Amazemet, based in Warsaw, Poland, has announced the integration of an advanced artificial intelligence model to fully automate its rePOWDER ultrasonic atomisation machine. The move is intended to address the need for constant, manual supervision of metallurgical processes, often required in industrial and academic R&D.

In particular, the company noted the suitability of this upgraded machine for use in high-throughput materials testing facilities.

“In most institutions, it is far easier to buy new equipment than to hire new technical staff,” stated Dr Łukasz Żrodowski, CEO of Amazemet, Adjunct Professor at Carnegie Mellon University. “Amazemet focused its efforts on limiting the time users must commit to atomising novel alloys. Our new AI process control delivers much more autonomy, allowing researchers to focus on discovery or supervise more devices and processes at the same time.”

The AI model utilises machine vision, processing a live video feed from a welding camera to analyse melt pool characteristics in real-time. It autonomously determines and adjusts torch position, power, and material feeding every 120 milliseconds. According to Amazemet, this continuous optimisation ensures high wettability of the atomised material on the sonotrode, a key element for an efficient process, resulting in the highest possible yield in the desired Particle Size Distribution (PSD).

The AI also controls the ultrasonics, overspray removal, atomisation atmosphere and gas flow.

Author: Andy Cormack