A neural network framework is used to design a new Ni-based superalloy that surpasses the performance of IN718 for laser-blown-powder directed-energy-deposition repair applications. The framework utilized a large database comprising physical and thermodynamic properties for different alloy compositions to learn both composition to property and also property to property relationships. The alloy composition space was based on IN718, although, W was additionally included and the limiting Al and Co content were allowed to increase compared standard IN718, thereby allowing the alloy to approach the composition of ATI 718Plus® (718Plus). The composition with the highest probability of satisfying target properties including phase stability, solidification strain, and tensile strength was identified. The alloy was fabricated, and the properties were experimentally investigated. The testing confirms that this alloy offers advantages for additive repair applications over standard IN718.

PVD ZnCr coatings exhibit different metastable crystal structures δ, ζ, Γ depending onthe Cr content and the deposition conditions. Here we describe the different mechanicaland electrochemical properties of these phases. We show that by introducing an appropriateCr concentration profile it is possible to produce a ZnCr coating with a thin Γ-phaseinterface layer optimized for substrate adhesion and a δ-phase matrix with a strongbasal texture which possesses excellent cold forming properties. This alloy coating istailored so that the application of a short low temperature annealing step after forming,such as an automotive paint bake hardening treatment, transforms the textured δ-phaseinto a nanocrystalline ı-phase with no marked texture. The latter microstructure providessignificantly improved primary corrosion protection.

This work reviews recent research on the design and control of interfaces in engineering nanomaterials. Four case studies are presented that demonstrate the power of a multimodal approach to the characterization of different types of interfaces. We have used a combination of conventional, high resolution, and analytical transmission electron microscopy, microbeam electron diffraction, and three-dimensional atom probe to study polymer–clay nanocomposites, turbine rotor steels used for power generation, multicomponent aluminum alloys, and nanocrystalline magnetic materials.