Residual Stress Nondestructive Estimation Using the Nonlinear Property of Critical Refraction Longitudinal Wave

1Institute of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China
2College of Mechanical Engineering, Guangxi University, Nanning 530004, China
3Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle, Changsha University of Science & Technology, Changsha 410004, China
4School of Automobile and Transportation, Guangxi University of Science and Technology, Liuzhou 545006, China

Correspondence should be addressed to Han-Ling Mao; nc.ude.uxg@97lhoam and Han-Ying Mao; moc.anis@6155002yhm

Received 7 June 2017; Revised 9 October 2017; Accepted 22 October 2017; Published 14 November 2017

Academic Editor: Donato Sorgente

Copyright © 2017 Yu-Hua Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Residual stress has significant influence on the performance of mechanical components, and the nondestructive estimation of residual stress is always a difficult problem. This study applies the relative nonlinear coefficient of critical refraction longitudinal () wave to nondestructively characterize the stress state of materials; the feasibility of residual stress estimation using the nonlinear property of wave is verified. The nonlinear ultrasonic measurements based on wave are conducted on components with known stress state to calculate the relative nonlinear coefficient. Experimental results indicate that the relative nonlinear coefficient monotonically increases with prestress and the increment of relative nonlinear coefficient is about 80%, while the wave velocity only decreases about 0.2%. The sensitivity of the relative nonlinear coefficient for stress is much higher than wave velocity. Furthermore, the dependence between the relative nonlinear coefficient and deformation state of components is found. The stress detection resolution based on the nonlinear property of wave is 10 MPa, which has higher resolution than wave velocity. These results demonstrate that the nonlinear property of wave is more suitable for stress characterization than wave velocity, and this quantitative information could be used for residual stress estimation.