Additive ManufacturingAM ResearchInspection/NDTPost-ProcessingResearch & Education

ORNL researchers use neutrons to detect stress in WAAM 3D printed parts

The experiment is based on OpeN-AM, a 3D printing platform using the VULCAN beamline at the lab's Spallation Neutron Source

Stay up to date with everything that is happening in the wonderful world of AM via our LinkedIn community.

Using neutrons to see the additive manufacturing process at the atomic level, ORNL (Oak Ridge National Laboratory) scientists have used the OpeN-AM platform to show that they can measure strain in a material as it evolves and track how atoms move in response to stress.

“The automotive, aerospace, clean energy and tool-and-die industries — any industry that needs complex and high-performance parts — could use additive manufacturing,” said Alex Plotkowski, materials scientist in ORNL’s Materials Science and Technology Division and the lead scientist of the experiment. Plotkowski and his colleagues reported their findings in Nature Communications.

ORNL scientists have developed OpeN-AM, a 3D printing platform that can measure evolving residual stress during manufacturing using the VULCAN beamline at ORNL’s Spallation Neutron Source, or SNS, a Department of Energy Office of Science user facility. When combined with infrared imaging and computer modeling, this system enables unprecedented insight into material behavior during manufacturing.

In this case, they used low-temperature transformation, or LTT, steel, physically measuring how atoms move in response to stress, whether it’s temperature or load, using the OpeN-Am platform.

Residual stresses are stresses that remain even after a load or the cause of the stress is removed; they can deform a material or, worse, cause it to fail prematurely. Such stresses are a major challenge for fabricating accurate components with desirable properties and performance.

ORNL researchers use neutrons to detect residual stress in DED 3D printed parts with the OpeN-AM 3D printing platform We have successfully shown that there is a way to do that. We are demonstrating we understand connections in one case to anticipate other cases.Alex Plotkowski, materials scientist in ORNL’s Materials Science and Technology Division and the lead scientist of the experiment

The scientists conceived and, over the course of two years, produced this experiment that can measure strain in the material as it evolves, which determines how stresses will be distributed.

“Manufacturers will be able to tailor residual stress in their components, increasing their strength, making them lighter and in more complex shapes. The technology can be applied to anything you want to manufacture,” Plotkowski said.

“We have successfully shown that there is a way to do that,” he said. “We are demonstrating we understand connections in one case to anticipate other cases.”

The scientists recently earned a 2023 R&D 100 Award for this technology. R&D World magazine announced the winners in August. Plotkowski and other winners will be recognized at the organization’s award ceremony Nov. 16 in San Diego.

The scientists used a custom wire-arc additive manufacturing platform to perform what’s called operando neutron diffraction of an LTT metal at SNS. Using SNS’s VULCAN beamline, they processed the steel and recorded data at various stages during manufacturing and after cooling to room temperature. They combined diffraction data with infrared imaging to confirm the results. The system was designed and built at the Manufacturing Demonstration Facility, or MDF, a DOE Advanced Materials and Manufacturing Technologies Office user consortium, where a replicate system of the platform was also constructed to plan and test experiments before executing at the beamline.

SNS operates a linear particle accelerator that produces beams of neutrons to study and analyze materials at the atomic scale. The research tool they developed allows scientists to peer inside a material as it’s being produced, literally observing the mechanisms at work in real-time.

The LTT steel was melted and deposited in layers. As the metal solidified and cooled, its structure transformed in what is called a phase transformation. When that happens, atoms rearrange and take up different spaces, and the material behaves differently.

Normally, transformations that happen at high temperatures are hard to understand when looking at a material only after processing. By observing the LTT steel during processing, the scientists’ experiment shows that they can understand and manipulate the phase transformation.

“We want to understand what these stresses are, explain how they got there, and figure out how to control them,” Plotkowski said.

According to the study’s authors, these results provide a new pathway to design desirable residual stress states and property distributions within additively manufactured components by using process controls to improve nonuniform spatial and temporal variations of thermal gradients around key phase transformation temperatures.

Plotkowski hopes scientists from around the world come to ORNL to do similar experiments on metals they would like to use in manufacturing.

This OpeN-AM research was funded by ORNL’s Laboratory Directed Research and Development program, which supports high-risk research and development in areas of potential high value to national programs. Co-authors include ORNL’s Chris Fancher, James Haley, Ke An, Rangasayee Kannan, Thomas Feldhausen, Yousub Lee, Dunji Yu and Joshua Vaughan; University of Tennessee-ORNL Governor’s Chair Suresh Babu; and former ORNL researchers Kyle Saleeby, Guru Madireddy and C. Leach.

Research
Composites AM 2024

746 composites AM companies individually surveyed and studied. Core composites AM market generated over $785 million in 2023. Market expected to grow to $7.8 billion by 2033 at 25.8% CAGR. This new...

Edward Wakefield

Edward is a freelance writer and additive manufacturing enthusiast looking to make AM more accessible and understandable.

Related Articles

Leave a Reply

Your email address will not be published. Required fields are marked *

Back to top button
Close Popup
Privacy Settings saved!
Privacy Settings

When you visit any web site, it may store or retrieve information on your browser, mostly in the form of cookies. Control your personal Cookie Services here.

These cookies are necessary for the website to function and cannot be switched off in our systems.

Technical Cookies
In order to use this website we use the following technically required cookies
  • PHPSESSID
  • wordpress_test_cookie
  • wordpress_logged_in_
  • wordpress_sec

Decline all Services
Save
Accept all Services

Newsletter

Join our 12,000+ Professional community and get weekly AM industry insights straight to your inbox. Our editor-curated newsletter equips executives, engineers, and end-users with crucial updates, helping you stay ahead.