Which alloy composition,what process parameters? Inferring the recipe from optimized metallic microstructure and texture

Key points

• That structure is in turn set by a recipe, the alloy composition together with the processing parameters.1
• Alloy development runs this chain forwards, tuning the structure until a target property is met.1
• On an in-house dataset of 107 magnesium alloy extrusion conditions across 14 alloys, each with optical micrographs and an X-ray texture measurement, we compare three descriptors of microstructure and texture: conventional grain and texture statistics, a vision embedding from a pretrained image encoder, and a graph neural network on the grain network.1
• Each is paired with prediction heads for two tasks: the alloy composition given the process (Task A), and the process parameters given the composition (Task B).1

Sources (1)

• [1]Which alloy composition,what process parameters? Inferring the recipe from optimized metallic microstructure and texture
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 6, 11:22 AM

  The mechanical properties of a metallic alloy are set by its microstructure and texture: the size and shape of its grains and the orientation of their crystals.

  That structure is in turn set by a recipe, the alloy composition together with the processing parameters.

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