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Worker cutting metal with a saw

Researchers Turn to an Everyday Shop Tool to Study How Materials Behave

Testing how materials deform and fail under harsh conditions is key to manufacturing processes

by Texas A&M University
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Researchers at Texas A&M University are taking a traditional manufacturing tool—metal cutting—and developing a more accessible method for understanding the behavior of metals under extreme conditions.

Metal cutting—scraping a thin layer of material from a metal’s surface using a sharp knife (not unlike how we scrape butter)—might not be the first thing that comes to mind for studying material properties. However, Drs. Dinakar Sagapuram and Hrayer Aprahamian, assistant professors in the Wm Michael Barnes ’64 Department of Industrial and Systems Engineering, wanted to see if the process could predict material behavior under various deformation conditions. Their team included Harshit Chawla, an industrial and systems engineering doctoral student, and Dr. Shwetabh Yadav, an assistant professor at the Indian Institute of Technology Hyderabad.

“The knowledge of how materials deform and fail under harsh mechanical conditions is vital for studying and developing various technological applications, including manufacturing processes, crash testing of vehicles and impact testing for defense-related applications,” Chawla said.

Because the cutting process involves locally shearing or deforming the metal to extreme levels under high rates, the team hypothesized that it could provide fundamental information on the material’s strength, resistance to plastic deformation or irreversible shape change.

“The research opens a new and interesting application for metal cutting as a ‘property test’ that material scientists and physicists can use to test their theories,” Sagapuram said. “The number of mathematical theories of metal plasticity under high strain rates far outstrips the experimental data. So, the property information obtained using metal cutting can test which theories are valid and which are not.”

The team uses a high-speed camera to observe how metals deform and shear when they encounter a sharp cutting tool and then use this information to deduce their basic property information. A significant challenge, however, lies in obtaining intrinsic material properties from the visual high-speed imaging data. While metal cutting is not Aprahamian’s area of expertise, the partnership with Sagapuram has generated new ideas and numerical techniques.

“An important aspect of this research is to establish mathematical optimization techniques that guarantee global optimality, thereby achieving the best possible solution,” Aprahamian said. “Otherwise, you might obtain solutions that seem satisfactory, but they don’t accurately describe the material.”

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Metal cutting’s advantages over the testing methods used today are that it is simple and can produce a range of conditions that are difficult to achieve using conventional tests but are important from the standpoint of various engineering applications.

“We’re excited about the prospect of using cutting as a convenient method to determine material properties that are now obtained only with considerable difficulty,” Sagapuram said. “Because it is so simple, in principle, anyone with access to a machine shop can now obtain material data without sophisticated testing capabilities.”

The team recently published their work in the Proceedings of the Royal Society A journal, with another paper on the numerical techniques in the works. A grant from the National Science Foundation supports the research.

Sagapuram said the team recently started collaborating with the Los Alamos National Laboratory, supported by the Texas A&M University System National Laboratories Office, to cross-compare their data with the more established material dynamic strength testing platforms available on-site at the lab. These studies will contribute to validating the method and verifying whether different experiments on the same metal provide consistent data.

Aprahamian said their work to develop mathematical techniques also has potential applications outside material characterization.

“My group is extending some of these algorithms and techniques to the health care field, where we are using global optimization tools to construct robust screening strategies,” Aprahamian said. “This can be used to prevent future outbreaks and improve screening for infectious diseases among the population.”

Chawla said the research has allowed him to work in a field that’s interested him for years.

“It was interesting to study the mechanics of the metal cutting process using innovative experimental techniques,” Chawla said. “Getting to closely observe the material deformation during cutting, especially at a microscopic level at high frame rates, was fascinating.”

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