Artificial intelligence (AI) is the latest craze in manufacturing and the tech industry in general. The technology is fast making its way into 3D printers as well. But what does AI have to offer to additive manufacturing? Can we expecting too soon to have completely self-sufficient AI-driven 3D printers?

Here, we explain how AI can benefit 3D printing and what the technology's current status is.

How AI Can Benefit 3D Printing

There's no one technology called "artificial intelligence." AI is more of an umbrella term that covers neural networks, automation, machine perception, and many other technologies.

That said, at the root of all these technologies is machine learning — a computer's ability to process large batches of data to reach ever-improving logical conclusions.

Here are the five main ways self-learning 3D printers can benefit their operators.

• 1. Improved Workflows: Although AI can't yet operate 3D printers independently, it can automate and streamline print preparation processes. An AI-capable 3D printer could, for example, analyse CAD files to automatically set ideal printer settings for the part.

• 2. Enhanced Design Processes: AI can be integrated into analysis and simulation software to make part design faster and easier. AI can crunch through hundreds of design iterations in a matter of hours to discover optimal geometries for maximising part strength and performance.

• 3. Better Quality Control: AI-driven machine vision systems can monitor print processes 24/7 and compare what it "sees" to the CAD model and printer parameters. If the system notices any flaws or deviations, it can automatically rectify them to prevent material waste and failed prints.

• 4. Novel Material Solutions: An AI-powered print preparation system could analyse a CAD model and the final part's desired properties to run through large material libraries and suggest the best material options. It may also help material manufacturers design new composites and alloys in a similar manner.

• 5. Generative Design: The technology isn't there quite yet, but generative 3D CAD design will likely be possible in the future. It would function similarly to ChatGPT or AI image generators — the operator describes the desired part in text and the AI produces a 3D model based on the prompt.

Current Status of AI and Additive Manufacturing

3D printing hardware and software developers have integrated it into their latest products, allowing printers to detect and correct printing errors while design programs can intelligently simulate various conditions during part design.

There are still limitations and unresolved questions with AI, though. It may be difficult to mesh AI into existing workflows or to find large enough datasets to train it. Additionally, there are legal questions about whether AI-generated 3D models, for example, can be copyrighted or trademarked.

Yet, AI is a young technology. We will undoubtedly see it advance in great strides in the near future and make an increasing impact on 3D printing.

If you'd like to learn more about AI in 3D printing, including Bambu Lab, the AI-Powered 3D Printer. Visit Solid Print3D website to learn more solidprint3d.co.uk