When slicing software automates engineering expertise: Roboze restructures industrial 3D printing

In industrial 3D printing, component quality is no longer determined solely by the mechanics of a machine. Slicing software has gained growing influence, as it must translate process knowledge into reproducible parameters. The Italian manufacturer Roboze consistently pursues this approach with its SlizeR software, integrating insights from materials research and process development directly into digital preparation.

The focus is on processing high-performance polymers such as PEEK, Carbon PA, or ULTEM-based filaments, whose thermal behavior defines narrow process windows. According to Roboze engineers, every function of the software is based on internal test series and is continuously refined using real production data. The goal is to partially automate critical decisions such as infill density, cooling times, or support structures without depriving the user of control.

A central element is an adaptive infill logic that locally varies between a defined base density and fully solid regions. The software identifies geometrically or mechanically sensitive zones and selectively increases the material content in those areas. This improves stability and part strength while avoiding unnecessary print time. In internal tests, Roboze reports significant time savings for complex geometries, without making any specific hardware modifications.

Additional functions address thermal effects. For very small cross-sections, SlizeR automatically calculates additional cooling movements to prevent overheating of individual layers. The generation of so-called pyramid-shaped support structures also follows an algorithmic approach that minimizes contact with the part surface and simplifies post-processing. In addition, the software simulates toolpaths in advance to detect collisions and unstable wall areas at an early stage.

Overall, with SlizeR, Roboze shifts part of traditional process expertise into software. For users in series production, this means fewer iterations, more stable processes, and more predictable results—especially when working with demanding materials.