Research And Prediction Of Influence Of Ultrasonic Strengthening Process Parameters On Surface Properties Of 20SiMn Alloy Steel

Nowadays,the technology is booming and rapid development,and the modern industrial field puts forward higher requirements on the performance and service life of components.The traditional process and process level can no longer meet people's needs.Based on the previous rolling process,the ultrasonic vibration strengthening technology uses the high frequency vibration of ultrasonic waves to composite the surface of the strengthened part.Ultrasonic vibration processing is based on the principle of longitudinal vibration of sound waves.Ultrasonic vibration tools are used to apply ultrasonic vibration to the workpiece in a certain direction.The frictional force and elastic pressure are small.The surface of the parts can be processed to produce a certain cold work hardening effect.Reduces surface roughness and increases surface hardness while also extending its working life.The finite element simulation of ultrasonic vibration extrusion processing was carried out by using ABAQUS simulation software.The plastic strain history of the surface of the material to be processed and the change of energy in the impact process were analyzed.The deformation law and energy distribution curve were obtained through analysis.The experimental selection of process parameters provides theoretical guidance.Taking 20 SiMn alloy steel as the research object,the ultrasonic vibration processing was carried out by using milligram ultrasonic processing equipment,and the metallographic structure of the material was observed.The surface of the material after ultrasonic strengthening extrusion was proved from the microscopic point of view.Performance has been significantly improved.By setting different process parameters and analyzing the experimental data,the effects of extrusion force,spindle speed,feed rate,number of extrusions and amplitude on the surface roughness and hardness of ultrasonic vibration extrusion were obtained..The results show that the surface roughness decreases with the increase of static pressure in the range of 100-400 N.When the static pressure is 400 N,the surface roughness reaches the minimum value of 0.123?m,which is 79.8% lower than that before processing.However,when the pressing force is 800 N,it will cause damage to the surface of the material and affect the surface quality.The transverse feed rate and spindle speed should be minimized under the premise of ensuring production efficiency during processing.The smaller the transverse feed rate,the smaller the surface roughness and the greater the surface hardness.At low parameters,increasing the spindle speed reduces roughness and increases hardness.Once the speed is too fast,it will result in uneven machining and affect surface quality.The number of extrusions is in the range of 1 to 8 times.With the increase of the number of extrusions,the surface roughness and the surface hardness can be reduced.From the data analysis,the roughness value is 0.174 ?m when the surface of the material is extruded 8 times.Finally,a BP artificial neural network is used to establish a prediction model for the surface roughness of the part.Through the collection of 37 sets of experimental data,the training samples were preprocessed,and MATLAB programming was used to select 15 sets of data for prediction,and the relative error values were compared with the actual measured values.The results show that the error percentage between the measured value and the predicted value is within 6%,which satisfies the error of actual processing.This model can effectively predict the surface roughness of 20 SiMn alloy steel after ultrasonic vibration extrusion processing.