Designing metal alloys: Design & Engineering

By David L. Chandler, MIT

Advanced metal alloys are essential to modern life. But creating them for specific uses, with optimized strength, hardness, corrosion resistance, conductivity and so on, has been limited by fuzzy understanding of what happens at the boundaries between the tiny crystalline grains that make up most metals.

When two metals are mixed, the atoms of the secondary metal might collect along these grain boundaries or spread out through the lattice of atoms in the grains. The overall properties of the material are determined largely by the behavior of these atoms, but until now there has been no systematic way to predict what they would do.

Using a combination of computer simulations and a machine-learning process, researchers at Massachusetts Institute of Technology have found a method to produce the kinds of detailed predictions of these properties that could guide the development of alloys for a wide variety of applications.

Researchers have found a way to predict the properties of metal alloys based on reactions at the boundaries between the crystalline grains of the primary metal. In this image, colored dots indicate the likelihood that atoms will collect along these boundaries rather than penetrating them. Image courtesy of MIT researchers

Christopher Schuh, professor of materials science and engineering, said understanding the atomic-level behavior of polycrystalline metals, which account for the vast majority of metals used, is a daunting challenge. Whereas the atoms in a single crystal are arranged in an orderly pattern so the relationship between adjacent atoms is simple and predictable, that’s not the case with the multiple tiny crystals in most metal objects.

“You have crystals smashed together at what we call grain boundaries,” he said. “And in a conventional structural material, there are millions and millions of such boundaries.”