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Industry Summary Articles

Wednesday, September 22, 2021

Materialise Introduces Dental Module for Magics — Automating 3D Printing Preparation in Dental Labs 

Materialise, a global leader of 3D printing solutions, has introduced its new Dental Module for Magics. This addition to the industry-leading Magics software is designed to enable dental labs to fully optimize and automate their 3D printing preparation workflow for dental applications.

With dentistry becoming more digitalized, Dental Module provides dental labs with the easy-to-use tools required to ensure a scalable 3D printing process. 

“3D printing has become well established within dentistry,” says Volker Schillen, Market Innovation Manager at Materialise. “Today, many dental labs have their own printers and create custom parts for dental restoration daily. Their next goal is optimizing the workflow so dental specialists can reduce the amount of time spent manually preparing designs to be printed. With automated tools, specialists can instead use this time on other valuable responsibilities, such as meeting with patients.” 

After uploading dental CAD designs to the platform, the user simply clicks a button, and the software automates all the required printing preparation steps, such as labeling, nesting, and generating support structures. Tasks that could take hours to complete manually are finalized within a couple of minutes. The module also provides advanced control over processing steps through customizable processing profiles. Users can take advantage of Magics’ versatile capabilities to further refine automatically generated results or process applications not supported by the Dental Module in a tailored manner, if necessary.

As a leader in 3D printing software solutions, Materialise helps customers within a wide range of industries optimize their additive manufacturing activities. After this newest addition, there are now ten modules available for Magics users. Dental Module joins a line-up of solutions that offer automated printing preparation tasks such as support generation and 3D nesting.

To view the original press release, please click here.

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