AMT: Agile Metal Technology

Thursday 5th January 2017
Sculpteo logo

Sculpteo has announced a new 3D printed metal service called  AMT (Agile Metal Technology) which can discover and fix problems with designs, automate procedures and offers optimisation suggestions to facilitate 3D printing metal. Sculpteo showcase the technology at CES. 

 Sculpteo has joined the UVify team that created drones using 3D printing technology through Sculpteo, an online based 3D printing service where users can assess their uploaded designs and then either print them themselves or send to Sculpteo to do the printing. 

Clement Moreau, CEO of Sculpteo, (right) explains the motivation behind the new application as “Metal 3D printing offers the possibility of building new parts with complex geometries that are not possible with traditional methods, however getting metal additive manufacturing right is a serious challenge.” Sculpteo hope that with this new software they will improve the success rate of 3D printed metal.

The new service combines 6 different aspects: Business Case, Design Optimizer, Lattice Generator, Support Optimizer, Post-Processor and Batch Controller.  Business case is a self-learning AI (artificial intelligence) that will automatically assess a CAD file to decide whether it is optimised for metal 3D printing. It calculates possible risks and considers if the design is appropriate for 3D printing.

Design Optimizer further analyses the design compatibility with metal, taking account of heat constraints, suggesting modifications and best orientation of the print. Lattice Generator looks at cost and weight reductions, Support Optimizer handles the use of supports in printing and Post-Processor evaluates required post-processing. Batch Controller is the metal 3D printing equivalent of the Sculpteo batch control tool that is already in use.

Sculpteo’s Clement Moreau explained that the benefit of this new service as a key problem solver.  As complexity of additive manufacturing grows, it is difficult to get the necessary information to ensure the projects go smoothly.  Experts and specific software exist, but are extremely expensive, and also add to length of production time.

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