Research on intelligent algorithm of ship propulsion shafting power transmission optimization

Junqi Liu

doi:10.1117/12.2645654

23 November 2022 Research on intelligent algorithm of ship propulsion shafting power transmission optimization

Junqi Liu

Proceedings Volume 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022); 123023P (2022) https://doi.org/10.1117/12.2645654
Event: Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 2022, Guangzhou, China

Abstract

To improve the comfort and safety of ships during navigation, using intelligent algorithms to optimize the design of ship propulsion shafting and improving the transmission efficiency of ship propulsion shafting is an important research direction for ship structure optimization design. By comparing and analyzing the widely used intelligent algorithms, the most suitable intelligent optimization algorithm for the transmission efficiency of ship propulsion shafting is selected from the perspective of ship shafting dynamics and tribology. Taking a ship comprehensive performance test platform as the research object, the multi-objective optimization of the power transmission of the propulsion shafting is carried out. The research shows that the optimization algorithm can effectively improve the shafting transmission efficiency, and has certain feasibility.

Citation Download Citation

Junqi Liu "Research on intelligent algorithm of ship propulsion shafting power transmission optimization", Proc. SPIE 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 123023P (23 November 2022); https://doi.org/10.1117/12.2645654

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available