New division brings production-ready additive manufacturing capacity online in 2026 TORRANCE, Calif., Jan. 22, 2026 /PRNewswire/ -- Hadrian, the advanced manufacturing company building AI-powered ...

MMB Volum-e, a European additive manufacturing service provider focused on space and regulated industries, has signed a three-year contract with amsight to implement its data-driven quality management ...

Stereolithography remains at the forefront of additive manufacturing, enabling the creation of intricate three-dimensional objects through the selective photopolymerisation of liquid resin. By ...

Next-generation technology requires next-generation materials that can be tailored to exact mission requirements. Additive ...

Researchers have resolved a long-standing debate surrounding laser additive manufacturing processes with a pioneering approach to defect detection. Researchers from EPFL have resolved a long-standing ...

In the late 1980s, Binder Jetting (BJ), or powder-liquid three-dimensional printing (3DP), was developed by the Massachusetts Institute of Technology. Licensing this technology to several sectors ...

The Siemens SimRod is an electric vehicle that leverages the latest additive manufacturing and other advanced production technologies. At the Hannover Fair, a model of the production line was used to ...

Aerospace, automotive, consumer products, medical devices, national defense and other sectors that use additive manufacturing and 3D printing technologies could benefit from quality-control software ...

"Additive Manufacturing as a Secondary Process" provides a comprehensive overview of the way in which manufacturers can use additive manufacturing (AM) as a secondary, or indirect, process such as ...

Siemens announced a new Additive Manufacturing (AM) Process Simulation solution for predicting distortion during 3D printing. The product is fully integrated into Siemens’ end-to-end Additive ...

Metal additive manufacturing (AM) experiments are slow and expensive. Engineers are using physics-informed neural networks to predict the outcomes of complex processes involved in AM. The team trained ...