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Blossoming 3D-Printed Flowers

Researchers from Singapore Created a Flower That Responds to Light

— July 19, 2017 — Tech
A group of researchers from Singapore's Nanyang Technological University successfully created a 3D-printed flower using additive manufacturing that blossoms when exposed to a source of light.

The researchers set out to create a printed object that could respond to stimuli—and something other than just a change in temperature. The printed flower itself is made with a modified polyurethane material, which is able to remember its original shape. Since carbon black is also integrated into the material, the plastic object generates a slight amount of heat and causes the shape of the object to change in response to light or sun exposure.

This example of photoresponsive 4D printing, the process of printing objects that boast the ability to transform, sets a new precedent for artificial flowers and plants of the future.
Trend Themes
1. Photoresponsive 4D Printing - The innovation provides opportunities for manufacturing objects that have the ability to transform, like the 3D-printed flower that blooms in response to light.
2. Additive Manufacturing for Novel Materials - Researchers can improve additive manufacturing by experimenting with modified materials that respond to stimuli and are suited for creating new and innovative products.
3. Artificial Flowers and Plants of the Future - Manufacturers can develop new methods to create realistic-looking artificial plants by incorporating technology that can cause them to move and change in response to environmental cues.
Industry Implications
1. 3D Printing - The potential for novel materials like the modified polyurethane used to make the 3D-printed flower could drive innovation and create new product possibilities.
2. Home Decor - The ability to create artificial plants that mimic their real-life counterparts may provide new opportunities for designers and manufacturers to create unique and customizable home decor products.
3. Artificial Intelligence - Developing algorithms that can mimic the behavior of living organisms in response to environmental cues could lead to the creation of intelligent and adaptive artificial systems.
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