Additive manufacturing of nylon composites with embedded multi-material piezoresistive strain sensors for structural health monitoring

A hybrid additive manufacturing process is proposed to incorporate piezoresistive sensors into a polyamide matrix for real-time structural health monitoring. 3D-printed samples were tested under tensile, flexural, and indentation testing using various sizes, numbers, and locations of the sensors, wh...

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Main Authors: Gackowski, Bartosz Mikolaj, Goh, Guo Dong, Sharma, Mohit, Idapalapati, Sridhar
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/169265
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author Gackowski, Bartosz Mikolaj
Goh, Guo Dong
Sharma, Mohit
Idapalapati, Sridhar
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Gackowski, Bartosz Mikolaj
Goh, Guo Dong
Sharma, Mohit
Idapalapati, Sridhar
author_sort Gackowski, Bartosz Mikolaj
collection NTU
description A hybrid additive manufacturing process is proposed to incorporate piezoresistive sensors into a polyamide matrix for real-time structural health monitoring. 3D-printed samples were tested under tensile, flexural, and indentation testing using various sizes, numbers, and locations of the sensors, while the electrical resistance was recorded in real-time. Under uniaxial tensile loading, strength reached 36 MPa, and the resistance values linearly increased by up to 105% at ∼150% of strain. During flexural testing, the sensor had higher resistance when it was located above the supports rather than under the loading roller. The conductive paths were placed near the plate's top, middle and bottom sections to localise the damage during indentation testing. The energy absorbed during indentation testing reached 34–36 J. Resistance readings of sensors with 1 cm width showed better linearity and sensitivity than their wide (10 cm) counterparts. Three 2D sensors were interconnected to make a 3D sensor. The resistance values gradually increased after each strike during repeated indentation, but the overall strength remained similar. In summary, this work demonstrates a novel approach toward customisable 3D-printed piezoresistive sensors for detecting global or local damage.
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spelling ntu-10356/1692652023-07-15T16:48:04Z Additive manufacturing of nylon composites with embedded multi-material piezoresistive strain sensors for structural health monitoring Gackowski, Bartosz Mikolaj Goh, Guo Dong Sharma, Mohit Idapalapati, Sridhar School of Mechanical and Aerospace Engineering Institute of Materials Research and Engineering, A*STAR Engineering::Mechanical engineering 3D Printing Buckypapers A hybrid additive manufacturing process is proposed to incorporate piezoresistive sensors into a polyamide matrix for real-time structural health monitoring. 3D-printed samples were tested under tensile, flexural, and indentation testing using various sizes, numbers, and locations of the sensors, while the electrical resistance was recorded in real-time. Under uniaxial tensile loading, strength reached 36 MPa, and the resistance values linearly increased by up to 105% at ∼150% of strain. During flexural testing, the sensor had higher resistance when it was located above the supports rather than under the loading roller. The conductive paths were placed near the plate's top, middle and bottom sections to localise the damage during indentation testing. The energy absorbed during indentation testing reached 34–36 J. Resistance readings of sensors with 1 cm width showed better linearity and sensitivity than their wide (10 cm) counterparts. Three 2D sensors were interconnected to make a 3D sensor. The resistance values gradually increased after each strike during repeated indentation, but the overall strength remained similar. In summary, this work demonstrates a novel approach toward customisable 3D-printed piezoresistive sensors for detecting global or local damage. Agency for Science, Technology and Research (A*STAR) Submitted/Accepted version B.M.G.’s research was funded through the Singapore International Graduate Award (SINGA) from the Agency for Science, Technology and Research (A*STAR). 2023-07-10T07:47:10Z 2023-07-10T07:47:10Z 2023 Journal Article Gackowski, B. M., Goh, G. D., Sharma, M. & Idapalapati, S. (2023). Additive manufacturing of nylon composites with embedded multi-material piezoresistive strain sensors for structural health monitoring. Composites Part B: Engineering, 261, 110796-. https://dx.doi.org/10.1016/j.compositesb.2023.110796 1359-8368 https://hdl.handle.net/10356/169265 10.1016/j.compositesb.2023.110796 2-s2.0-85159553858 261 110796 en Composites Part B: Engineering © 2023 Elsevier Ltd. All rights reserved. This paper was published in Composites Part B: Engineering and is made available with permission of Elsevier Ltd. application/pdf
spellingShingle Engineering::Mechanical engineering
3D Printing
Buckypapers
Gackowski, Bartosz Mikolaj
Goh, Guo Dong
Sharma, Mohit
Idapalapati, Sridhar
Additive manufacturing of nylon composites with embedded multi-material piezoresistive strain sensors for structural health monitoring
title Additive manufacturing of nylon composites with embedded multi-material piezoresistive strain sensors for structural health monitoring
title_full Additive manufacturing of nylon composites with embedded multi-material piezoresistive strain sensors for structural health monitoring
title_fullStr Additive manufacturing of nylon composites with embedded multi-material piezoresistive strain sensors for structural health monitoring
title_full_unstemmed Additive manufacturing of nylon composites with embedded multi-material piezoresistive strain sensors for structural health monitoring
title_short Additive manufacturing of nylon composites with embedded multi-material piezoresistive strain sensors for structural health monitoring
title_sort additive manufacturing of nylon composites with embedded multi material piezoresistive strain sensors for structural health monitoring
topic Engineering::Mechanical engineering
3D Printing
Buckypapers
url https://hdl.handle.net/10356/169265
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