Page 2: 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.

Robotics

Rise of the rice robots—creating active smart materials

Rice becomes weaker when compressed quickly, while staying stronger under slow pressure—a discovery enabling scientists to design a new material that could be used to build "soft" robots that change stiffness automatically ...

Computer Sciences

3D vision technology powers factory automation

One night in 2010, Mohit Gupta decided to try something before leaving the lab. Then a Ph.D. student at Carnegie Mellon University, Gupta was in the final days of an internship at a manufacturing company in Boston. He'd spent ...

Engineering

3D printing platform rapidly produces complex electric machines

A broken motor in an automated machine can bring production on a busy factory floor to a halt. If engineers can't find a replacement part, they may have to order one from a distributor hundreds of miles away, leading to costly ...

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