Reliability based multidisciplinary design optimization of cooling turbine blade considering uncertainty data statistics
| Autor: | Wenjing Gao, Huan Wan, Lei Li, Honglin Li, Fujuan Tong |
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| Rok vydání: | 2018 |
| Předmět: |
Control and Optimization
Turbine blade Computer science Multidisciplinary design optimization 0211 other engineering and technologies 02 engineering and technology Aerodynamics Computer Graphics and Computer-Aided Design Computer Science Applications law.invention 020303 mechanical engineering & transports 0203 mechanical engineering Control and Systems Engineering law Heat transfer Statistics Engineering design process Software Reliability (statistics) 021106 design practice & management Weibull distribution Interpolation |
| Zdroj: | Structural and Multidisciplinary Optimization. 59:659-673 |
| ISSN: | 1615-1488 1615-147X |
| DOI: | 10.1007/s00158-018-2081-5 |
| Popis: | Considering the coupling among aerodynamic, heat transfer and strength, a reliability based multidisciplinary design optimization method for cooling turbine blade is introduced. Multidisciplinary analysis of cooling turbine blade is carried out by sequential conjugated heat transfer analysis and strength analysis with temperature and pressure interpolation. Uncertainty data including the blade wall, rib thickness, elasticity Modulus and rotation speed is collected. Data statistics display the probability models of uncertainty data follow three-parameter Weibull distribution. The thickness of blade wall, thickness and height of ribs are chosen as design variables. Kriging surrogate model is introduced to reduce time-consuming multidisciplinary reliability analysis in RBMDO loop. The reliability based multidisciplinary design optimization of a cooling turbine blade is carried out. Optimization results shows that the RBMDO method proposed in this work improves the performance of cooling turbine blade availably. |
| Databáze: | OpenAIRE |
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