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Speaker: Sheila Whitman
Title: Optimizing Recycled Aluminum
Abstract: One of the major challenges of aluminum recycling is the cross-alloy contamination of varied aluminum series scrap. While advanced sorting techniques can result in close to specification elemental compositions, the addition of primary elements is still necessary to dilute the scrap to within spec. To alleviate the need for elemental dilution, identifying and broadening the range of available aluminum alloys that match the specification performance requirements is a main goal. However, exploring the entire compositional space of between specs is experimentally infeasible. Computational methods for compositional exploration can help identify possible compositions close to spec that result in the same performance. The ultimate goal is to eventually be able to identify potential alternative compositional, processing pairings with the same properties as the standardized series to decrease the need for large additional amounts of primary elements to be added; therefore, developing a more sustainable aluminum alloy. As a first step, I will provide an overview of my recent work, exploring the capabilities of compositional-based conditioning for a diffusion model to produce realistic, mesoscale aluminum microstructures.