Design News is part of the Informa Markets Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them. Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Researchers Develop Simulation Process for Metal AM Parts

A laser interacting with Inconel powder inside an EOS DMLS M290 3D printer at ANSYS Additive Manufacturing Research Lab
The goal of the NASA-backed research is to create a simulation process for 3D-printed metal parts for high-temperature applications such as jet engines or spacecraft.

While additive manufacturing (AM) has been a cost-saving and opportunity-creating boon for many industries, it has remained an out-of-reach challenge for some high-temperature applications, most notably in the aerospace sector. At present, the only way to certify a part created by additive manufacturing for space applications is to perform extensive microstructure and property characterization tests on the parts. The costs and time it takes to complete these tests has made it difficult to use 3D-printing technologies, and have put the process out of reach for some manufacturers.

The testing is critical, though, to ensure quality in AM parts, as there are many complex interactions between laser/electron beam and metal powder during the printing process that can affect final performance and create differences in microstructure from part to part. Because the laser melting process is extremely fast, it’s hard to quantitatively measure the thermal profile in the building alloys, and the thermal history affects the microstructure evolution, including internal stress of materials. The need for extensive testing is therefore understandable.

In an attempt to address the knowledge gap, NASA’s Space Technology Research Grants Program recently awarded an “Early Stage Innovations” (ESI) grant to simulation software company ANSYS Inc., a team of additive manufacturing researchers from the University of Pittsburgh’s Swanson School of Engineering.

NASA has provided the Pitt research team with $500,000 over three years based on a proposal entitled, “Prediction of Microstructure Evolution in DMLM (Direct Material Laser Melting) process Inconel 718 with Part Scale Simulation.” This year, NASA awarded ESI grants to 13 different university research proposals.

The goal of the Pitt research is to create a simulation process for 3D-printed metal parts for high-temperature applications such as jet engines or spacecraft. Once fully realized, the research will develop a method to virtually visualize 3D-printed parts for elements such as strength and creep without the need for costly and time-consuming microstructure tests. A new integrated phase transformation and grain texture model that can predict microstructure evolution under complex heating and cooling cycles would reduce the need for extensive physical testing. In addition, a simulation-based certification for AM parts for aerospace could also substantially lower the expense of certification, opening the market for more manufacturers (in the words of the aerospace industry, it will “reduce technology insertion risks.”)

The University of Pittsburgh research is being headed by Albert To, associate professor of mechanical engineering and materials science and director of the ANSYS Additive Manufacturing Research Laboratory, as well as Wei Xiong, an assistant professor of mechanical engineering and materials science.

A laser interacting with Inconel powder inside an EOS DMLS M290 3D printer at ANSYS Additive Manufacturing Research Lab.

For the basis for its work, the team chose Inconel 718, a nickel-chromium “superalloy,” because the material is well suited for high strength applications up to ~760°C as well as high tensile pressure. It has also been studied extensively due to its wide number of applications, Professor Xiong told Design News.

“In many superalloys, gamma prime (Υ’) particle is designed in the microstructure to strengthen the material for high strength and high temperature applications,” he said. “But Inconel 718 has special precipitates: not only common gamma prime ordered precipitation, but also gamma double prime strengthening particles. So this alloy forms a more complicated microstructure compared to the superalloys with only gamma prime particle for strengthening.”

The simulations will be based on Integrated Computational Materials Engineering (ICME), a library of tools and materials properties that can allow designers to simulate the entire production process before production even begins. The Pitt researchers believe that if their ICME model can be applied to Inconel 718, it should be easy to transfer it to other types of alloys that might be useful to aerospace development and other applications.

“If we could develop this ICME model successfully, we can expect to have a powerful toolset to predict microstructure and thus design mechanical properties of alloys,” Professor Xiong told Design News. “This is beneficial to improve the overall performance of the 3D-manufactured components. If we do not have such an ICME toolset, we rely on trial-and-error method to obtain good processing parameters. This will significantly constrain the applications of additive manufacturing.”

This simulation process is still a new frontier for NASA, and the agency’s interest is understandable. (In fact, despite budget cuts in other areas, NASA is aggressively pursuing additive manufacturing technologies.) The goal of the agency’s Space Technology Research Grants program is to accelerate technologies in their early stages so they can eventually be implemented by NASA, other government agencies, and the commercial aerospace sector.

The University of Pittsburgh and ANSYS will not be the only researchers pursuing methodologies on NASA’s behalf for simulations for AM-created parts that operate under high temperatures and pressures. A proposal for an ESI grant was also accepted from the Ohio State University, Columbus based on its submission, “Certification of Additive Manufacturing Processing Parameters through Physics-Based Predictive Simulation of Process-Defects-Microstructure.”
The full list of 2016 grand recipients can be found here.

TAGS: Materials
Hide comments


  • Allowed HTML tags: <em> <strong> <blockquote> <br> <p>

Plain text

  • No HTML tags allowed.
  • Web page addresses and e-mail addresses turn into links automatically.
  • Lines and paragraphs break automatically.