Experimental Study On Turning Of DT4E Pure Iron Material

Electrical iron has excellent physical and mechanical properties,such as excellent impact toughness,magnetic properties and plasticity.It has been widely used in aerospace,energy development and national defense security,for example,electrical pure iron materials are used in frisbee of explosion experiments,aviation instrument panel and physical experiments.However,the higher plasticity and toughness of electrical pure iron brings many difficulties in the cutting process,such as large chip deformation,severe cutting hardness,severe tool wear,severe tool wear affecting machining accuracy and restricting machining efficiency.Therefore,the research on the turning of DT4 E pure iron material can reveal the wear mechanism of the tool,and then adopt effective cooling lubrication to suppress the tool wear and improve the machining accuracy,which is of great significance for promoting the further application of electric iron.In this paper,for the electrician pure iron DT4 E,the turning experiment under different tool materials and different cooling lubrication methods is carried out,and the tool life prediction is also carried out.The main work is as follows:(1)Firstly,the matching experiment of pure iron and tool materials was carried out.The pure iron turning experiment was carried out using the hard alloy tool HTI10,the coated tool VP15 TF and the cermet tool NX3035,using scanning electron microscopy(SEM)and elemental energy spectrum analyzer(EDS)explores the form of tool wear,analyzes the mechanism of tool wear,and compares tool wear,cutting force,and machined surface quality.The results show that the tool with the best compatibility with pure iron material is cermet NX3035.The cermet tool has the least tool wear,the most stable cutting force and the best surface quality.(2)Under the dry cooling,low-temperature liquid nitrogen,micro-lubrication(MQL),cutting oil four kinds of cooling lubrication mode,the cermet tool NX3035 was used in pure iron turning experiments,according to the experimental results to analyze how the cooling and lubrication methods impact the cutting process.The results show that under the MQL cooling lubrication mode,the tool wears the slowest,MQL can effectively play the dual role of cooling and lubrication,which can significantly reduce the influence of pure iron adhering on tool wear,and greatly suppress the tool wear.By forming a boundary lubrication film,MQL significantly reduces the friction coefficient between pure iron and the tool,resulting inless cutting force during cutting.The boundary lubrication film can also reduce the friction between the tool and the machined surface,thereby improving The quality of the machined surface.(3)Using Taylor’s empirical formula method,artificial neural network migration learning algorithm and support vector regression machine algorithm(SVR)to predict the tool life of cermet tools in pure iron turning,and compare the prediction accuracy of the three algorithms.The verification results show that the SVR has the ability to fit and generalize,obtains the highest prediction accuracy.The traditional Taylor formula has the worst fitting effect and the lowest prediction accuracy.