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Triple junctions network as the key pattern for characterisation of grain structure evolution in metals

Materials & Design 2020 14 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 30 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Siying Zhu, Elijah Borodin, Andrey P. Jivkov

Summary

Researchers studied the network of microscopic junction points where three crystal grains meet inside copper alloys, proposing a new measure called "structural entropy" that tracks how these junctions evolve during intense deformation, providing a more accurate tool for understanding and engineering grain structure in metals.

Describing dynamic recrystallisation is challenging with existing material characterisation tools, which are typically based on grain boundary character distribution. This is one barrier to further developments in grain boundary engineering. We consider the network of triple junctions in copper alloys as the sub-structure that governs continuous dynamic recrystallisation and propose one descriptor of this sub-structure, referred to as the structural entropy. With the limited available characterisation data we demonstrate that the proposed descriptor correlates well with the evolution of the microstructure during severe plastic deformation. Importantly, our descriptor allows for elucidating micro-localisation features in copper alloys observed in some recent experiments.

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