In addition to 3D printing, the Artificial Intelligence (AI) undoubtedly count as the second major technology hype of our time. At this point we would therefore like to ask the extent to which these two large-scale technologies can enter into connections with one another.
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AI – a definition
“AI as a discipline initially includes all processes that help machines to perceive, think and act like humans. Accordingly, we are dealing here with a very wide range of linguistic processes, image processing, but also processes in the field of motor technology and robotics,” explains user Dr. Thomas Wilde.
In the narrower sense, when we hear the keyword AI, we naturally think of keywords such as machine learning or neural networks. “Neural networks are a machine learning method and the core of the current hype. The process has proven that it can solve a number of problems in the field of AI in an excellent way,” says Dr. wild on.
AI in 3D printing
The role of AI in the context of 3D printing is primarily to automate the entire workflow. This ranges from digitally creating the model as a CAD file, to creating a printable file using slicer software, to the actual 3D printing on the machine, to any post-processing. Since all of these steps still have to be carried out manually, 3D printing technology is often still described as inefficient in its specific application.
A British software company, among others, has therefore developed a workflow software solution to automate important steps, especially in production management. In concrete terms, this means that AI-controlled software optimizes production capacities by improving machine utilization and planning production orders depending on machine availability. At the same time, this software can also be used to automate material selection. This is done by the AI making material recommendations based on the requirements of the part to be printed based on a large data set.
The Darmstadt Competence Center takes a very similar approach to automating the workflow. For this purpose, a Delta 3D printer was expanded to include a camera underneath its glass printing plate. After printing the first layer, this camera takes a photo and uses an AI algorithm to compare this layer with inventory data. In this way, the print quality can be determined and, if necessary, regulated during the entire subsequent 3D print.
Keep up to date with the latest developments and innovations in the world of additive manufacturing by reading our 3D printing blog.