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Wednesday, November 12, 2025

Researchers Develop 3D Printed Metamaterial That Adapts to Totally different Impression Severities


Researchers from universities in Scotland and Italy have developed a brand new 3D-printed metamaterial that may modify its protecting properties based mostly on influence kind and severity. The fabric includes a gyroid lattice construction that twists when compressed, providing potential functions in automotive and aerospace crash safety.

The metamaterial differs from standard safety supplies like foams or crumple zones, which offer mounted resistance ranges. As a substitute, the brand new materials’s response will be mechanically managed by adjusting how a lot it’s allowed to twist throughout compression. This permits it to supply both inflexible safety for extreme impacts or softer cushioning for lighter collisions.

Researchers Develop 3D Printed Metamaterial That Adapts to Different Impact SeveritiesResearchers Develop 3D Printed Metamaterial That Adapts to Totally different Impression Severities
Credit score: College of Glasgow

Laboratory exams confirmed the fabric’s adaptability throughout three configurations. When prevented from twisting, it absorbed most power at 15.36 joules per gram. Free twisting diminished power absorption by roughly 10 %, whereas compelled over-twisting decreased it by 33 %. The fabric is manufactured from metal utilizing additive manufacturing processes.

Professor Shanmugam Kumar of the College of Glasgow’s James Watt College of Engineering, who led the analysis, defined the fabric’s benefits. “The protecting supplies utilized in most autos immediately are static, designed for particular influence situations and unable to adapt to various circumstances,” Kumar stated. He famous that the fabric requires no advanced electronics or hydraulics to adapt, as an alternative counting on mechanical rotation management.

The analysis, printed in Superior Supplies, concerned collaboration with Italy’s Polytechnic College of Marche, College of L’Aquila, and Nationwide Institute for Nuclear Physics. The group used computational fashions and micro-CT reconstructions to account for manufacturing imperfections and predict the fabric’s conduct underneath totally different circumstances.

Supply: gla.ac.uk

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