Process Parameters Optimization for Micro-arc Oxidation of Hot-dip Aluminum Coating on Stainless Steel
Alumina ceramic coating was gained by micro-arc oxidation of hot-dip aluminum film on stainless steel. The main properties indexes of ceramic coating include the thickness, the hardness and the surface roughness. The main process parameters determine above properties include the electric current density, the duty ratio of the pulse, the frequency of the pulse and the action time. The artificial neural network model was established to forecast the properties and optimize the process parameters for the micro-arc oxidation of aluminum film. Experimental results proved that the optimization model has high veracity and can be applied to the choice of process parameters.
Hot-dip aluminum Micro-arc oxidation Process parameter Optimization Artificial neural network
Zongwei Niu Zhiyong Li Li Li Jiayou Zhang Aihong Wang
Shandong Provincial Key Laboratory of Precision Manufacturing and Non-traditional Machining,Shandong Jinan Olympic Sports Center, Jinan 250001,China Luzhong Vocational College, Zouping 256200, China
国际会议
广州
英文
190-193
2010-11-05（万方平台首次上网日期，不代表论文的发表时间）