基于机器视觉的FDM-3D快速成型异常工况监控系统

Abnormal Working Condition Monitoring System in FDM-3D Rapid Prototyping Based on Machine Vision

针对FDM-3D打印过程中存在的各类打印故障,提出了一种基于机器视觉的FDM-3D快速成型异常工况监控系统,该系统能够完成自动识别和报警等功能,实现无人值守状态下的智能监控。首先,基于视觉提取实际打印目标的轮廓;然后,基于计算机图形学获取stl文件中待打印物体的理论轮廓,并将其与实际打印目标的轮廓做对比;最后,开发一个基于网络的自动报警系统。实验结果表明,该监控系统能够对零件垮塌或打印机喷头堵塞等状况实现实时在线的评价。基于图像识别的监控方法能够与3D打印目标的造型实时匹配,该方法可以扩展到多种不同类型的打印机。

Aiming at various anomalies in the FDM-3D printing process,an abnormal working condition monitoring system in FDM-3D rapid prototyping based on machine vision is proposed,which can complete functions such as automatic identification and alarm,and realize the goal of unattended intelligent monitoring.First,the contour of the actual print target is extracted based on vision.Then,the contour of the object to be printed in the stl file is obtained based on computer graphics and compared with that of the actual print target.Finally,a networkbased automatic alarm system is developed.The experimental results show that the monitoring system can realize realtime online evaluation of the working conditions such as the collapse of parts or nozzle clogging in printers.Therefore,the monitoring method based on image recognition can match the shape of the 3D printing target in real time,and such a method can be extended to a plurality of different types of printers.