3D CERAM releases CERIA Set AI for optimising ceramic Additive Manufacturing

3DCeram, based in Sinto, Bonnac-La-Côte, France, has introduced CERIA Set, its Artificial Intelligence software designed to enhance users’ manufacturing processes. CERIA Set offers three main features: assistance with part conception and precise placement within the tank, thorough analysis of the final tank configuration for optimal results and tailored and optimised scraping parameters to ensure flawless builds.
CERIA Set is a 3DCeram exclusive developed in-house by 3DCeram’s teams and artificial intelligence experts. It is intended to complement its two other software products: Build-It and CPS 2.0.
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Reduced waste and simplified manufacturing experience
CERIA Set is intended to eliminate complexity and reduce the error rate in builds by anticipating part design faults in its geometric structure. It also enables users to comply with the design rules inherent in Additive Manufacturing. CERIA Set also assists users in the design of manufacturing tanks, highlighting the spaces to be occupied, the layout of parts, etc. CERIA Set’s functions and user-friendly interface are intended to make the manufacturing process smooth and efficient.
CERIA BB Set analyses build files to identify potential problems (empty spaces, sizing errors, etc.) that could hinder the manufacturing cycle. In this way, users can save both material and time while increasing the success rate.
CERIA’s functionality
After downloading the build files, CERIA Set performs an analysis that highlights areas for improvement. With simple messages and recommendations, CERIA Set guides users to optimised manufacturing results.
CERIA Set also detects empty spaces, enabling the efficient use of materials and minimising waste.
Users can check the progress of their part layer-by-layer, thanks CERIA Set’s intuitive colour-coding system. Visual cues are intended to simplify the building process, from design to completion. White represents the part, yellow the fixed slurry zones and red potential slurry leaks.























