Month: October 2017

4D Printing value $537.8 Million by 2025

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According to a new market research report, “4D Printing Market by Material (Programmable Carbon Fiber, Programmable Wood – Custom Printed Wood Grain, Programmable Textiles), End User (Aerospace, Automotive, Clothing, Construction, Defense, Healthcare & Utility) & Geography – Global Trends & Forecasts to 2019 – 2025 ”.

4D printing technology, being based on 3D printing technology, proposes a new business model to cater to this need of today’s businesses by lowering capital requirement, reducing time-to-market, and facilitating lower requirement of holding an inventory, thereby increasing the efficiency of the business.

Also, the self-transformation ability of 4D printed objects allows after-use-disposition of the object easier as it reacts to external stimuli, thus helping to maintain a sustainable environment in today’s situation of limited resources.

Published by MarketsandMarkets.

The total market is expected to reach $537.8 Million by 2025.

http://www.marketsandmarkets.com

http://www.marketsandmarkets.com/PressReleases/4d-printing.asp

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4D Print’s Shape shifting Architecture

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4D Print’s Shape shifting Architecture


Wyss Institute for Biologically Inspired Engineering at Harvard University. The team of scientists are working  to create transformable architectures.

“This work represents an elegant advance in programmable materials assembly, made possible by a multidisciplinary approach,” said Jennifer Lewis, senior author on the new study.

“Using one composite ink printed in a single step, we can achieve shape-changing hydrogel geometries containing more complexity than any other technique, and we can do so simply by modifying the print path,” said Gladman. “What’s more, we can interchange different materials to tune for properties such as conductivity or biocompatibility.”

Matsumoto said, Our mathematical model prescribes the printing pathways required to achieve the desired shape-transforming response. He also describe, we can control the curvature both discretely and continuously using our entirely tunable and programmable method.

This mathematical modeling inverse problem. 🙂

https://www.harvard.edu/