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Observation of Metal Healing Itself Confirms Researcher’s Prediction

Predicted self-healing in small pieces of platinum was observed, shocking scientists around the world

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A microscopic crack grew in a very small piece of platinum when placed under repetitive stretching. The experiment, designed to study fatigue crack growth, continued as predicted for a while before something unexpected happened. The crack stopped growing and instead began to get shorter, effectively “healing” itself.

A group of researchers at Sandia National Laboratories made this surprising observation while conducting fracture experiments on nanocrystalline metals. The findings were recently published in the journal Nature.

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It would be reasonable to think, prior to this discovery, that self-healing metal was something that could only be found in science fiction. Dr. Michael Demkowicz, a professor in Texas A&M University’s materials science and engineering department and co-author of the recent study, held no such assumptions.

Past informs the present

Ten years ago, while an assistant professor at Massachusetts Institute of Technology’s materials science and engineering department, Demkowicz and his student predicted self-healing in metals.

“We didn’t set out to find healing. My student, Guoxiang Xu, was doing simulations on fracture,” Demkowicz said. “We accidentally observed spontaneous healing in one of his simulations and decided to follow up.”

Then, just like now, the results in 2013 were surprising. Demkowicz added that he, his student and his colleagues were all somewhat skeptical of the original theory. However, his simulation models would see many reproductions and expansions by other researchers in the intervening years.

“It became clear that the simulations were not in error since others saw the same effect in their modeling work,” Demkowicz said. “However, experiments were out of reach until now.”

Both the 2013 models and the recent experiment used nanocrystalline metals that have a crystal structure, or grain size, measured on the nanoscale (one-millionth of a millimeter). While not widely used in engineering applications, most metals can be made in this form, according to Demkowicz.

He further explained that nanocrystalline metals make studying self-healing easier because their small grain size allows for more microstructural features that even small cracks can interact with.

Both studies found that one such feature, grain boundaries, can affect crack healing depending on the direction of boundary migration relative to the crack. Demkowicz added that these features are common in many metals and alloys and can be manipulated.

What futures may come

“The main impact of the current work is to move the original theoretical prediction ‘off the drawing board’ and show that it occurs in reality,” Demkowicz said. “We haven’t really started optimizing microstructures for self-healing yet. Figuring out the best alterations to promote self-healing is a challenging task for future work.”

Potential applications of this work could vary widely. Demkowicz suggests that self-healing could be possible in conventional metals with larger grain sizes, but future investigations will be needed.

One condition common to both the 2013 theory and the recent experiment is that both were conducted in vacuum environments, devoid of foreign matter. Such outside matter could interfere with crack surfaces’ ability to bond, or cold-weld, back together. Even with this limitation, applications could still be possible for spacefaring technology or internal cracks that are not exposed to outside air.

A decade in the making, Demkowicz’s theory has paid dividends in Sandia National Laboratories’ experiment. For the current study, Demkowicz was able to verify the recently observed phenomenon matched his original simulation models.

“It’s an amazing experiment. However, I think it’s also a great win for theory,” Demkowicz said. “The complexity of materials often makes it difficult to predict new phenomena with confidence. This finding gives me hope that our theoretical models of material behavior are on the right track.”

- This press release was originally published on the Texas A&M University website

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