Artificial Intelligence for Process Analysis of Laser-Joined Cemented Carbide-Steel Joints with Low Binder Content (Bright)
The project seeks to revolutionize the welding process for hard metal (HM) and steel (ST) by developing a more efficient and reliable method.
The project at a glance
About
Traditional welding techniques for welding hard metal (HM) to steel (ST) often result in heat cracks and residual stresses, compromising the mechanical strength of the joint. Project BRIGHT seeks to revolutionize the welding process for hard metal and steel by developing a more efficient and reliable method. The project proposes using a Vertical Cavity Surface Emitting Laser (VCSEL) to create a precise temperature profile, preventing cracks and ensuring a more stable joint. Artificial Neural Networks (ANN) will be employed for online monitoring, enabling real-time predictions of joint quality and reducing the need for time-consuming offline analysis.
In short, the two main streams of project activity will be:
- Developing a laser welding process: controlling the cooling rate and creating a four-dimensional temperature profile to prevent heat cracks and residual stresses.
- Implementing online monitoring: Using sensors and ANN to predict joint quality and reduce the need for offline analysis.
By addressing these challenges, Project BRIGHT aims to provide CERATIZIT S.A. with an innovative welding technology that can improve the quality and efficiency of their tool production.
Organisation and Partners
CERATIZIT Luxembourg
Project team
