Optimising of Micro Electroforming Ni-Fe Alloy Process for Microstructure
The relationship between the coating composition, microstructure and the main process parameters of Micro electroforming Ni-Fe alloys was studied in this paper. Orthogonal experimental design was applied in research. From experiment it can be concluded that the soft bake temperature and time was the key factor of the structure quality. In order to obtain the suitable parameters of the deposit, an artificial neural network (ANN) with 3 layers were built. The ANN was trained based on orthogoality experiment using back propagation algorithm. Compared to the experiment results, the prediction error was less than 2.0％, which proved that the ANN was effective. The characteristics of the micro electroforming process were analysed systematically. And the optimal process parameters to obtain Ni-20％Fe deposition was as following: FeSO4·7H2O concentration: 5.5g/L; PH value of the solution: 2.5; current density: 3.5A/dm2; electrolyte temperature: 55℃. The results indicate that the Ni-Fe deposit is bright and compact. Electrodeposited Ni-20％Fe has a strong paramagnetic effect with the smallest value of remanence 0.036mA·m2 and the coercivity:0.187kA/m The Ni Fe micro electroforming process for the fabrication of microstructure was optimised.
Ni-Fe deposit Composition Microstructure Prediction model Optimisation process
Xiaohu ZHENG Yuanwei LIU
Faculty of Mechanical Engineering Huaiyin Institute of Technology Huaian, China Key Lab. of Numeric Machining Technology Jiangsu Huaiyin Institute of Technology Huaian, China
国际会议
长沙
英文
2143-2146
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）