Automatic build preparation

Determining the build parameters is currently a process that often involves a few iterations (trial and error). The number of iterations can be greatly reduced. This reduces cost as well as waste.

Input(s):

• 3D Models (STL, STEP, Native CAD)
• Production data or database plugin

Main feature(s):

• Train AI model on a set of data to propose build preparatory steps

Output(s):

• Build parameters: orientation and toolpath optimisation

The resulting proposition will be integrated into the current Build Processor suite of Materialise (BP).

• AM users and service bureaus
• Existing (software) customers

• Different business models can be applied: license, pay-per-use …
• OEM contract