scholarly journals [Paper] Multimodal Stress Estimation Using Multibiological Information: Towards More Accurate and Detailed Stress Estimation

2021 ◽  
Vol 9 (4) ◽  
pp. 276-286
Author(s):  
Takumi Nagasawa ◽  
Ryo Takahashi ◽  
Keiko Ogawa-Ochiai ◽  
Norimichi Tsumura
Keyword(s):  
2020 ◽  
Vol 52 (4) ◽  
pp. 390-399
Author(s):  
Christopher Adam Senalik ◽  
F. J. N. França ◽  
R. D. Seale ◽  
Robert J. Ross ◽  
R. Shmulsky

1991 ◽  
Vol 26 (11) ◽  
pp. 2887-2892 ◽  
Author(s):  
Toshihiro Yamada ◽  
Motohiro Satoh ◽  
Akiomi Kohno ◽  
Kazuaki Yokoi

2017 ◽  
Vol 2017 ◽  
pp. 1-11
Author(s):  
Yu-Hua Zhang ◽  
Xin-Xin Li ◽  
Xiang-Hong Wang ◽  
Zhen-Feng Huang ◽  
Han-Ling Mao ◽  
...  

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 (LCR) wave to nondestructively characterize the stress state of materials; the feasibility of residual stress estimation using the nonlinear property of LCR wave is verified. The nonlinear ultrasonic measurements based on LCR 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 LCR wave is 10 MPa, which has higher resolution than wave velocity. These results demonstrate that the nonlinear property of LCR wave is more suitable for stress characterization than wave velocity, and this quantitative information could be used for residual stress estimation.


1995 ◽  
Vol 48 (1-4) ◽  
pp. 231-237 ◽  
Author(s):  
J.M. Zhou ◽  
M. Andersson ◽  
J.E. Ståhl

2018 ◽  
Vol 85 ◽  
pp. 241-245
Author(s):  
Qian Zhang ◽  
Zheng Gong ◽  
Changkuan Zhang ◽  
Jessica R. Lacy ◽  
Bruce E. Jaffe ◽  
...  

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