Multidisciplinary Collaborative Design and Optimization of Turbine Rotors Considering Aleatory and Interval Mixed Uncertainty under a SORA Framework
The turbine rotor is the key component of the turbine, which has a great impact on the construction cost and power generation efficiency of an entire hydropower station. Receiving the torque of the runner transmission and completing the specified power generation is its main function. There are many...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/10/6/445 |
| _version_ | 1797485085227745280 |
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| author | Rong Yuan Haiqing Li Tianwen Xie Zhiyuan Lv Debiao Meng Wenke Yang |
| author_facet | Rong Yuan Haiqing Li Tianwen Xie Zhiyuan Lv Debiao Meng Wenke Yang |
| author_sort | Rong Yuan |
| collection | DOAJ |
| description | The turbine rotor is the key component of the turbine, which has a great impact on the construction cost and power generation efficiency of an entire hydropower station. Receiving the torque of the runner transmission and completing the specified power generation is its main function. There are many uncertain factors in the design, manufacture, and operation environment of a turbine rotor. Therefore, it is necessary to optimize the mechanism on the premise of ensuring that the mechanical system meets high reliability and high safety levels. This article uses the multidisciplinary reliability analysis and optimization method under random and interval uncertainty to quantitatively analyze the uncertainty factors, and then optimally solves the RBMDO problem of the turbine rotor mechanism. Through the finite element simulation analysis of the optimized design scheme, the rationality and feasibility of the obtained results are further verified. |
| first_indexed | 2024-03-09T23:13:43Z |
| format | Article |
| id | doaj.art-7ad148099b9e4a15b66658d9671ac275 |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-03-09T23:13:43Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-7ad148099b9e4a15b66658d9671ac2752023-11-23T17:39:14ZengMDPI AGMachines2075-17022022-06-0110644510.3390/machines10060445Multidisciplinary Collaborative Design and Optimization of Turbine Rotors Considering Aleatory and Interval Mixed Uncertainty under a SORA FrameworkRong Yuan0Haiqing Li1Tianwen Xie2Zhiyuan Lv3Debiao Meng4Wenke Yang5School of Mechanical Engineering, Chengdu University, Chengdu 610106, ChinaSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Mechanical Engineering, Chengdu University, Chengdu 610106, ChinaThe turbine rotor is the key component of the turbine, which has a great impact on the construction cost and power generation efficiency of an entire hydropower station. Receiving the torque of the runner transmission and completing the specified power generation is its main function. There are many uncertain factors in the design, manufacture, and operation environment of a turbine rotor. Therefore, it is necessary to optimize the mechanism on the premise of ensuring that the mechanical system meets high reliability and high safety levels. This article uses the multidisciplinary reliability analysis and optimization method under random and interval uncertainty to quantitatively analyze the uncertainty factors, and then optimally solves the RBMDO problem of the turbine rotor mechanism. Through the finite element simulation analysis of the optimized design scheme, the rationality and feasibility of the obtained results are further verified.https://www.mdpi.com/2075-1702/10/6/445mixed uncertaintymultidisciplinary design optimizationsequence optimizationcollaborative optimizationturbine rotor |
| spellingShingle | Rong Yuan Haiqing Li Tianwen Xie Zhiyuan Lv Debiao Meng Wenke Yang Multidisciplinary Collaborative Design and Optimization of Turbine Rotors Considering Aleatory and Interval Mixed Uncertainty under a SORA Framework Machines mixed uncertainty multidisciplinary design optimization sequence optimization collaborative optimization turbine rotor |
| title | Multidisciplinary Collaborative Design and Optimization of Turbine Rotors Considering Aleatory and Interval Mixed Uncertainty under a SORA Framework |
| title_full | Multidisciplinary Collaborative Design and Optimization of Turbine Rotors Considering Aleatory and Interval Mixed Uncertainty under a SORA Framework |
| title_fullStr | Multidisciplinary Collaborative Design and Optimization of Turbine Rotors Considering Aleatory and Interval Mixed Uncertainty under a SORA Framework |
| title_full_unstemmed | Multidisciplinary Collaborative Design and Optimization of Turbine Rotors Considering Aleatory and Interval Mixed Uncertainty under a SORA Framework |
| title_short | Multidisciplinary Collaborative Design and Optimization of Turbine Rotors Considering Aleatory and Interval Mixed Uncertainty under a SORA Framework |
| title_sort | multidisciplinary collaborative design and optimization of turbine rotors considering aleatory and interval mixed uncertainty under a sora framework |
| topic | mixed uncertainty multidisciplinary design optimization sequence optimization collaborative optimization turbine rotor |
| url | https://www.mdpi.com/2075-1702/10/6/445 |
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