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About this Abstract
Meeting 2027 TMS Annual Meeting & Exhibition
Symposium Algorithms Development in Materials Science and Engineering
Presentation Title An Efficient Approach to Path Planning in a High Dimensional Thermo-Spatial Material System for Optimal Gradient Materials
Author(s) Austin L. Prevette, Lucas D Robinson, Ryan Alberdi, Michael D Sangid
On-Site Speaker (Planned) Austin L. Prevette
Abstract Scope Compositionally graded designs enable new opportunities for materials engineers to efficiently use critical materials and tailor the properties across a component. Advances in computational power, calculation of phase diagrams (CALPHAD) thermodynamic solvers, and additive manufacturing have facilitated the design and manufacturing of gradient materials. An algorithm is developed to optimize a path between the compositional endpoints in the Nb-Ti-Al-V system, producing predictable property gradients over printable composition intervals. Relevant properties are extracted from equilibrium, CALPHAD simulations, Scheil solidification models, and a new composition- and temperature-dependent yield strength model. The quaternary space is partitioned into safe and deleterious regions, informed by the phase profile at equilibrium and during Scheil solidification. A continuous and differentiable surrogate is created for path planning across the BCC-HCP alloy phases. By engineering the algorithm’s objective function to optimize material property gradients in both the space and temperature axes, the compositional gradient is tailorable for performance.
Proceedings Inclusion? Planned:
Keywords Computational Materials Science & Engineering, Modeling and Simulation, Other

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