AMIS Pro gains adaptive layer heights for binder jetting through cooperation with 19 Mayıs University

In powder-based 3D printing processes, build-preparation software often determines throughput and part quality. Especially in binder jetting—where a binder is selectively deposited into a powder bed and the part is then depowdered and usually sintered—the choice of layer thickness directly affects build time, the stair-stepping effect, and post-processing. AMIS and Dr. Hasan Bas from 19 Mayıs University therefore want to integrate a variable slice height logic into AMIS Pro.

At the heart of the collaboration is an adaptive slicing algorithm that dynamically links layer height to local geometry. Instead of using uniform layer thicknesses throughout, thicker layers are used in areas with low detail requirements, while thinner layers are applied at edges, radii, or function-critical surfaces. This addresses the stair-stepping effect that results from discrete layer formation on sloped surfaces. According to the announcement, the approach also combines adaptive layer control with an optimization of binder deposition, which is intended to improve surface quality while reducing build time. As a benchmark, AMIS cites up to 12% fewer layers without compromising dimensional accuracy.

“We are excited to collaborate with Dr. Bas, whose innovative approach aligns perfectly with our vision for smarter, faster additive workflows,” said Kris Binon, Managing Director of AMIS. “This integration will give AMIS Pro users unprecedented control and efficiency in slicing.”

Dr. Bas added: “AMIS Pro provides an excellent platform for implementing intelligent printing strategies. Integrating adaptive slicing is a meaningful step toward more efficient binder jetting.”

For users, this is particularly relevant wherever binder-jetting jobs combine large Z-heights, many parts per build, and highly varying geometries. If layer count, binder consumption, and surface requirements can be balanced more effectively, build preparation becomes a stronger lever for reproducible processes and predictable cycle times in series production.