The Study Of Electrical Discharge Machining Titanium Alloy (TC11) Parts Surface Characteristic

Due to the high temperature resistance, high thermal strength, corrosion resistance andimpact resistance and other characteristics, titanium and titanium alloy are widely used in thefield of aerospace manufacturing. But because of the viscosity of titanium alloy and the poormechanical processing performance, titanium and titanium alloy are the typicaldifficult-to-machine materials. TC11,in this paper, is widely used in the manufacture ofaircraft engine compressor disk, blade, drum, etc, also used to make the plane structure. AndTC11honeycomb seal ring structures are the most commonly used seal parts in aviationengine, aerospace gas machine, etc. Due to the big viscosity of the titanium alloy itself, andother characteristics, such as strong hardness and good abrasion resistance, mechanicalmethods processing cann’t meet the requirements. Using EDM to solute this situation.Electrical discharge machining (EDM) is not direct contact to the workpiece, without theworkpiece material hardness limitation, this way does not produce mechanical cutting force.With the development of the aviation manufacturing industry, EDM process technology in theprocessing of titanium alloy thin-walled parts, in engine blades and complicated cavity partsetc to play a more and more important role. So the related technological parameterscharacteristics of the electrical discharge machining titanium alloy and the optimizationprediction seem particularly important.Based on the summary for EDM titanium alloy (TC11) technology of research andexperience all over the world, this paper used a lot of experimental verification to prove thepossibility. By selecting a large number of experiments, chose the part of the roughingoperations of the orthogonal experimental data, using two different way to study the EDMdischarge mark size on the surface of titanium alloy parts. The first method is based on theexperimental data to establish an empirical formula. Due to the results, the formula for thesame experimental conditions of electrical discharge machining TC11titanium alloy surfacedischarge diameter size prediction has a good precision.The second method is based on the experimental data to establish a BP prediction model which is a kind of artificial neuralnetwork. Due to the experimental results, the established model has better prediction precision,according to the verification experiment proves that the prediction accuracy is95%or more, itcan be applied to practical production. Finally, this paper compared the two kinds offorecasting method, analyzed their advantages, disadvantages, and different using range. Atthe end of this paper determined the surface roughness decided by the discharge mark and putsome forward constructive suggestions.By studying electrical discharge machining TC11titanium alloy parts, this paper has acertain practical guide and reference on the optimization of machining parameters, forecasttheory and experience in data.