Project Kick-Off

AdHoPe: Intelligent Process Control for the Laser Powder Bed Fusion Proces

As the world of Additive Manufacturing continues to evolve, so too do the demands for precision and efficiency. For users, fine-tuning process parameters is critical to ensuring high-quality, defect-free components. Different geometries – whether thin-walled structures or complex overhangs – require customised settings to prevent overheating and ensure high part quality.

To address these challenges, the recently launched “AdHoPe” project at DAP aims to optimise the laser powder bed fusion (PBF-LB/M) process by integrating advanced simulation and real-time sensor data. The project plans to introduce an intelligent process control system that optimises parameters in real time, prevents overheating and ensures consistent part quality.

AdHoPe aims not only to improve existing methods, but also to set new standards. By developing a vector-based simulation model, temperature values during powder coating can be quickly calculated. This real-time insight allows adjustments to be made to subsequent coats, reducing the risk of defects and improving the overall robustness of the process.

But that’s not all. The project also focuses on optimising the laser’s vector design to maintain a uniform thermal environment and reduce the risk of overheating.

AdHoPe is funded by the Central Innovation Programme for SMEs of the Federal Ministry for Economic Affairs.

Consortium:

Aconity GmbH
ModuleWorks GmbH
Chair Digital Additive Production DAP

 

Dominick Holmann, M. Sc.

Dominick Holman, M. Sc.

RWTH Aachen Chair
Digital Additive Production DAP
Campus-Boulevard 73
52074 Aachen

→ dominick.holman@dap.rwth-aachen.de

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