Metal Additive Manufacturing Online Mobile Monitoring Mechanism and Online Appearance Inspection Equipment
A metal additive and mobile monitoring technology, applied in the field of additive manufacturing, can solve the problems of shooting range exceeding the target range, unfavorable monitoring by a traceable mobile online monitoring mechanism, and shooting accuracy not meeting the requirements, achieving convenient shooting and high stability. the effect of meeting the requirements of image accuracy
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Embodiment 1
[0033] like Figure 9 As shown, the embodiment of the present invention provides an online mobile monitoring mechanism for metal additive manufacturing, including a mobile platform 4 and a CCD camera 5. The mobile platform 4 is used to drive the CCD camera 5 to move, and the CCD camera 5 is used to collect online laser selective melting manufacturing. Process part surface image. Institutions also include Figure 1-6 The shown clamp assembly for clamping the CCD camera 5 and fixing it on the mobile platform 4 includes a shovel clamp 1 , a sleeve clamp 2 and a grapple clamp 3 . The shovel-shaped clamp 1 is mainly aimed at the light weight of the CCD camera 5, and is used for clamping the CCD camera 5 whose weight is within the range of 1.5kg-4.0kg. The sleeve-type fixture 2 is mainly aimed at the moderate weight of the CCD camera 5, and is used to clamp the CCD camera 5 with a weight in the range of 4.0kg to 9.0kg. The sleeve-type fixture 2 is screwed and fixed. The section i...
Embodiment 2
[0041] like Figure 10 As shown, the embodiment of the present invention also provides an online appearance inspection device for metal additive manufacturing, which includes the online mobile monitoring mechanism for metal additive manufacturing in the above-mentioned embodiment 1, and also includes an image processing system and a working system. The image processing system uses Based on the molten pool and sputtering images collected by the CCD camera of the online mobile monitoring mechanism, the defect area is accurately positioned and identified, and the results are fed back to the working system, which is used to adjust the 3D printing process according to the information fed back by the image processing system. Process parameters to produce high-quality defect-free parts.
[0042] Specifically, the image processing system includes an image preprocessing module, a generative adversarial neural network (Generative Adversarial Network, GAN) module, and an LBP (Local Binar...
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