Rivet Iván, Dialami Narges, Cervera Miguel, Chiumenti Michele, Reyes Guillermo, Pérez Marco A
International Center for Numerical Methods in Engineering (CIMNE), Campus Norte UPC, Technical University of Catalonia, 08034 Barcelona, Spain.
IQS School of Engineering, University Ramon Llull, Via Augusta 390, 08017 Barcelona, Spain.
Polymers (Basel). 2021 May 27;13(11):1766. doi: 10.3390/polym13111766.
Process parameters in Additive Manufacturing (AM) are key factors in the mechanical performance of 3D-printed parts. In order to study their effect, a three-zone model based on the printing pattern was developed. This modelization distinguished three different zones of the 3D-printed part, namely cover, contour, and inner; each zone was treated as a different material. The cover and contour zones were characterized via uniaxial tensile tests and the inner zones via computational homogenization. The model was then validated by means of bending tests and their corresponding computational simulations. To reduce the number of required characterization experiments, a relationship between the raw and 3D-printed material was established by dimensional analysis. This allowed describing the mechanical properties of the printed part with a reduced set of the most influential non-dimensional relationships. The influence on the performance of the parts of inter-layer adhesion was also addressed in this work via the characterization of samples made of Polycarbonate Acrylonitrile Butadiene Styrene (ABS/PC), a polymeric material well known for its poor adhesion strength. It was concluded that by using this approach, the number of required testing configurations could be reduced by two thirds, which implies considerable cost savings.
增材制造（AM）中的工艺参数是3D打印零件机械性能的关键因素。为了研究它们的影响，开发了一种基于打印图案的三区模型。这种建模方法区分了3D打印零件的三个不同区域，即覆盖层、轮廓和内部；每个区域都被视为不同的材料。覆盖层和轮廓区域通过单轴拉伸试验进行表征，内部区域通过计算均匀化进行表征。然后通过弯曲试验及其相应的计算模拟对模型进行验证。为了减少所需表征实验的数量，通过量纲分析建立了原材料与3D打印材料之间的关系。这使得可以用一组减少的最具影响力的无量纲关系来描述打印零件的机械性能。在这项工作中，还通过对由聚碳酸酯丙烯腈丁二烯苯乙烯（ABS/PC）制成的样品进行表征，探讨了层间附着力对零件性能的影响，ABS/PC是一种以附着力差而闻名的聚合物材料。得出的结论是，通过使用这种方法，所需测试配置的数量可以减少三分之二，这意味着可以节省大量成本。
