Page 18: Research news on Computational additive manufacturing

Computational additive manufacturing integrates digital design, simulation, and control with 3D and 4D printing processes to create structures with precisely programmed geometry, composition, and function. Methods span multimaterial extrusion, vat photopolymerization, volumetric and holographic printing, and bio- and food-printing, often coupled to AI-driven design tools, topology optimization, and process monitoring. A major emphasis is on architected and origami- or textile-inspired mechanical metamaterials, soft robots, and functional devices whose mechanical, optical, electromagnetic, or morphing behavior is encoded at the meso- and microstructural level.

Hi Tech & Innovation

3D printing metal molds poised to accelerate US auto manufacturing

Recent advancements at the Department of Energy's Oak Ridge National Laboratory show that 3D-printed metal molds offer a faster, more cost-effective and flexible approach to producing large composite components for mass-produced ...

Engineering

Machine learning simplifies industrial laser processes for metals

Laser-based processes for metals are considered to be particularly versatile in industry. Lasers can be used, for example, to precision-weld components together or produce more complex parts using 3D printing—quickly, precisely ...

Engineering

3D printers leave hidden 'fingerprints' that reveal part origins

A new artificial intelligence system pinpoints the origin of 3D printed parts down to the specific machine that made them. The technology could allow manufacturers to monitor their suppliers and manage their supply chains, ...

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