Cross riveting plate surface tensile fatigue test device
A technology for fatigue testing and sheet materials, which is applied in the direction of measuring devices, analyzing materials, and testing the strength of materials by applying stable tension/pressure to achieve the effect of improving efficiency and convenience
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Embodiment
[0040] refer to figure 1 , figure 2 , the present embodiment provides a cross-riveted plate surface tensile fatigue test device, which is used to realize the surface tensile fatigue test device of the cross-riveted plate 9 to be tested. The cross-riveted plate surface tensile fatigue test device includes an upper platen 11, Lower pressing plate 12, bearing balance pad 6, X-axis pressing block 7 and Y-axis pressing block 8,
[0041] The upper platen 11 and the Y-axis pressure block 8 are located above and below one of the plates of the cross riveted plates 9 to be measured, and the upper platen 11, one of the plates of the cross riveted plates 9 to be measured and the Y-axis pressure block 8 are connected by bolts and nuts;
[0042] The lower pressing plate 12 and the X-axis pressing block 7 are located above and below the other plate of the cross riveted plate 9 to be tested, and the load balancing pad 6 is located between the lower pressing plate 12 and the other plate of t...
Embodiment 2
[0051] Using the device of Example 1, carry out cross-riveted plate surface tensile fatigue test, the thickness of the plate is 1.2mm×1.1mm, the maximum load after cross riveting is 3.53kN, and the selected load of surface tensile fatigue test is: 2.12kN, respectively. 1.76kN, 1.41kN, 1.23kN, 1.06kN, the test frequency is 25Hz, the loading waveform is sine wave, the loading technical requirements are as follows image 3 As shown, the stress ratio R is 0.1, and the test termination condition is: the specimen breaks or bears 1×10 7 Cycle times are not broken.
[0052] See Table 1 for test data.
[0053] Table 1 Tensile fatigue test data of cross riveted thin plate
[0054]
[0055]
[0056] S-N curve see image 3 (The fitting model is: y=A+B*x+C*x 2 , the fitting results this time are: A=12.3, standard error=3.4; B=-3.2, standard error=1.3; C=0.2, standard error=0.1. Correlation coefficient R 2 is 0.94).
[0057] It can be seen that this example successfully obtaine...
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