Chemnitz researchers just showed a low cost, vision and AI approach that models and controls Fused Filament Fabrication (FFF) extrusion to improve accuracy without endless slicer tweaks.
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Predictive Low Power DED Nails 316L Repeatability
Researchers have shown a data-driven, low-power Directed Energy Deposition (DED) approach for 316L stainless steel that delivers sub‑5% porosity, forged‑level microhardness, and a clear path to repeatability.
PiGRAND Brings Physics Informed Graph Diffusion To AM
A new research model called PiGRAND merges physics guidance with graph neural diffusion to predict and control AM processes.
New Guidelines Expand Shotcrete 3D Printing Geometry
A new study codifies process rules that make shotcrete 3D printing more reliable and more ambitious.
CMU Researchers Use AI to Autonomously Manage 3D Printing Workflows on FFF Systems
Researchers have found a way to use AI to autonomously control 3D print workflows.
Markforged Unveils Performance Advisor Automatically Strengthening 3D Printed Parts
Markforged announced a new software tool that automatically makes parts stronger.
DLR’s ‘3D-LoCoS’ Project: Innovating Low Cost Space Components through 3D Printing
The German Institute of Materials Research at DLR has been working on ways to 3D print space propulsion systems.
Pellet Power: How Juggerbot’s Material Card is Changing the 3D Printing Game
Juggerbot has been developing something they call a “material card”.
SLM Solutions Partners with DTI to Enhance Metal 3D Printing Technology
The battle for metal 3D printing supremacy continues, with an interesting move from SLM Solutions this week.
Siemens Energy and Senvol Make Metal 3D Printing Data Available to Industry
Senvol and Siemens Energy announced an arrangement to unleash considerable know-how on metal 3D printing.
The Ongoing Puzzle of 3D Printer Settings
3D print parameters are a bit of a mess these days.
PrintSyst And DNA.AM Launch AI-Powered MES
PrintSyst announced they’ve successfully integrated their AI engine into DNA.AM’s manufacturing execution system.
Dialing In 3D Printing Parameters With Machine Learning
The process of “dialing in” optimal 3D print parameters can be challenging, but how is this best done in a rapidly evolving industrial environment?
Prusa Research’s Amazing New Materials Table
Prusa Research has released an extremely interesting and highly useful materials table.
MakerBot And Polymaker Demonstrate The Importance Of 3D Print Materials Partnerships
An announcement from Polymaker and MakerBot underlines the increasing importance of partnerships for 3D print materials.
A Predictive Way To 3D Print Martensitic Steel
Researchers have found a way to predict the effectiveness of 3D printing martensitic steel.
Automating 3D Print Parameters For Optimal Results
Researchers are developing machine learning systems that could potentially automate the complex 3D print parameters used in 3D printing jobs.
Inside Senvol’s Machine Learning Additive Manufacturing Software
Senvol’s data-driven additive manufacturing analysis system is now less mysterious to us.
Is Ultimaker’s Print Profile System Taking Over?
Ultimaker’s powerful Material Alliance Program is growing rapidly, but what does this mean?
Opening Eyes To Grander 3D Printing
I’ve been watching some 3D print videos from Fabbaloo friend Joel Telling, and realized something about how 3D print practices are changing.