Finite element analysis of thermoplastic polymer extrusion 3D printed material for mechanical property prediction AITranslate
Abstract AITranslate
A space frame lattice and shell finite element model was created to predict the linearly elastic response of test coupons made with a modified polyetherimide (PEI) material. This approach was employed because it provides an efficient procedure to design and optimize 3D printed parts. The modeled coupons were 3D printed by extrusion of molten thermoplastic polymer. The finite element model was verified by comparing the predicted values of elastic modulus, shear modulus, and Poisson’s ratio in two material directions with the corresponding values obtained from quasi-static mechanical experiments. The values obtained for the moduli and the Poisson’s ratios from the finite element model matched closely with those obtained from the experiments.
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DOI:https://doi.org/10.1016/j.addma.2018.05.009
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A space frame lattice and shell finite element model was created to predict the linearly elastic response of test coupons made with a modified polyetherimide (PEI) material. This approach was employed because it provides an efficient procedure to design and optimize 3D printed parts. The modeled coupons were 3D printed by extrusion of molten thermoplastic polymer. The finite element model was verified by comparing the predicted values of elastic modulus, shear modulus, and Poisson’s ratio in two material directions with the corresponding values obtained from quasi-static mechanical experiments. The values obtained for the moduli and the Poisson’s ratios from the finite element model matched closely with those obtained from the experiments.
quote
| GB/T 7714-2015 | [1] Sunil Bhandari, Roberto LopezAnido. Additive Manufacturing, 2018(22). DOI:10.1016/j.addma.2018.05.009. |
| MLA | [1] Sunil Bhandari, and Roberto LopezAnido. Additive Manufacturing, no. 22, 2018, https://doi.org/10.1016/j.addma.2018.05.009. |
| APA | [1] Sunil Bhandari, & Roberto LopezAnido. (2018). Additive Manufacturing(22). https://doi.org/10.1016/j.addma.2018.05.009 |
| IEEE | [1] Sunil Bhandari and Roberto LopezAnido, Additive Manufacturing, no. 22, 2018, doi: 10.1016/j.addma.2018.05.009. |
