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Design Parameters to Develop Porous Structures: Case Study Applied to DLP 3D Printing

Title
Design Parameters to Develop Porous Structures: Case Study Applied to DLP 3D Printing
Type
Article in International Conference Proceedings Book
Year
2024
Authors
R. Rodrigues
(Author)
Other
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P. Lopes
(Author)
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L. Oliveira
(Author)
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L. Santana
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Conference proceedings International
Pages: 319-327
32nd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023
Porto, 18 June 2023 through 22 June 2023
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Other information
Authenticus ID: P-00Y-X72
Resumo (PT):
Abstract (EN): Generative design is a collaborative design process between humans and computers that provides multiple solutions to the same problem. Lattice structures are developed using this method to reduce one property, e.g. mass, while trying to maintain another, e.g. strength. This work arises with the aim of developing lattice structures for bone implants to make them porous and promote the healing process of bone tissue. Periodic Cell type test cubes were developed with maximum pore sizes of 500 and 300 µm and wall thicknesses of 1, 0.6, 0.4 and 0.2 mm, and Stochastic Voronoi type test cubes with a wall thickness of 0.4 mm with 500, 750, 1000, 1500 and 2000 points. The cubes were printed on a Digital Light Processing Technology 3D printer, to be analysed according to printability, uncured resin removal, mass and compressive strength. The periodic test cubes didn¿t pass the printing stage as they came out deformed or pore filled. The stochastic type test cubes showed acceptable results regarding the printing and cleaning process. When comparing the results of the compression tests, it is seen that increasing the number of points, while keeping the thickness, there is an increase in the mechanical properties, which can be seen with the results of the samples of 500 points, that compared with the dense ones, present a reduction of 98% in relation to the maximum tension of compression and 99% in the compression modulus, and with the samples with 2000 points, that present a reduction of 97% and 98%, respectively. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 9
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