MACHINE LEARNING MAKES METAL 3D PRINTING MORE EFFICIENT

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Engineers and scientists have brought Artificial Intelligence (AI) to the manufacturing industry, and are also exploring neural networks to make AI more efficient in 3D printing.

3D printing has also helped in the development of neural networks. As previously reported, scientists used 3D printing to build a neural network.

In the latest development, researchers at the SPbPU have developed neural network for metal 3D printing which will potentially make 3D printing faster and more efficient.

Now, the SPbPU team has a developed neural network that learns from previous manually entered data to make 3D printing faster, eliminating the need for mathematical modeling for different structures.
Furthermore, the neural network also makes an adjustment during the print to detect and amend flaws, a problem also addressed by Lawrence Livermore National Laboratory using neural networks.

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