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A low-cost and open-source measurement system to determine the Young’s and shear moduli and Poisson's ratio of soft materials using a Raspberry Pi camera module and 3D printed parts

Advances in biomedical and engineering fields have greatly increased the need for understanding of soft structures. Soft materials such as gelatin and gelatin-based hydrogels have grown in popularity for use in a wide variety of applications including tissue engineering, biofabrication, and organ tr...

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Detalles Bibliográficos
Autores principales: Sands, Matthew, Kim, Jinki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793308/
https://www.ncbi.nlm.nih.gov/pubmed/36582477
http://dx.doi.org/10.1016/j.ohx.2022.e00386
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author Sands, Matthew
Kim, Jinki
author_facet Sands, Matthew
Kim, Jinki
author_sort Sands, Matthew
collection PubMed
description Advances in biomedical and engineering fields have greatly increased the need for understanding of soft structures. Soft materials such as gelatin and gelatin-based hydrogels have grown in popularity for use in a wide variety of applications including tissue engineering, biofabrication, and organ transplantation. With hydrogel structures being used in such demanding applications, it is crucial to properly characterize the dynamic behavior of these soft structures. Although there have been major improvements in measurement technology for determining the mechanical properties of soft, translucent materials, it remains quite challenging to reliably measure the Young’s and shear moduli of these materials in a way that remains straightforward, low-cost, and non-contact. This research aims to address the weaknesses in modern measurement methods and develop a system suitable for characterizing the elastic moduli of soft materials that requires only four, inexpensive, off-the-shelf components. Utilizing a Raspberry Pi, stepping motor, and an inexpensive camera, the Young’s and shear moduli of a gelatin column is measured five times. The standard deviation between measurement was observed to be less than 0.15% with high accuracy having an error of less than 4.6% when compared to relatively expensive, conventional measurement techniques.
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spelling pubmed-97933082022-12-28 A low-cost and open-source measurement system to determine the Young’s and shear moduli and Poisson's ratio of soft materials using a Raspberry Pi camera module and 3D printed parts Sands, Matthew Kim, Jinki HardwareX Hardware Article Advances in biomedical and engineering fields have greatly increased the need for understanding of soft structures. Soft materials such as gelatin and gelatin-based hydrogels have grown in popularity for use in a wide variety of applications including tissue engineering, biofabrication, and organ transplantation. With hydrogel structures being used in such demanding applications, it is crucial to properly characterize the dynamic behavior of these soft structures. Although there have been major improvements in measurement technology for determining the mechanical properties of soft, translucent materials, it remains quite challenging to reliably measure the Young’s and shear moduli of these materials in a way that remains straightforward, low-cost, and non-contact. This research aims to address the weaknesses in modern measurement methods and develop a system suitable for characterizing the elastic moduli of soft materials that requires only four, inexpensive, off-the-shelf components. Utilizing a Raspberry Pi, stepping motor, and an inexpensive camera, the Young’s and shear moduli of a gelatin column is measured five times. The standard deviation between measurement was observed to be less than 0.15% with high accuracy having an error of less than 4.6% when compared to relatively expensive, conventional measurement techniques. Elsevier 2022-12-13 /pmc/articles/PMC9793308/ /pubmed/36582477 http://dx.doi.org/10.1016/j.ohx.2022.e00386 Text en © 2022 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Hardware Article
Sands, Matthew
Kim, Jinki
A low-cost and open-source measurement system to determine the Young’s and shear moduli and Poisson's ratio of soft materials using a Raspberry Pi camera module and 3D printed parts
title A low-cost and open-source measurement system to determine the Young’s and shear moduli and Poisson's ratio of soft materials using a Raspberry Pi camera module and 3D printed parts
title_full A low-cost and open-source measurement system to determine the Young’s and shear moduli and Poisson's ratio of soft materials using a Raspberry Pi camera module and 3D printed parts
title_fullStr A low-cost and open-source measurement system to determine the Young’s and shear moduli and Poisson's ratio of soft materials using a Raspberry Pi camera module and 3D printed parts
title_full_unstemmed A low-cost and open-source measurement system to determine the Young’s and shear moduli and Poisson's ratio of soft materials using a Raspberry Pi camera module and 3D printed parts
title_short A low-cost and open-source measurement system to determine the Young’s and shear moduli and Poisson's ratio of soft materials using a Raspberry Pi camera module and 3D printed parts
title_sort low-cost and open-source measurement system to determine the young’s and shear moduli and poisson's ratio of soft materials using a raspberry pi camera module and 3d printed parts
topic Hardware Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793308/
https://www.ncbi.nlm.nih.gov/pubmed/36582477
http://dx.doi.org/10.1016/j.ohx.2022.e00386
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