A Semi-Automated 3D-Printed Chainmail Design Algorithm with Preprogrammed Directional Functions for Hand Exoskeleton
The problem of computerising the design and development of 3D-printed chainmail with programmed directional functions provides a basis for further research, including the automation of medical devices. The scope of the present research was focused on computational optimisation of the selection of ma...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/10/5007 |
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| author | Jakub Kopowski Dariusz Mikołajewski Piotr Kotlarz Ewa Dostatni Izabela Rojek |
| author_facet | Jakub Kopowski Dariusz Mikołajewski Piotr Kotlarz Ewa Dostatni Izabela Rojek |
| author_sort | Jakub Kopowski |
| collection | DOAJ |
| description | The problem of computerising the design and development of 3D-printed chainmail with programmed directional functions provides a basis for further research, including the automation of medical devices. The scope of the present research was focused on computational optimisation of the selection of materials and shapes for 3D printing, including the design of medical devices, which constitutes a significant scientific, technical, and clinical problem. The aim of this article was to solve the scientific problem of automated or semi-automated efficient and practical design of 3D-printed chainmail with programmed directional functions (variable stiffness/elasticity depending on the direction). We demonstrate for the first time that 3D-printed particles can be arranged into single-layer chainmail with a tunable one- or two-directional bending modulus for use in a medical hand exoskeleton. In the present work, we accomplished this in two ways: based on traditional programming and based on machine learning. This paper presents the novel results of our research, including 3D printouts, providing routes toward the wider implementation of adaptive chainmails. Our research resulted in an automated or semi-automated efficient and practical 3D printed chainmail design with programmed directional functions for a wrist exoskeleton with variable stiffness/flexibility, depending on the direction. We also compared two methodologies of planning and construction: the use of traditional software and machine-learning-based software, with the latter being more efficient for more complex chainmail designs. |
| first_indexed | 2024-03-10T03:24:26Z |
| format | Article |
| id | doaj.art-723f7247ec3b4718b93caa538c8cb462 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T03:24:26Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-723f7247ec3b4718b93caa538c8cb4622023-11-23T09:56:23ZengMDPI AGApplied Sciences2076-34172022-05-011210500710.3390/app12105007A Semi-Automated 3D-Printed Chainmail Design Algorithm with Preprogrammed Directional Functions for Hand ExoskeletonJakub Kopowski0Dariusz Mikołajewski1Piotr Kotlarz2Ewa Dostatni3Izabela Rojek4Institute of Computer Science, Kazimierz Wielki University, 85-064 Bydgoszcz, PolandInstitute of Computer Science, Kazimierz Wielki University, 85-064 Bydgoszcz, PolandInstitute of Computer Science, Kazimierz Wielki University, 85-064 Bydgoszcz, PolandFaculty of Mechanical Engineering, Poznan University of Technology, 60-965 Poznan, PolandInstitute of Computer Science, Kazimierz Wielki University, 85-064 Bydgoszcz, PolandThe problem of computerising the design and development of 3D-printed chainmail with programmed directional functions provides a basis for further research, including the automation of medical devices. The scope of the present research was focused on computational optimisation of the selection of materials and shapes for 3D printing, including the design of medical devices, which constitutes a significant scientific, technical, and clinical problem. The aim of this article was to solve the scientific problem of automated or semi-automated efficient and practical design of 3D-printed chainmail with programmed directional functions (variable stiffness/elasticity depending on the direction). We demonstrate for the first time that 3D-printed particles can be arranged into single-layer chainmail with a tunable one- or two-directional bending modulus for use in a medical hand exoskeleton. In the present work, we accomplished this in two ways: based on traditional programming and based on machine learning. This paper presents the novel results of our research, including 3D printouts, providing routes toward the wider implementation of adaptive chainmails. Our research resulted in an automated or semi-automated efficient and practical 3D printed chainmail design with programmed directional functions for a wrist exoskeleton with variable stiffness/flexibility, depending on the direction. We also compared two methodologies of planning and construction: the use of traditional software and machine-learning-based software, with the latter being more efficient for more complex chainmail designs.https://www.mdpi.com/2076-3417/12/10/5007information technologycomputational methodadditive manufacturingrehabilitationexoskeletondirectional features |
| spellingShingle | Jakub Kopowski Dariusz Mikołajewski Piotr Kotlarz Ewa Dostatni Izabela Rojek A Semi-Automated 3D-Printed Chainmail Design Algorithm with Preprogrammed Directional Functions for Hand Exoskeleton Applied Sciences information technology computational method additive manufacturing rehabilitation exoskeleton directional features |
| title | A Semi-Automated 3D-Printed Chainmail Design Algorithm with Preprogrammed Directional Functions for Hand Exoskeleton |
| title_full | A Semi-Automated 3D-Printed Chainmail Design Algorithm with Preprogrammed Directional Functions for Hand Exoskeleton |
| title_fullStr | A Semi-Automated 3D-Printed Chainmail Design Algorithm with Preprogrammed Directional Functions for Hand Exoskeleton |
| title_full_unstemmed | A Semi-Automated 3D-Printed Chainmail Design Algorithm with Preprogrammed Directional Functions for Hand Exoskeleton |
| title_short | A Semi-Automated 3D-Printed Chainmail Design Algorithm with Preprogrammed Directional Functions for Hand Exoskeleton |
| title_sort | semi automated 3d printed chainmail design algorithm with preprogrammed directional functions for hand exoskeleton |
| topic | information technology computational method additive manufacturing rehabilitation exoskeleton directional features |
| url | https://www.mdpi.com/2076-3417/12/10/5007 |
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