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New Nanoscale 3D Printing Technique Could Solve Vexing Bottlenecks in High-Throughput Nanomanufacturing

By John Holden, Nat Levy

Published Nov. 3, 2022

The University of Texas at Austin has a rich history in 3D printing, inventing one of the first forms of the technology, and now Texas Engineers have received a grant to tackle some of its most glaring problems.

In 3D printing, there is a tradeoff between the precision needed to create the object (resolution) and the speed and scale at which the object can be made (throughput). This is especially true at the nanoscale, where it is practically infeasible to make any kind of complex structure with multiple types of materials or patterns at a high rate.

The new $3 million grant from the National Science Foundation through the Future Manufacturing program will give a UT Austin research team - including Michael Baldea from the McKetta Department of Chemical Engineering, and core faculty at the Oden Institute for Computational Engineering and Sciences - an opportunity to solve this problem at the nanoscale. And they say the technique they are developing will make it easier to produce more complex, tiny structures.

"As printing size gets smaller, printing rate goes down, and what we want to do is break that tradeoff," said Michael Cullinan, an associate professor in the Walker Department of Mechanical Engineering and leader of the project.

The Research: The standard process at smaller scales works by using light to cure a polymer material and change its properties. An image known as a mask is applied to the material to block the light from exposing and curing certain parts of that material, like a highly technological stencil. What is left under the mask is the 3D printed object.

At the nanoscale, the process of diffraction — where light can't fit through tiny holes and therefore veers off course — leads to inaccurate outcomes. The researchers are using this diffraction to their advantage to create patterns on their objects.

The researchers will use a different kind of lense that they call a metamask, placed much closer to the material than usual. Their process creates holograms — 3D images of light — with a thin structure. Exposing the photocurable material using holograms creates a solid 3D structure. Based on the color of the light, the material will react differently and take on different properties.

"You get an idea of what structure you want to build, and then work backwards to design the mask that forms the image needed to make that structure," Cullinan said. 

This technique allows the researchers to build more precise images with improved resolution. That leads to the ability to create multi-material structures with increased speed because it can be done all at once instead of having to create multiple structures with different materials and then put them together in s serial fabrication process.

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Why it Matters: The researchers have targeted water filtration membranes, which remove chemicals from water, as their primary application. These are critical to the health of society, cleaning billions of gallons of water for energy production, agriculture and drinking, but they are complex and not particularly efficient. This 3D printing technique offers the potential to manufacture carefully designed membranes that are stiff in some places and flexible in others to be permeable for water but to keep out unwanted elements. 

What Else: In addition to the manufacturing technique, the researchers will develop a data processing model to give real-time feedback about how well the process is working. This will allow them to quickly adjust and improve on their designs. The researchers also plan to create educational opportunities, such as certificate programs, workshops and even master's programs to help people already in the industry as well as students from underrepresented groups learn these skills.

The Team: In addition to Cullinan, co-leaders on the project from UT Austin include Chih-Hao Chang, Walker Department of Mechanical Engineering; Michael Baldea, McKetta Department of Chemical Engineering; and Zak Page, Department of Chemistry in the College of Natural Sciences. Other team members include: Rajesh Menon, Department of Electrical and Computer Engineering at the University of Utah, and Nick Jackson, Department of Chemistry at the University of Illinois Urbana-Champaign.

This story was originally published by the Cockrell School of Engineering.