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- W2369912357 abstract "On the basis of orthogonal experiment,the pulse electrodeposition process of Ni-Si3N4 composite coating with higher particles content on aluminum alloy substrate prepared by pulse electrodeposition process was optimized through BP neural network.The microstructure and oxidation resistance at high temperature of Ni-Si3N4 composite coatings were characterized and analyzed.The results show that the optimal electrodeposition conditions are determined as follows: the concentration of Si3N4 particles is 40 g /L; the bath temperature is 45 ℃; the stirring rate is 300 r /min and the duty clycle is 60%.The predicted data agree well with the experimental values; the relative error is small; the max error is less than 3% and the correlation coefficient is 0.99932.The composite coating deposited by the optimal synthetic condition shows dispersed Si3N4 particles and continuous Ni matrix,and there are no pores and cracks and other defects at the interface between the composite coating and the substrate.Also,the composite coating presents an excellent oxidation resistance." @default.
- W2369912357 created "2016-06-24" @default.
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- W2369912357 date "2014-01-01" @default.
- W2369912357 modified "2023-09-24" @default.
- W2369912357 title "Model Prediction of Processing-Property of Ni-Si_3N_4 Composite Coatings Based on Artificial Neural Network" @default.
- W2369912357 hasPublicationYear "2014" @default.
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