Study On Aluminum Alloy Micro-arc Oxidation Process Model And Optimization Control Method

With the higher requirements of modern industry for the thickness,hardness,roughness and wear resistance of aluminium alloy materials,micro-arc oxidation,as a cross-disciplinary technology,has been widely studied by scholars.Micro-arc oxidation technology has a good practical value in improving the coating of aluminium,magnesium,titanium and other metals.Current research shows that the quality of micro-arc oxidation film is affected by various process parameters.There is no better scientific explanation for the current input-output model of micro-arc oxidation process,and the fuzziness of the mapping model of input parameters to output parameters of micro-arc oxidation process.In this paper,on the establishment of micro-arc oxidation process model and parameter optimization control,discussing about the complex mapping relationship between various input influence factors(current density,pulse frequency,duty cycle and oxidation time)and output film quality index(film thickness,film roughness and film hardness).The paper mainly includes the following contents:(1)By conducting experiments in the electrolyte system with specific experience ratio,the phenomena of the experiments were observed,and the film forming process of micro-arc oxidation process was summarized based on the materials,in order to grasp the mechanism of micro-arc oxidation process of aluminum alloy and pave the way for the establishment of the next model.(2)In this paper,the improved PSO-SVM algorithm is used to establish the processing model of process parameters,and the improved PSO algorithm is used to optimize the set of parameter samples by giving full play to its fast convergence of global model and high robustness of local model.SVM transforms small sample and non-linear problem into linear problem,and performs regression fitting to establish a multi-input and multi-output parameter prediction model.(3)Based on the establishment of the model,this paper designs a dual-pulse power supply with adjustable positive and negative micro-arc oxidation,and designs the power supply electrical system and power control system respectively,in order to achieve energy saving and consumption reduction of the power supply.(4)Finally,aiming at the parameter optimization problem of the multi-objective control on micro-arc oxidation process,a multi-objective optimization fuzzy control method on micro-arc oxidation process is designed,which includes a fuzzy inference based on the empirical fuzzy rules and a fuzzy control to optimize the whole process parameters based on the influence weight of input parameters on the quality of the film.In this paper,an improved PSO-SVM is used to establish and predict the model of micro-arc oxidation process,which can reduce the standard error between the model predicted value and the actual output value.On this basis,a dual-pulse power supply system with adjustable positive and negative directions is designed to reduce the power consumption of micro-arc oxidation to a certain extent.The parameter optimization of multi-objective fuzzy control method has realized the optimization effect of lifting model prediction.The research results can provide some references for the optimization of micro arc oxidation process.