Research on overcutting recognition in milling of semi enclosed cabin sections based on force feedback
Aiming at the problem of overcutting of cavity boundary reinforcing ribs,which is easy to occur in semi-closed compartment inner cavity robotic grinding and weight reduction,an online identification method of milling overcutting based on force feedback is proposed,which adopts a six-dimensional force sensor to monitor the change of milling force in real-time,and identifies the overcutting through the setting of feature thresholds.In order to solve the current problems of difficult to select the feature thresholds and low identification accuracy,a Kalman filtering algorithm is introduced for the real-time processing of the data to predict the trend of milling force change.Combined with the internal structural characteristics of the semi-enclosed section,a test platform is built for test verification.The results show that under the same milling parameters,the Kalman filter algorithm has a significant effect on the overcutting recognition accuracy,the overcutting amount is reduced by 70%-80%,and the overall control is below 0.2 mm,which meets the machining requirements and can effectively improve the yield of the workpiece.It provides a technical reference for solving the problem of weight reduction overcutting in semi-enclosed compartment inner cavity robot grinding.
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