An energy storage and power generation system being designed at the University of Louisiana at Lafayette could make
Researchers at the University of Louisiana at Lafayette will develop and analyze new 3-D printing materials and processes as part of a five-university, $20M project funded by the National Science Foundation under the EPSCoR Research Infrastructure Improvement Track-1 Program.
The UL Lafayette team includes Drs. Miao Jin, Henry Chu, and Xiali Hei from the Ray P. Authement College of Sciences, and Drs. William Chirdon, Ahmed Khattab, Jonathan R Raush, and Xiao-Dong Zhou from the Institute for Materials Research and Innovation (IMRI) and College of Engineering.
The project established the Louisiana Material Design Alliance (LAMDA), a consortium coordinated by the Louisiana Board of Regents that includes LSU, UL Lafayette, Louisiana Tech University, Southern University, and Tulane University. The universities will conduct research that will be shared with federal agencies and industry to address a growing reliance on 3-D printing in manufacturing. UL Lafayette’s portion of the grant is $2.7 million.
“LAMDA provides a framework for research that will include opportunities for undergraduate and graduate students,” said Dr. Miao Jin, an Associate Professor in UL Lafayette’s School of Computing and Informatics. Jin is leading the University’s research for the project.
“LAMDA was also created to help universities enhance curriculums and hire faculty members to educate and train students who will help fill workforce needs. It’s a comprehensive, balanced approach designed to benefit the entire state,” she added.
3-D printing, which is also known as additive manufacturing, involves creating an object from a three-dimensional digital model by “laying down” many thin layers of a material, such as metal or plastic.
The process was developed in the 1980s and became common in industrial manufacturing the following decade. “It has become popular in many industries now,” said Dr. Jonathan Raush, the Associate Director of IMRI and an Assistant Professor in the Department of Mechanical Engineering.
3-D printing is used to make everything from prosthetics and jewelry, to automobile parts and computer components. It is increasingly being implemented for biomedical, energy, and aerospace applications. “Accompanying the growth of 3-D printing is a need to develop materials with a broader range of compositions and properties that make them more durable, or lighter, or otherwise tailored to specific products and applications,” Raush explained. UL Lafayette researchers will do that by integrating elements of computer science and engineering.
Researchers will design and analyze complex alloys and polymers. Complex alloys are created by combining two or more metallic elements. All plastics are comprised of polymers, which are long chains of bonded molecules. Not all polymers, however, are plastics.
Researchers will also test materials to see how they react to factors such as heat and pressure to gauge “fatigue” limits, or the highest level of stress a material can withstand.
“The process of discovering optimal processes and new materials for specific functions will be guided by machine learning, a form of artificial intelligence,” Jin explained.
Machine learning models are capable of “learning” from data and making predictions - about which 3-D printing processes or new materials are best suited for a particular application, for example.
Researchers in the School of Computing and Informatics will develop machine learning models based on information gleaned from research into 3-D printing processes and materials.
“Components can be manufactured with more complicated shapes at much lower weights with 3-D printing than with traditional manufacturing methods. The problem is a lack of existing 3-D printing materials that provide a desired fatigue life. Data analysis and machine learning will guide us to new materials or processes that are optimal for specific applications,” Jin said.
In addition to machine learning, the research team will address cybersecurity issues of 3-D printers, which is critical in order for industry to accept 3-D printing as an integral part of the manufacturing process. “The printing process of 3-D printers is sensitive to the temperature changes of the nozzles. Our research has shown that the EMI signal injection attack can fool the temperature sensors. We need to protect the 3-D printers from attacks at their temperature sensors and monitor the real temperature in real-time,” said Dr. Xiali (Sharon) Hei, an Assistant Professor in the School of Computing and Informatics.
Graphic: University of Louisiana at Lafayette