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关于采用熔融沉积成型制造的生物源细胞聚合物的力学行为

On the Mechanical Behaviour of Biosourced Cellular Polymer Manufactured Using Fused Deposition Modelling.

作者信息

Guessasma Sofiane, Belhabib Sofiane, Bassir David, Nouri Hedi, Gomes Samuel

机构信息

INRAE, UR1268 Biopolymères Interactions Assemblages, F-44300 Nantes, France.

IUMR CNRS GEPEA, Université de Nantes, Oniris, CNRS, GEPEA, UMR 6144, F-44000 Nantes, France.

出版信息

Polymers (Basel). 2020 Nov 11;12(11):2651. doi: 10.3390/polym12112651.

Abstract

The aim of this study is to investigate on the compression performance of cellular Polylactic Acid (PLA) manufacturing while using Fused Deposition Modelling. Computer Aided Design (CAD) models of cellular structures are designed using the sequential addition of spherical voids with porosity content varying from 10% to 60%. The three-dimensional (3D) microstructures of cellular PLA are characterised using X-ray micro-tomography to retrieve the correlation between the process-induced defects and the cellular geometrical properties. Mechanical testing is performed under severe compression conditions allowing for the reduction in sample height up to 80%. Finite element computation that is based on real microstructures is used in order to evaluate the effect of defects on the compression performance. The results show a significant drop of the process-induced defects thanks to the use of small layer thickness. Both mechanical anisotropy and performance loss are reduced due to vanishing process-induced defects more significantly when the amount of intended porosities is large. The compression behaviour of 3D printed PLA cellular structures is then found to be only guided by the amount and distribution of the intended porosity.

摘要

本研究的目的是在使用熔融沉积成型法制造多孔聚乳酸(PLA)时,对其压缩性能进行研究。采用依次添加球形孔隙的方式设计孔隙率从10%到60%不等的多孔结构的计算机辅助设计(CAD)模型。利用X射线显微断层扫描技术对多孔PLA的三维(3D)微观结构进行表征,以获取工艺诱导缺陷与多孔几何特性之间的相关性。在严苛的压缩条件下进行力学测试,使样品高度降低达80%。基于真实微观结构的有限元计算用于评估缺陷对压缩性能的影响。结果表明,由于使用了较小的层厚,工艺诱导缺陷显著减少。当预期孔隙率较大时,由于工艺诱导缺陷的消失,机械各向异性和性能损失均更显著地降低。随后发现,3D打印PLA多孔结构的压缩行为仅受预期孔隙率的数量和分布的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5669/7697263/182131b077b7/polymers-12-02651-g001.jpg

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