| As the main propulsion device of ships,marine propellers occupies an important position in ship design and manufacturing.With the rapid development of the shipbuilding industry,higher requirements are placed on the functions of the propellers.Under this background,the design and process parameters of marine propellers have become important topic.This paper uses the quality function deployment(QFD)method to rank the importance of technical characteristics of marine propellers,and determines the main objectives of design parameter optimization based on this method,and optimizes the design parameters and process parameters of marine propellers by establishing mathematical models and response surface methods..Before optimizing the design parameters of marine propellers,the propulsion efficiency and cavitation area are determined as the main optimization goals through QFD technology through the establishment of a house of quality model.Two intelligent parameter optimization methods,BP-NSGA-II and RBF-NSGA-II,are used to optimize the design parameters of marine propellers respectively,and the optimal parameter combination and optimal optimization method are obtained through comparison.The BP-NSGA-II intelligent parameter optimization method requires comprehensive analysis and application of the BP proxy model and NSGA-II genetic algorithm.Several sets of data are obtained by experimenting with the full factor method,and then data processing and analysis are performed on the MATLAB platform.In the analysis process,first obtain the corresponding model through some data,then test the rest of the data,and finally optimize through the NSGA-II genetic algorithm to obtain the optimal solution.The RBF-NSGA-II intelligent parameter optimization method has the same principle,which is a comprehensive application of the RBF proxy model and the NSGA-II genetic algorithm.After the two methods have obtained the optimal solution combination,verification and comparison are carried out to confirm that the combination result obtained by the RBF-NSGA-Ⅱ method is more reliable.When optimizing the process parameters of marine propellers,the response surface method is used to design the experimental plan to construct the mathematical model of the cutting force and surface roughness,response surface analysis,residual probability map inspection,composite item influence relationship analysis and 3D surface map analysis to select Optimal combination of cutting parameters:When the cutting depth is 0.60 mm,the cutting speed is1956.73 r / min,and the feed rate is 0.10 mm / R,the cutting force is 122.596 N,and the surface roughness is 0.999 μM. |