Study On Data Acquisition And Parameter Matching System Of Low Frequency Vibration Tapping

As a new technique, vibration tapping has the superiority of decreasing tapping torque, improving machining precision and prolonging the tap life. It is an available method. Vibration tapping is then proved to be a practical solution to the problem of small-hole tapping in difficult-to-cut materials. It has been recognized by scholars, and becomes an important part of vibration cutting. But this technique has not been applied widely. It is pivotal to optimize technological parameter for extending the technology. In this paper, low frequency vibration tapping device is developed.In this paper, the basic technological parameters are established based on the analysis of the factors of the tapping efficiency and tapping quality. The data of tapping torque are collected with the vibration-tapping device and input into EXCEL software system to deal with. Based on the database of technological parameter matching in vibration tapping, predictive model for tapping torque is established by using the Neural Network Toolbox of MATLAB, the result shows the feasibility of the predictive model.