Abstract
Additive manufacturing (AM) technologies benefit innovation and development as they enable designers and scientists to prototype models to evaluate their initial performance. A novel digital model to study the mechanical behavior of porous structures during their fabrication is presented. The digital light projection (DLP), a type of additive manufacturing, is still non-reliable for constructing porous structures because of the phenomena known as separation force. This separation force produces high mechanical stress on the structures during the building process. If the structure being constructed is porous, it usually is fragile, then the action of separation force results in breaking or distortion of the construct. The digital model consists of three modules: Computer-Aided Design (CAD), Slicing and Analysis/Report. As proof of concept, a TPMS-based structure was evaluated. The performance of the digital model enables possibilities to detect early failures avoiding waste of time and resources. The focus of the study is to report some practical instructions to design porous structures to obtain the maximum advantages when these constructs will build with DLP-based additive manufacturing.
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References
Chua, C.K., Wong, C.H., Yeong, W.Y.: Roadmap on additive manufacturing standards. In: Standards, Quality Control, and Measurement Sciences in 3D Printing and Additive Manufacturing, pp. 31–55. Elsevier (2017)
Pellegrino, J., Makila, T., McQueen, S., Taylor, E.: Measurement science roadmap for polymer-based additive manufacturing. National Institute of Standards and Technology, Gaithersburg, MD, NIST AMS, pp. 100–105, December 2016. https://doi.org/10.6028/NIST.AMS.100-5
Kodama, H.: Automatic method for fabricating a three-dimensional plastic model with photo-hardening polymer. Rev. Sci. Instrum. 52(11), 1770–1773 (1981). https://doi.org/10.1063/1.1136492
Dean, D., et al.: Continuous digital light processing (cDLP): highly accurate additive manufacturing of tissue engineered bone scaffolds: this paper highlights the main issues regarding the application of continuous digital light processing (cDLP) for the production of highly accurate PPF scaffolds with layers as thin as 60 μm for bone tissue engineering. Virt. Phys. Prototyp. 7(1), 13–24 (212). https://doi.org/10.1080/17452759.2012.673152
van Bochove, B., Hannink, G., Buma, P., Grijpma, D.W.: Preparation of designed Poly(trimethylene carbonate) meniscus implants by stereolithography: challenges in stereolithography. Macromol. Biosci. 16(12), 1853–1863 (2016). https://doi.org/10.1002/mabi.201600290
Shao, G., Jain, S., Laroque, C., Lee, L.H., Lendermann, P., Rose, O.: Digital twin for smart manufacturing: the simulation aspect. In: 2019 Winter Simulation Conference (WSC), National Harbor, MD, USA, pp. 2085–2098, December 2019. https://doi.org/10.1109/WSC40007.2019.9004659
Kritzinger, W., Karner, M., Traar, G., Henjes, J., Sihn, W.: Digital twin in manufacturing: a categorical literature review and classification. IFAC-PapersOnLine 51(11), 1016–1022 (2018). https://doi.org/10.1016/j.ifacol.2018.08.474
Tao, F.: Digital Twin Driven Smart Design. Elsevier, Waltham (2020)
Pan, Y., He, H., Xu, J., Feinerman, A.: Study of separation force in constrained surface projection stereolithography. Rapid Prototyp. J. 23(2), 353–361 (2017). https://doi.org/10.1108/RPJ-12-2015-0188
Hollister, S.J.: Porous scaffold design for tissue engineering. Nat. Mater 4(7), 518–524 (2005). https://doi.org/10.1038/nmat1421
Michielsen, K., Kole, J.S.: Photonic band gaps in materials with triply periodic surfaces and related tubular structures. Phys. Rev. B 68(11), 115107 (2003). https://doi.org/10.1103/PhysRevB.68.115107
Lammel-Lindemann, J., Dourado, I.A., Shanklin, J., Rodriguez, C.A., Catalani, L.H., Dean, D.: Photocrosslinking-based 3D printing of unsaturated polyesters from isosorbide: a new material for resorbable medical devices. Bioprinting 18, e00062 (2020). https://doi.org/10.1016/j.bprint.2019.e00062
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Jumbo-Jaramillo, I., Lara-Padilla, H. (2022). Digital Model to Predict Failures of Porous Structures in DLP-Based Additive Manufacturing. In: Botto-Tobar, M., Cruz, H., DÃaz Cadena, A., Durakovic, B. (eds) Emerging Research in Intelligent Systems. CIT 2021. Lecture Notes in Networks and Systems, vol 405. Springer, Cham. https://doi.org/10.1007/978-3-030-96043-8_17
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