Research On Vibration Tapping Torque Model Based On Artificial Neural Network

Compared with the traditional method of tapping, vibration tapping is a new method of compound manufacturing. It has the advantages of enhancing the torsional rigidity of manufacture system, a much lower tapping torque, much better quality of screw thread. Vibration tapping is then proved to be a practical solution to the problem of small-hole tapping in difficult-to-cut materials. A systematic investigation is therefore of great importance.Firstly, through kinematic analyses, the vibration tapping can enhance the torsional tap rigidity. The mechanism impulsive gorce of cutting tooth generation invibration tapping is shown. And the impulsive force in vibration tapping leads to reduced cutting forces and a much lower tapping torque. The impulse cutting also let the lube be easy to get in the section of cutting, it help to low the friction torque. And the theoretical results are confirmed by experiments.Secondly, based on the powerful nonlinear model building capacity, the artificial neural net work is used to establish the vibration tapping torque model. Large quantity trial of vibration tapping in different materials, such as C45 steel, 1Cr18Ni9Ti and TC4. Neural network with back propagation algorithm has been applied to predict the tapping torque model.Lastly, a numerical calculation of the tapping torque model is carried out. The results showed that, in vibration tapping, variation of decreasing vibration tapping torque results from increasing frequency, and increasing tapping torque results from increasing angle amplitude and increasing net cutting time ratio. Tapping torque is most influenced by net cutting time ratio.Morphology of teeth of vibration tapping is integrated. According above, vibration tapping is proved to be practical solution to the problem of tapping in difficult-to-cut materials.