Research on multi-objective optimisation design of pump-jet propulsion

The pump-jet propulsion is a highly efficient and low-noise propulsion system for underwater vehicles, attracting widespread attention due to its superior performance. However, the complex structure presents significant challenges for performance prediction and design optimisation. Against this backdrop, this study aims to address these challenges by selecting key feature parameters from the fully parameterized configuration of the pump-jet propulsion system as optimisation design variables and developing a fully parameterized modeling method. With hydrodynamic performance and noise reduction as the optimisation objectives, a multi-objective optimisation system was established using a global intelligent optimisation algorithm. Unlike traditional design approaches, this paper introduces an innovative strategy where geometric variations are driven in a manner counter to the optimisation objectives. Through an automated process, a novel configuration was derived, demonstrating significant improvements in both hydrodynamic and noise performance compared to the original design. The findings provide valuable insights into the multi-objective performance optimisation and parameter design of propulsion systems, achieving a highly automated workflow that integrates design, simulation, and optimisation, thereby improving optimisation efficiency. The proposed method's innovation and versatility make it applicable to the design optimisation of other complex propulsion systems, offering essential technical references for future advancements in propulsion technology design.