Name
Title | ||
|---|---|---|
Realization of Tensile-Bending Mechanical-Thermal Coupling Fatigue Based on a Uniaxial Tensile-Fatigue Testing Device |
Abstract | ||
|---|---|---|
Lack of advanced testing technology and instrument restricted the development and application of material subjected to multiaxial mechanical-thermal coupling fatigue load. This article developed the mechanical-thermal coupling tensile-bending combined fatigue testing instrument by modifying the existing uniaxial tensile testing device and the shape of specimens. The thermal loading unit, the thermal insulation unit, and the temperature monitoring unit were integrated into the tensile testing device to obtain fatigue properties of different temperatures. A single v-notch used to adjust the ratio of bending component to tensile component was prepared on the symmetric specimen to establish the tensile-bending coupling stress state of the minimum cross section of specimens. The v-notch specimens and conventional symmetrical specimens were used on the modified instrument to test at room temperature to 600 degrees C. The performance of the modified instrument was verified through the stability of load response, the consistency of fatigue fracture process and displacement response, and the softening trend of material with the increase in temperature. The tensile-bending stress state caused by v-notch was proven through the finite-element analysis and the stress analysis based on the crack growth morphology. A deep neural network model was established by connecting the testing parameters and the tensile-bending combined stress state, and the feasibility of the model was verified by small enough training error and testing error. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TIM.2022.3197793 | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT |
Keywords | DocType | Volume |
Fatigue, Stress, Testing, Instruments, Heating systems, Temperature sensors, Loading, Fatigue, instrument, machine learning, mechanical-thermal coupling, multiaxial stress | Journal | 71 |
ISSN | Citations | PageRank |
0018-9456 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chaofan Li | 1 | 0 | 0.34 |
| Zhichao Ma | 2 | 3 | 1.47 |
| Wei Zhang | 3 | 75 | 59.96 |
| Shuai Tong | 4 | 0 | 0.34 |
| Shenghui Wang | 5 | 0 | 0.34 |
| Hongwei Zhao | 6 | 3 | 7.89 |
| Luquan Ren | 7 | 2 | 4.76 |