| contributor author | Sun, Debin | |
| contributor author | Huo, Junzhou | |
| contributor author | An, Shaoxia | |
| date accessioned | 2022-05-08T08:24:24Z | |
| date available | 2022-05-08T08:24:24Z | |
| date copyright | 2/18/2022 12:00:00 AM | |
| date issued | 2022 | |
| identifier issn | 0094-4289 | |
| identifier other | mats_144_3_031004.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4283889 | |
| description abstract | To scrupulously predict the creep-fatigue life of materials, a creep life prediction model is first proposed in this study considering real-time creep damage derived from the Kachanov creep damage model | |
| description abstract | second, combined with the Chaboche fatigue damage model and the nonlinear coupling mechanism of continuous damage mechanics, a creep-fatigue life prediction model of material is ulteriorly presented in this paper | |
| description abstract | finally, the effectiveness of the creep-fatigue life model is corroborated by experiment data of DZ125, whose prediction results are in the ± 2.0 dispersion zone and then the creep-fatigue life of the turbine blade is calculated to compare with the experimental results of the blade specimen to further prove the practicability, whose error is about 3.2%, which can provide a theoretical reference for the damage prediction, durability analysis, and life prediction of the turbine blade. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Experimental and Numerical Study of Turbine Blade Fatigue Based on a Creep-Fatigue Prediction Model | |
| type | Journal Paper | |
| journal volume | 144 | |
| journal issue | 3 | |
| journal title | Journal of Engineering Materials and Technology | |
| identifier doi | 10.1115/1.4053617 | |
| journal fristpage | 31004-1 | |
| journal lastpage | 31004-12 | |
| page | 12 | |
| tree | Journal of Engineering Materials and Technology:;2022:;volume( 144 ):;issue: 003 | |
| contenttype | Fulltext | |