3D printing of microfludic sensor for soft robots: a preliminary study in design and fabrication

3D printing of microfludic sensor for soft robots: a preliminary study in design and fabrication

This paper presents a feasibility study of using 3D printing technique to fabricate microfluidic sensor for soft robotics. Microfluidic sensors are widely used in lab-on-chip devices for strain and pressure detection. This study explores 3D printing techniques and materials to fabricate microfluidic...

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Main Authors: Goh, Guo Liang, Agarwala, Shweta, Yong, Wai Yee
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference or Workshop Item
Language:English
Published: 2016
Subjects:
3D printing
Microfludic sensor
Online Access:https://hdl.handle.net/10356/84409
http://hdl.handle.net/10220/41755
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-84409
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spelling sg-ntu-dr.10356-844092020-09-24T20:13:06Z 3D printing of microfludic sensor for soft robots: a preliminary study in design and fabrication Goh, Guo Liang Agarwala, Shweta Yong, Wai Yee School of Mechanical and Aerospace Engineering Proceedings of the 2nd International Conference on Progress in Additive Manufacturing (Pro-AM 2016) Singapore Centre for 3D Printing 3D printing Microfludic sensor This paper presents a feasibility study of using 3D printing technique to fabricate microfluidic sensor for soft robotics. Microfluidic sensors are widely used in lab-on-chip devices for strain and pressure detection. This study explores 3D printing techniques and materials to fabricate microfluidic sensors. We report a simple approach like inkjet-printing to print a complex design and fabricate microfluidic strain sensor. Published version 2016-12-08T05:12:56Z 2019-12-06T15:44:35Z 2016-12-08T05:12:56Z 2019-12-06T15:44:35Z 2016 Conference Paper Goh, G. L., Agarwala, S., & Yong, W. Y. (2016). 3D printing of microfludic sensor for soft robots: a preliminary study in design and fabrication. Proceedings of the 2nd International Conference on Progress in Additive Manufacturing (Pro-AM 2016), 177-181. https://hdl.handle.net/10356/84409 http://hdl.handle.net/10220/41755 en © 2016 by Pro-AM 2016 Organizers. Published by Research Publishing, Singapore 5 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic 3D printing
Microfludic sensor
spellingShingle 3D printing
Microfludic sensor
Goh, Guo Liang
Agarwala, Shweta
Yong, Wai Yee
3D printing of microfludic sensor for soft robots: a preliminary study in design and fabrication
description This paper presents a feasibility study of using 3D printing technique to fabricate microfluidic sensor for soft robotics. Microfluidic sensors are widely used in lab-on-chip devices for strain and pressure detection. This study explores 3D printing techniques and materials to fabricate microfluidic sensors. We report a simple approach like inkjet-printing to print a complex design and fabricate microfluidic strain sensor.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Goh, Guo Liang
Agarwala, Shweta
Yong, Wai Yee
format Conference or Workshop Item
author Goh, Guo Liang
Agarwala, Shweta
Yong, Wai Yee
author_sort Goh, Guo Liang
title 3D printing of microfludic sensor for soft robots: a preliminary study in design and fabrication
title_short 3D printing of microfludic sensor for soft robots: a preliminary study in design and fabrication
title_full 3D printing of microfludic sensor for soft robots: a preliminary study in design and fabrication
title_fullStr 3D printing of microfludic sensor for soft robots: a preliminary study in design and fabrication
title_full_unstemmed 3D printing of microfludic sensor for soft robots: a preliminary study in design and fabrication
title_sort 3d printing of microfludic sensor for soft robots: a preliminary study in design and fabrication
publishDate 2016
url https://hdl.handle.net/10356/84409
http://hdl.handle.net/10220/41755
_version_ 1681058375054393344

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