Design and fabrication of integrated soft sensor for soft gripper using multi-material 3D printing

In the field of soft robotics, integration of sensors into soft, flexible grippers poses significant challenges due to their high-dimensionality and the complexities in developing soft sensors. Selecting suitable sensor types and their placements, while maintaining the dynamics of the soft system, i...

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Main Author: Li, Xin
Other Authors: Yeong Wai Yee
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2023
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Online Access:https://hdl.handle.net/10356/167961
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1679612023-05-27T16:56:00Z Design and fabrication of integrated soft sensor for soft gripper using multi-material 3D printing Li, Xin Yeong Wai Yee School of Mechanical and Aerospace Engineering Schaeffler Hub for Advanced REsearch (SHARE) Lab WYYeong@ntu.edu.sg Engineering::Mechanical engineering In the field of soft robotics, integration of sensors into soft, flexible grippers poses significant challenges due to their high-dimensionality and the complexities in developing soft sensors. Selecting suitable sensor types and their placements, while maintaining the dynamics of the soft system, is a critical hurdle. This dissertation focuses on the design, integration, and testing of 3D printed piezoresistive sensors for soft grippers to evaluate their gripping performance. In this study, three types of sensors were designed: Sponge Sensor, Oreo Sensor, and Bridge Sensor. Experimental results and analysis show that the Bridge Sensor design is feasible, while the other two designs face manufacturing challenges and exhibit poor performance. The Bridge Sensor is integrated into the gripper fingers and its sensing performance is tested. The study investigates the design parameters of the Bridge Sensor, including the sensor infill and placement orientations, the gripper infill density. These parameters have been verified through cyclic loading experiments. The obtained results indicate that 0° and 45° infill orientations offer stable sensing performance, and the perpendicular placement orientation outperforms others. In terms of infill density of gripper, 10%, 15%, and 20% demonstrate good sensing performance within a large force range, but only the 20% infill density of gripper exhibits stable and sensitive performance within a small force range. The findings provide valuable insights for the development of smart multi-material grippers with integrated soft sensors for various gripping applications. Keywords: Piezoresistive sensor, soft gripper, 3D multi-material printing Master of Science (Mechanical Engineering) 2023-05-23T00:32:07Z 2023-05-23T00:32:07Z 2023 Thesis-Master by Coursework Li, X. (2023). Design and fabrication of integrated soft sensor for soft gripper using multi-material 3D printing. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167961 https://hdl.handle.net/10356/167961 en I2001E0067 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
spellingShingle Engineering::Mechanical engineering
Li, Xin
Design and fabrication of integrated soft sensor for soft gripper using multi-material 3D printing
description In the field of soft robotics, integration of sensors into soft, flexible grippers poses significant challenges due to their high-dimensionality and the complexities in developing soft sensors. Selecting suitable sensor types and their placements, while maintaining the dynamics of the soft system, is a critical hurdle. This dissertation focuses on the design, integration, and testing of 3D printed piezoresistive sensors for soft grippers to evaluate their gripping performance. In this study, three types of sensors were designed: Sponge Sensor, Oreo Sensor, and Bridge Sensor. Experimental results and analysis show that the Bridge Sensor design is feasible, while the other two designs face manufacturing challenges and exhibit poor performance. The Bridge Sensor is integrated into the gripper fingers and its sensing performance is tested. The study investigates the design parameters of the Bridge Sensor, including the sensor infill and placement orientations, the gripper infill density. These parameters have been verified through cyclic loading experiments. The obtained results indicate that 0° and 45° infill orientations offer stable sensing performance, and the perpendicular placement orientation outperforms others. In terms of infill density of gripper, 10%, 15%, and 20% demonstrate good sensing performance within a large force range, but only the 20% infill density of gripper exhibits stable and sensitive performance within a small force range. The findings provide valuable insights for the development of smart multi-material grippers with integrated soft sensors for various gripping applications. Keywords: Piezoresistive sensor, soft gripper, 3D multi-material printing
author2 Yeong Wai Yee
author_facet Yeong Wai Yee
Li, Xin
format Thesis-Master by Coursework
author Li, Xin
author_sort Li, Xin
title Design and fabrication of integrated soft sensor for soft gripper using multi-material 3D printing
title_short Design and fabrication of integrated soft sensor for soft gripper using multi-material 3D printing
title_full Design and fabrication of integrated soft sensor for soft gripper using multi-material 3D printing
title_fullStr Design and fabrication of integrated soft sensor for soft gripper using multi-material 3D printing
title_full_unstemmed Design and fabrication of integrated soft sensor for soft gripper using multi-material 3D printing
title_sort design and fabrication of integrated soft sensor for soft gripper using multi-material 3d printing
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/167961
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