关键词: 增材制造, 冷喷涂, 海洋捕食者算法, 人工神经网络, 沉积建模, 剖面预测

Abstract: Aiming at the geometric description and simulation of deposition morphology during Cold Spraying Additive Manufacturing(CSAM),an Artificial Neural Network(ANN)prediction model based on Marine Predators Algorithm(MPA)was proposed to realize the geometric control of the deposition layer's profile for CSAM machining.A double coordinate system was constructed,the three-dimensional characteristics of the gun and the part were described,the influence of particle size distribution and jet distribution on the deposition morphology was comprehensively analyzed,and the deposition profile distribution model was established.The gray correlation degree model was applied to screen the key influencing factors of the input layer parameters,and with the detailed contour points as input variables.The key parameters of the ANN model were optimized by the Marine Predator Algorithm so that an ANN model based on MPA(MPA-ANN)was constructed.By comparing the prediction results of the proposed model with those of the FNN,Gauss,PSO-ANN and BP models,the average absolute error was 0.0143mm and the correlation coefficient was 0.9986,which were better than other models,and the results showed that the cold spray deposition modeling and prediction based on MPA-ANN had better stability and prediction accuracy.

Key words: additive manufacturing, cold spray, marine predator algorithm, artificial neural network, deposition modeling, profile prediction