OVERVIEW

Toolless Manufacturing of Complex Structures

Lithography based Additive Manufacturing technologies (L-AMT) are capable of fabricating parts with excellent surface quality, good feature resolution and high precision. ToMax is a European project (Horizon 2020, Factories of the Future) which aims at developing integrated lithography-based Additive Manufacturing systems for the fabrication of ceramic parts with high shape complexity.

 

Aim of the project

The focus of the project is to unite industrial know-how in the field of software development, photopolymers and ceramics, high performance light-sources, system integration, life cycle analysis, industrial exploitation and rewarding end-user cases. The consortium will provide 3D-printers with high throughput and outstanding materials and energy efficiency.

Targeted end-use applications include ceramics for aerospace engineering, medical devices and energy efficient lighting applications. The consortium is aiming to exploit disruptive applications of L-AMT by developing process chains beyond the current state of the art.

Overall, the consortium will provide innovative, resource efficient manufacturing processes. ToMax will develop energy-efficient machinery and processes, with a focus on manufacturing of alumina, silicon nitride and cermet parts with high shape complexity.

By relying on L-AMT, the following objectives are targeted byToMax:

 

  • ToMax will provide methods which are 75% more material efficient with respect to traditional manufacturing.
  • Are 25% more material efficient with respect to current AMT approaches by using computational modelling to optimize geometries and by providing recyclable wash-away supports.
  • ToMax will provide methods which are 35% more energy efficient than current AMT approaches by developing 50% faster thermal processing procedures.
  • Incorporate recycling for the first time in L-AMT of engineering ceramics.

CONSORTIUM

Cycleco
Deskartes
Invision
Lithoz
Osram
R2M Solution
Rauschert
Syalons
TU Wien
Universidad Politecnica Madrid

FUNDED BY

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 633192.