Back to Search Start Over

Multidisciplinary Collaborative Design and Optimization of Turbine Rotors Considering Aleatory and Interval Mixed Uncertainty under a SORA Framework

Authors :
Rong Yuan
Haiqing Li
Tianwen Xie
Zhiyuan Lv
Debiao Meng
Wenke Yang
Source :
Machines, Vol 10, Iss 6, p 445 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

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.

Details

Language :
English
ISSN :
20751702
Volume :
10
Issue :
6
Database :
Directory of Open Access Journals
Journal :
Machines
Publication Type :
Academic Journal
Accession number :
edsdoj.7ad148099b9e4a15b66658d9671ac275
Document Type :
article
Full Text :
https://doi.org/10.3390/machines10060445