Dataset Information

Dataset of angular and compressive responses of biomimetic artificial spinal discs fabricated using multi-material additive manufacturing.

ABSTRACT: To explore the influence of different biomimetic designs and multi-material additive manufacturing on the performance of a multi-material artificial spinal disc (ASD) in terms of restoring natural mechanics, four biomimetic ASD designs together with a control design are first fabricated using a Stratasys Connex3 Objet500 inkjet-based, multi-material 3D printer and their mechanical responses are measured using in-vitro mechanical testing. The mechanical tests include an angular test and a compression test to measure the ASD's behavior in the seven most frequent loading scenarios of a spine: flexion, extension, left/right lateral bending, left/right axial rotation, and compression. The angular test is performed using a custom six degrees of freedom, computer-controlled spine testing system together with an optoelectronic motion analysis system, while the compression test is performed using an Instron testing machine. The presented dataset includes 3D models of the five ASD designs, and raw data of the angular and compressive responses at different strain rates of the five ASD designs. This dataset is related to the article "Exploration of the influence of different biomimetic designs of 3D printed multi-material artificial spinal disc on the natural mechanics restoration" where the detailed designs and load responses of the five multi-material ASDs are presented (Yu et al., 2021). This dataset helps to gain insights into the influence of different biomimetic design concepts on the mechanics of a multi-material ASD and serves as a reference for the future design of multi-material ASDs.

SUBMITTER: Yu Z

PROVIDER: S-EPMC8581503 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Additive manufacturing (AM) nowadays has become a supportive method of traditional manufacturing. In particular, the medical and healthcare industry can profit from these developments in terms of personalized design and batches ranging from one to five specimens overall. In terms of polymers, polyolefins are always an interesting topic due to their low prices, inert chemistry, and crystalline structure resulting in preferable mechanical properties. Their semi-crystalline nature has some advantages but are challenging for AM due to their shrinkage and warping, resulting in geometrical inaccuracies or even layer detaching during the process. To tackle these issues, process parameter optimization is vital, with one important parameter to be studied more in detail, the print envelope temperature. It is well known that higher print envelope temperatures lead to better layer adhesion overall, but this investigation focuses on the mechanical properties and resulting morphology of a semi-crystalline thermoplastic polyolefin. Further, two different AM technologies, namely material jetting (ARBURG plastic freeforming-APF) and filament-based material extrusion, were studied and compared in detail. It was shown that higher print envelope temperatures lead to more isotropic behavior based on an evenly distributed morphology but results in geometrical inaccuracies since the material is kept in a molten state during printing. This phenomenon especially could be seen in the stress and strain values at break at high elongations. Furthermore, a different crystal structure can be achieved by setting a specific temperature and printing time, also resulting in peak values of certain mechanical properties. In comparison, better results could be archived by the APF technology in terms of mechanical properties and homogeneous morphology. Nevertheless, real isotropic part behavior could not be managed which was shown by the specimen printed vertically. Hence, a sweet spot between geometrical and mechanical properties still has to be found.

Dataset Information

Dataset of angular and compressive responses of biomimetic artificial spinal discs fabricated using multi-material additive manufacturing.

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