Artificial Intelligence
MatGPT Enterprise Uses AI to Integrate and Leverage Internal Data Into a Dedicated, Secure Knowledge Database
Formnext 2024: Fehrmann MaterialsX’s AI solution has been specifically designed to help companies optimize workflows, increase efficiency and improve customer communication.
Angela Osborne
Managing Editor, Gardner Business Media
Spatter, Surrogate Modeling and More Advanced Manufacturing Research Happening at Carnegie Mellon University: AM Radio #53
In this trip report, we discuss research at the Manufacturing Futures Institute and Next Manufacturing Center, both under CMU’s umbrella, to advance industry with robotics, AI and additive manufacturing.
Read MoreCoreTechnologie Optimizes AI-Supported 3D Nesting Software for Higher Efficiency
The new version of the universal 3D printing software 4D_Additive 1.6 features an AI-supported nesting technology, which enables an average 30% increase in efficiency when operating SLS and MJF printers compared to the previous version and other common nesting tools.
Read MoreAibuild’s AI-Powered 3D Printing Software Offers Enhanced Capabilities for Automating Entire AM Process
The Aibuild platform delivers fully automated toolpath generation for a wide range of industrial AM technologies.
Read More1000 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 MoreVixiv 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.
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Lessons in Personalized Production From the 3D Systems Surgical Guide Process
Tailor-made manufacturing is one of AM’s richest possibilities, but the success factors inevitably draw on more than AM.
Peter Zelinski
Editor-in-Chief, Additive Manufacturing
5 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.
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NCDMM Enhances CORE Platform, Debuts Roadmapper 2.0 Data Tool
The CORE online platform helps members identify, access and utilize intellectual capital assets that align with the group’s Technology Development Roadmap, while Roadmapper 2.0 complements CORE, enabling the sharing of interactive, digital road maps.
Angela Osborne
Managing Editor, Gardner Business Media
PhysicsX, 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.
Read MoreHexagon Invests in Divergent’s Autonomous, Sustainable Manufacturing
The Divergent Adaptive Production System (DAPS) is a fully integrated software and hardware solution, creating a complete modular digital factory that combines AI-optimized generative design software, additive manufacturing and automated assembly to build lightweight automotive parts and frames.
Read MoreArtificial Intelligence and Additive Manufacturing Are Connected: AM Radio #36
Stephanie Hendrixson and Peter Zelinski discuss how AI and AM go together. There are already plenty of uses of AI in 3D printing for design, process planning and process monitoring, and the link will grow stronger as the “frictionlessness” of AI blends with that of AM.
Read MoreActivArmor Casts and Splints Are Shifting to Point-of-Care 3D Printing
ActivArmor offers individualized, 3D printed casts and splints for various diagnoses. The company is in the process of shifting to point-of-care printing and aims to promote positive healing outcomes and improved hygienics with customized support devices.
Read MoreAI-Assisted 3D Slicing Software Simplifies Dental 3D Printing Process
The software simplifies the 3D printing process so users don’t need special design training.
Read MoreDivergent Technologies Eyes High-Volume, Optimized Automotive Production Through Additive
While some automotive OEMs are using additive here and there, Divergent Technologies is basing its vehicles on 3D printed structures.
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Carnegie Mellon Helps Industry, Students Prepare for a Manufacturing Future with AM and AI
Work underway at the university’s Next Manufacturing Center and Manufacturing Futures Institute is helping industrial additive manufacturers achieve success today, while applying artificial intelligence, surrogate modeling and more to solve the problems of the future.
Stephanie Hendrixson
Executive Editor, Additive Manufacturing
EOS, Hyperganic Partnership to Elevate Space Components
Integration of Hyperganic Core, an AI-powered engineering software platform, with EOS’ digital additive manufacturing solutions aims to advance the space propulsion field.
Read MoreSenvol ML Enables New Approach for Material Allowables Development
Senvol demonstrates use of machine learning software to enable path for rapid development of material property allowables for additive manufacturing.
Read MoreIn Manufacturing, AI Is Clumsy Until It Is Invisible
Artificial intelligence is finding wide use in advancing additive manufacturing. We have seen a hint at how far this might go.
Read MoreExpanding Materials, Applications for Inkjet 3D Printing
Traditionally, the materials available for inkjet 3D printing have prevented the process from being used in production of end-use parts. But machine vision systems and AI are broadening the materials and applications for inkjet 3D printing.
Read MoreGenetic Engineering for Metal: The Promise of Microstructure Control via Additive Manufacturing
“To design the alloy, design the microstructure,” says this Ohio materials science startup. Artificial intelligence is helping to realize a design tool for determining the properties of 3D printed metals.
Read MoreAI to Aid Consistency in Electron Beam Additive Manufacturing
Machine vision and algorithms have helped EBAM users address problems as they occur in deposition, but AI could be able to predict problems before they happen.
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