CC BY
27HiLASE-I-7
Process monitoring for metal additive manufacturing by Laser Metal Deposition
C. Prieto1, M. Diez1, S. Carracelas1, C. Gonzalez2, P. Rey1, J. Arias1 1AIMEN, Advanced Manufacturing, O Porrino, Spain 2AIMEN, Robotics & Control, O Porrino, Spain
Among Additive manufacturing, Direct Energy Deposition processes, and particularly Laser Metal Deposition (LMD) that build up parts by melting and fusing material as it is being deposited, are showing a growing interest in the industry. They have strong capabilities to build large-sized components, even over non-flat surfaces and with fast building rates comparing to other AM processes. However, work remains for LMD to reach the status of a full production-ready technology for AM applications. An overview on the state of the art of the process monitoring and control solutions and approaches that are being develop to ensure LMD-AM process qualification and good part quality is introduced.
In the context of the european project Integradde, a novel and integrated solution based on data analysis of MWIR coaxial high-speed imaging features and main parameters involved during LMD-p processes is being developed. The developed framework and software tools allow the 3D visualization and reconstruction of thermal features spatially resolved during LMD build-up. In this work, we present the correlation of experimental build information obtained from different stainless steel built parts by LMD with quality parameters measured by DT and NDT. Thus, we investigate and analyse the influence of process parameters and path planning strategies on part quality results, mechanical properties, microstructure and formation of defects.
Acknowledgements
This work is carried out under FoF-04-2018 project on the topic "Pilot lines on metal additive manufacturing" http://www.integraddeproject.eu. This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 820776.
