1000 Kelvin, a company specializing in AI-driven additive manufacturing solutions, introduced AMAIZE 2.0, an advanced AI-automated build preparation workflow for metal 3D printing, at Formnext 2024. Presented at Hall 11.1, D39, AMAIZE 2.0 represents a significant enhancement in the metal laser powder bed fusion (LPBF) process, aiming to improve reliability, efficiency, and scalability for manufacturers across various sectors.

AMAIZE 2.0 expands the functionalities of 1000 Kelvin’s AI co-pilot beyond simple toolpath automation. The latest version integrates a range of automation tools designed to address persistent challenges in additive manufacturing. The Printability Checker automatically validates and optimizes designs, reducing redesign cycles by 40%. The Cost Estimator provides accurate upfront cost estimations, increasing quotation accuracy by 30%. Additionally, Automated Support Structures utilize physics-based build preparation to decrease material costs by up to 20%, enabling successful print preparations without specialized expertise. Exposure Strategy Optimization fine-tunes printing parameters using AI, lowering failure rates by 50%. These features collectively enhance Overall Equipment Effectiveness (OEE) and boost yield by applying AI-driven insights throughout the printing workflow.

Resolve printability challenges at the design level with AMAIZE 2.0’s AI-driven analysis. Image via 1000 Kelvin.

Dr. Omar Fergani, PhD, Co-founder and CEO of 1000 Kelvin, commented, “Our mission is to make additive manufacturing simpler, more accurate, and more predictable. With AMAIZE 2.0, our customers can achieve consistent, first-time-right results with greater confidence and speed. We’re unlocking the true value of the 3D printing industry.”

The implementation of AMAIZE 2.0 has already yielded positive results for 1000 Kelvin’s clients in key industries. Companies such as EMERSON, HENNgineered, FKM, A*Star, and Ultimetal have reported notable improvements in both operational efficiency and the quality of their 3D printed outputs. These advancements demonstrate the practical benefits of integrating comprehensive AI-driven tools into existing metal 3D printing workflows, enabling manufacturers to meet the increasing demands for precision and scalability.