Prediction of Machining Parameters by Vibration Signal

Abstract

The automatic judgment of the object’s angle enhances the work efficiency of mechanical loading and unloading, which is necessary for the workflow of non-fixed placement. Therefore, we develop a method for judging object angles imported into various scenarios. First of all, we establish the model of each tool. Before the identification process, the proposed system improves the accuracy by adjusting the brightness and contrast. Then, the position and angle of the object are judged to transmit the result to the robotic arm for gripping. In addition, we find the best gripping point according to the boundary shape of the object to enhance the stability of the moving process so that the workpiece does not fall during the process. From experimental results, after the images are captured through the camera, we attempt to determine the object’s coordinates, angles, and clamping positions to improve the efficiency of the handling process. This design is implemented in various loading and unloading processes.