Study On The Influence Of Process Parameters On Short-arc Milling Machinability

The processing of hard working metal materials,to a certain extent,restricts the breakthrough and development of many key areas in China,such as the aviation manufacturing industry,military industry and nuclear power ship manufacturing.The problems facing the pain point are difficult to solve.The short arc machining technology can greatly shorten the processing time,reduce the cost of cutting tools,and greatly improve the processing efficiency.And the short arc technology has been used in the remanufacturing industry for more than 10 years.The technology is stable,reliable,safe and environmental,and the efficiency is remarkable.However,due to the complexity and randomness of its working conditions,short arc technology also restricts people's deeper understanding of short arc.In this paper,the effect of process parameters on the performance of short arc milling is studied in order to make breakthroughs in processing technology and parameter optimization.The influence of process conditions(working medium,tool electrode material and machining polarity)on the performance of short arc milling is analyzed from the theoretical level.In order to ensure the stability and efficiency of the follow-up experimental research,the single factor experiment was designed for the above process conditions,and the optimum process conditions were selected.The experimental results showed that the mixture of gas and liquid was selected and the high pure graphite was used as the tool electrode.Work effect.The electric field model is established in this paper.The distribution of electric field intensity in the pole is analyzed by ANSYS,and the change law of electric field intensity in the change of the voltage between the poles is analyzed.A single factor experiment is designed to find out the influence of electrical parameters(pulse voltage,pulse frequency,duty cycle)on the performance of short arc milling.In addition,the flow field model is established at the same time,and Fluent software is used to analyze the influence of the non electrical parameters(working medium pressure,tool electrode speed,milling depth)on the pressure field and velocity field in the gap flow field,and a single factor experiment is designed to further find out the change of non electrical parameters.The flow field has a certain effect,which affects the processing performance.In the end,the orthogonal experiment of the processing parameters and performance evaluation indexes of short arc milling is designed.The optimal combination of processing parameters is found out.According to the experimental results,the BP neural network model is constructed to predict the evaluation index of the processing performance.Finally,the error is found to be in the effective range after comparing the predicted value to the experimental results.In order to achieve high efficiency,low loss and high quality machining of short arc milling.