Abstract
Wind turbine main shaft usually works on the top of the wind turbine. As one of the key components of the main transmission chain of wind turbine, its reliability and quality not only affect its own service life, but also produce stress to other components in the wind turbine. In order to improve the operating conditions of the wind turbine, this study optimized the maximum stress response and volume of the wind turbine main shaft. The structural parameters of main shaft are optimized by multiobjective particle swarm optimization algorithm. Meanwhile, the Kriging model is also used to predict the stress response of the main shaft during the optimization process. At the end of the optimization, the multi-objective optimization of the stress response and volume of the wind turbine main shaft under specific load conditions is realized, which improves the reliability of the main shaft and reduces the mass of the main shaft.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
