Users of other 3D printing technologies can rely on the improved lap joint cut to easily assemble cut parts and generate e-Stage support in SG mode. The simulation module reduces the number of failed metal builds by showing potential build errors before they occur, without making users switch to a separate specialized application. Materialise offers multiple additional modules, which have been upgraded as part of the new release. Machine-readable tags reduce human error and further automate the post-production process, which supports mass-customization. These smart tags are smaller and can be read by conventional data matrix scanners. Materialise Magics 23 also introduces Data Matrix Label, an advanced labeling feature that converts the alphanumeric data from standard 3D printed labels into a data matrix code that can be applied to individual parts. Part quality is improved using fillets, which can be generated on a single edge. Users can easily create self-supporting honeycomb structures, preview and analyze structures and get full control over part orientation on the build platform. The latest release of the company’s data and build preparation software lets users process large data sets faster spend less time on data preparation and reduces powder consumption. In addition, Materialise announced an extension of its 3D printing services portfolio with new materials that support high quality prototypes and accelerate the adoption of additive manufacturing in the automotive, aerospace and consumer goods industries. Magics 23 improves automatic support generation and integrates simulation capabilities for metal 3D printing. With this introduction Materialise focuses on improved ease-of-use and giving users more control. The company’s software innovations will help companies scale their operations, use resources more efficiently, and reduce costs. Materialise introduced 3D printing innovations that increase productivity and efficiency in the 3D printing process with Magics 23 at Formnext.

Magics software