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Game-changing finding pushes 3D-printing to the molecular limit
by Staff Writers
Nottingham UK (SPX) Jun 20, 2018

Blue cube of 3D printed material containing photochromic molecules.

The research, led by Dr Victor Sans Sangorrin from the Faculty of Engineering and Dr Graham Newton from the School of Chemistry, is published in the academic journal, Advanced Materials.

"This bottom-up approach to device fabrication will push the boundaries of additive manufacturing like never before. Using a unique integrated design approach, we have demonstrated functional synergy between photochromic molecules and polymers in a fully 3D-printed device. Our approach expands the toolbox of advanced materials available to engineers developing devices for real-world problems," explains Dr Sans.

To demonstrate their concept, the team developed a photoactive molecule that changes from colourless to blue when irradiated with light. The colour change can then be reversed by exposure to oxygen from the air.

The researchers then 3D-printed composite materials by combining the photoactive molecules with a tailor-made polymer, yielding a new material that can store information reversibly.

Dr Newton, said: "We can now take any molecules that change properties upon exposure to light and print them into composites with almost any shape or size. In theory, it would be possible to reversibly encode something quite complex like a QR code or a barcode, and then wipe the material clean, almost like cleaning a whiteboard with an eraser. While our devices currently operate using colour changes, this approach could be used to develop materials for energy storage and electronics."

Research paper


Related Links
University of Nottingham
Space Technology News - Applications and Research


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TECH SPACE
Combining experts and automation in 3D printing
Pittsburgh PA (SPX) Jun 18, 2018
Researchers in Carnegie Mellon University's College of Engineering have developed a novel approach to optimizing soft material 3-D printing. The researchers' Expert-Guided Optimization (EGO) method combines expert judgment with an optimization algorithm that efficiently searches combinations of parameters relevant for 3-D printing, enabling high-fidelity soft material products to be printed. The researchers - which include lead author Sara Abdollahi, a Ph.D. student in biomedical engineering; Adam ... read more

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