Abstract

In the process of electron-beam freeform fabrication deposition, the surface of the deposit layer becomes rough because of the instability of the feeding wire and the changing of the thermal diffusion condition. This will make the droplet transfer distance change in the deposition process, and the droplet transfer cannot always be stable in the liquid bridge transfer state. It is easy to form a large droplet or make wire and substrate stick together, which makes the deposition quality worsen or even interrupts the deposition process. The current electron-beam freeform fabrication deposition is mostly open-loop control, so it is urgent to realize the real-time and closed-loop control of the droplet transfer and to make it stable in the liquid bridge transfer state. In this paper, a real-time monitoring method based on machine vision is proposed for the droplet transfer of electron-beam freeform fabrication. The detection accuracy is up to ± 0.08 mm. Based on this method, the measured droplet transfer distance is fed back to the platform control system in real time. This closed-loop control system can stabilize the droplet transfer distance within ± 0.14 mm. In order to improve the detection stability of the whole system, a droplet transfer detection algorithm suitable for this scenario has been written, which improves the adaptability of the droplet transfer distance detection method by means of dilatation/erosion, local minimum value suppression, and image segmentation. This algorithm can resist multiple disturbances, such as spatter, large droplet occlusion and so on.

Highlights

  • In recent years, the technology of metal additive manufacturing has been developed rapidly, attracting the attention of many researchers

  • The camera used to capture the droplet transfer image sends the image to the industrial control computer through the network cable

  • The system consists of an 15 kW electron gun for generating an electron beam

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Summary

Introduction

The technology of metal additive manufacturing has been developed rapidly, attracting the attention of many researchers. Electron-Beam Freeform Fabrication (EBF3) is one of the metal additive manufacturing technologies. The camera used to capture the droplet transfer image sends the image to the industrial control computer through the network cable. The industrial control computer obtains the droplet transfer distance 4h by image processing. In order to realize the closed-loop control of droplet transfer distance, the droplet transfer deviation e is sent to the numeric platform by the OPC-UA communication module of the Siemens 840Dsl CNC system. The 840Dsl CNC system compensates the droplet transfer distance in real time by adjusting the platform height according to e. An Image Source industrial camera is adopted to acquire the droplet transfer image. The CMOS sensor chip size is 1 inch, with a resolution of

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