Artificial Intelligence
1000 Kelvin’s AMAIZE AI Co-Pilot for Additive Manufacturing Now Available for Autodesk Fusion
The AMAIZE software is an “AI co-pilot” for engineers, predicting print issues upfront, performing corrections and generating industrial-grade, ready-to-use print files specific to a machine.
Read MoreEOS Integrates 1000 Kelvin’s AMAIZE AI Co-Pilot Into Software Suite to Accelerate Productivity and Engineering Speed for Additive Manufacturing
The AMAIZE AI “co-pilot” platform is designed to harness cutting-edge AI to streamline design processes, slash engineering costs and accelerate the introduction of new additive manufacturing products.
Read MoreVoxel Developing AI Alternative to Generative Design
Newly opened Ohio facility is where geometric cells are made and tested to inform the machine learning system that will “know,” without computation, what 3D printed form satisfies a given set of needs.
Read More5 Observations From Dr. Tim Simpson About the State of Additive Manufacturing So Far
The outgoing co-director of Penn State’s CIMP-3D takes stock of how far AM has come, aided in no small part through the work of the organization he helped to lead.
Read MoreMPI Launches AI Project to Create Material Reuse Management Tool for Metal 3D Printing
MPI is working with Additive Manufacturing Solutions and AMFG to create a versatile, commercial predictive material reuse management tool that will enable additive manufacturing to expand by introducing greater cost efficiencies.
Read MoreSiemens’ Engineering HEEDS AI Simulation Predictor Optimizes Additive Manufacturing
The HEEDS AI Simulation Predictor empowers organizations to take full advantage of the digital twin to optimize products through advanced state-of-the-art artificial intelligence with built-in accuracy awareness.
Read MoreInspection Method to Increase Confidence in Laser Powder Bed Fusion
Researchers developed a machine learning framework for identifying flaws in 3D printed products using sensor data gathered simultaneously with production, saving time and money while maintaining comparable accuracy to traditional post-inspection. The approach, developed in partnership with aerospace and defense company RTX, utilizes a machine learning algorithm trained on CT scans to identify flaws in printed products.
Read MoreSmart Layer Software Automates Visual Monitoring for Additive Manufacturing
Smart Layer software conducts a layer-by-layer analysis using computer vision algorithms and convolutional neural networks, then provides anomaly detection in real-time.
Read More3D Printed "Evolved Structures" for NASA Exoplanet Balloon Mission: The Cool Parts Show #61
Generative design creates stiff, lightweight brackets for EXCITE mission monitoring planets orbiting other stars. The Cool Parts Show visits Goddard Space Flight Center.
WatchPhysicsX, Velo3D Partner to Provide Engineers with AI Simulation Tooling
The collaboration gives Velo3D customers access to AI-enabled physics simulation and optimization capabilities, and gives PhysicsX customers increased manufacturing flexibility to produce their most advanced concepts.
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