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New publication details a novel method for accelerated mechanical properties prediction! We developed a method that integrates additively manufactured functionally graded materials, automated high resolution measurements, and leverage fundamental relationships between local plasticity and macroscopic properties to rapidly predict the fatigue strength of metallic materials. Recent improvements in additive manufacturing and high-throughput material synthesis have …

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The group published a new study in materials informatics, introducing a machine learning encoding approach for automatically identifying metal microstructures. This advancement paves the way for autonomous metal characterization. Article: https://arxiv.org/abs/2501.18064 Abstract: To leverage advancements in machine learning for metallic materials design and property prediction, it is crucial to develop a data-reduced representation of metal …

Learning Metal Microstructure through AI Read More »

Explore our group’s latest publication in Acta Materialia, led by Dhruv Anjaria. Our research focuses on the plasticity of a FCC material at cryogenic temperatures (liquid nitrogen and helium temperatures). We discovered a novel deformation mechanism where deformation twinning and slip compete, causing the delocalization of plastic deformation, which impacts the properties of metallic materials …

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Check out our latest publication in Acta Materialia: https://lnkd.in/gNftY7e6 Utilizing high-temperature, high-resolution digital image correlation, we’ve been able to observe the temperature-dependence of plastic localization at the nanoscale across a wide field of view. This approach has led to a deeper understanding of the microstructure-dependence of diffusion creep (Coble creep) phenomena during the deformation of …

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Our research team has made a breakthrough in understanding the micro-mechanisms that contribute to fatigue damage under tension-tension loading. These findings are detailed in our recent publication in the journal Acta Materialia. The paper, authored by R.L. Black, D. Anjaria, J. Genée, V. Valle, and J. C. Stinville, is titled “Micro-Strain and Cyclic Slip Accumulation …

Cyclic Slip Accumulation in Structural Metals Read More »

The Stinville group, in partnership with researchers from UCSB, Mines ParisTech, UIUC, and BAM, has recently published an article in the prestigious ARMR journal. The paper presents groundbreaking research endeavors focused on comprehending the localization of plasticity in metals. Insights into Plastic Localization by Crystallographic Slip from Emerging Experimental and Numerical Approaches Annual Review of …

Annual Review of Materials Research Read More »

Ph.D. Candidate Chris Bean investigated plastic localization in AM microstructure: International Journal of Plasticity Volume 159, December 2022, 103436 Additively manufactured 316L stainless steels display significantly higher yield strength than their as-cast or wrought counterparts. This is associated with the micro-scale cellular structure and complex grain and sub-grain structure, resulting from high cooling rates occurring …

Plasticity in Additively Manufactured SS 316L Read More »

Engineers can now capture and predict the strength of metallic materials subjected to cycling loading, or fatigue strength, in a matter of hours – not the months or years it takes using current methods. In a new study, researchers from the University of Illinois Urbana-Champaign report that automated high-resolution electron imaging can capture the nanoscale …

Science Article: Deformation fingerprints Read More »