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Deformation Fingerprints Will Help Researchers Design Better Metallic Materials

Researchers found that the statistical investigation of the nanoscale events can inform fatigue strength of metals

CHAMPAIGN, IL — 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 deformation events that lead to metal failure and breakage at the origin of metal failure. The new method helps scientists to rapidly predict the fatigue strength of any alloy, and design new materials for engineering systems subject to repeated loading for medical, transportation, safety, energy, and environmental applications.

The findings of the study, led by materials science and engineering professors Jean-Charles Stinville and Marie Charpagne, are published in the journal Science.

Fatigue of metals and alloys—such as the repeated bending of a metal paperclip that leads to its fracture—is the root cause of failure in many engineering systems, Stinville said. Defining the relationship between fatigue strength and the microstructure is challenging because metallic materials display complex structures with features ranging from the nanometer to the centimeter scale.

“This multiscale issue is a long-standing problem because we’re trying to observe sparse, nanometer-sized events that control macroscopic properties and can be captured only by investigating large areas with fine resolution,” Charpagne said. "The current method for determining fatigue strength in metals uses traditional mechanical testing that is costly, time-consuming, and does not provide a clear picture of the root cause of failure."

In the current study, the researchers found that the statistical investigation of the nanoscale events that appear at the metal surface when deformed can inform fatigue strength of metals. The team is the first to uncover this relationship using automated high-resolution digital image correlation collected in the scanning electron microscope—a technique that compiles and compares a series of images recorded during deformation, Stinville said. The researchers demonstrated this relation on alloys of aluminum, cobalt, copper, iron, nickel, steel, and refractory alloys used in a large variety of key engineering applications.  

“What is remarkable is that the nanoscale deformation events that appear after a single deformation cycle correlate with the fatigue strength that inform the life of a metallic part under a large number of cycles,” Stinville said. "Discovering this correlation is like having access to a unique deformation fingerprint that can help us rapidly predict the fatigue life of metallic parts.”

“Designing metallic materials with higher fatigue strength means safer, more resilient, and durable materials,” Charpagne said. “This work has societal, environmental, and economic impacts because it sheds light on the micro and nanoscale parameters to tune to design materials with a longer life. I think this work will define a new paradigm in alloy design.”

This study was performed in collaboration with researchers from the University of California, Santa Barbara and the Universite de Poitiers, France.

The Department of Defense, the Office of Naval Research and the department of materials science and engineering at Illinois supported this research.

- This press release was originally published on the University of Illinois at Urbana-Champaign website