Equipment Design And Online Monitoring Technology Of Multi-component Extrusion-based Additive Manufacturing

The additive manufacturing process is based on the principles of dispersion and accumulation,and the solid objects are stacked layer by layer to form solid objects.Compared with the traditional manufacturing process,the design flexibility of this process has been greatly improved.Due to the characteristics of its processing method,it can produce complex,special and personalized products.So,it is widely used in shipping,biomedical,aerospace and other industries.However,with the development of technology,single-material printing can no longer meet the complex and personalized requirements.It is necessary to develop multi-material additive manufacturing technology.Therefore,this paper studies the multi-component extrusion-based additive manufacturing process,and the main research results are as follows:This study proposes a solution for robot-assisted additive manufacturing.The processing system is built on the robot as a processing robot,using the robot’s high stability,high precision,and high flexibility to make the robot move under the control of the signal.At the same time,the laser,temperature sensor,positioner,heating rod and other accessories built on the robot are controlled by PLC to synchronize the robot motion mechanism and the additive manufacturing forming mechanism.With this method,the machining system can perform high-precision work in the work area.A new multi-nozzle system was designed to solve the problems of easy clogging and drooling of the nozzles.The nozzle of this system only serves as a wire feeding mechanism,sends the wire material to the specified position,and then heats and melts the wire material reaching the specified position by the laser.Each nozzle corresponds to a kind of wire,and the forming process is controlled by PLA.In this way,the system can realize multi-material additive manufacturing.In order to solve the problem of defects in the forming area due to mechanical errors and other reasons during the forming process,this study proposed a scheme for online monitoring using dual industrial cameras as an online measurement system.At the same time,in order to solve the problem caused by the serious loss of edge information when using Gaussian filtering,this study proposes a contour extraction method based on principal component analysis.Using this method,the contour of the forming area with high accuracy can be quickly obtained,and then the theoretical value of the feature point on the contour is compared with the actual value.According to whether the deviation is within the allowable range of the error,the measurement system will decide whether to feed back to the processing robot for the robot to perform secondary processing.