Monday, January 27, 2025

Machine learning and 3D printing yield steel-strong, foam-light materials

Good news! Steel with the weight of a feather!

"Researchers at the University of Toronto's Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon steel but the lightness of Styrofoam. ..."

From the abstract:
"Nanoarchitected materials are at the frontier of metamaterial design and have set the benchmark for mechanical performance in several contemporary applications.
However, traditional nanoarchitected designs with conventional topologies exhibit poor stress distributions and induce premature nodal failure.
Here, using multi-objective Bayesian optimization and two-photon polymerization, optimized carbon nanolattices with an exceptional specific strength of 2.03 MPa m3 kg−1 at low densities <215 kg m−3 are created. Generative design optimization provides experimental improvements in strength and Young's modulus by as much as 118% and 68%, respectively, at equivalent densities with entirely different lattice failure responses.
Additionally, the reduction of nanolattice strut diameters to 300 nm produces a unique high-strength carbon with a pyrolysis-induced atomic gradient of 94% sp2 aromatic carbon and low oxygen impurities.
Using multi-focus multi-photon polymerization, a millimeter-scalable metamaterial consisting of 18.75 million lattice cells with nanometer dimensions is demonstrated. Combining Bayesian optimized designs and nanoarchitected pyrolyzed carbon, the optimal nanostructures exhibit the strength of carbon steel at the density of Styrofoam offering unparalleled capabilities in light-weighting, fuel reduction, and contemporary design applications."

Machine learning and 3D printing yield steel-strong, foam-light materials



Fig. 1 Multi-objective Bayesian optimization for generative design of carbon nanolattices with high compressive stiffness and strength at low density.


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