Just a year ago, German startup 1000 Kelvin introduced AMAIZE, its groundbreaking AI co-pilot for metal laser powder bed fusion (LPBF) 3D printing. At a time when many companies were adding “AI” to their branding, AMAIZE stood out as a genuine application of artificial intelligence in additive manufacturing (AM). Using high-powered computing and physics-informed machine learning, AMAIZE optimized one of the untouched areas of the 3D printing industry, toolpaths for LPBF machines, and effectively cut out the costly trial-and-error cycle. In some cases, the software was even able to eliminate the need for support structures. After years of industry efforts to achieve “first-time-right” prints, 1000 Kelvin seemed to have found the solution.
Now, at Formnext 2024, 1000 Kelvin is demonstrating the next logical evolution in the usage of advanced physics-based AI. AMAIZE 2.0 builds on the success of the original by expanding its capabilities across the entire metal 3D printing workflow. Beyond toolpath and exposure strategy optimization, …