Vespalec Arnošt, Podroužek Jan, Koutný Daniel
Faculty of Mechanical Engineering, Institute of Machine and Industrial Design, Brno University of Technology, Technická 2896/2, 616 69 Brno, Czech Republic.
Faculty of Civil Engineering, Institute of Computer Aided Engineering and Computer Science, Brno University of Technology, Veveří 331/95, 602 00 Brno, Czech Republic.
Materials (Basel). 2023 Apr 27;16(9):3418. doi: 10.3390/ma16093418.
This paper is primarily concerned with determining and assessing the properties of a cement-based composite material containing large particles of aggregate in digital manufacturing. The motivation is that mixtures with larger aggregate sizes offer benefits such as increased resistance to cracking, savings in other material components (such as Portland cement), and ultimately cost savings. Consequently, in the context of 3D Construction/Concrete Print technology (3DCP), these materials are environmentally friendly, unlike the fine-grained mixtures previously utilized. Prior to printing, these limits must be established within the virtual environment's process parameters in order to reduce the amount of waste produced. This study extends the existing research in the field of large-scale 3DCP by employing coarse aggregate (crushed coarse river stone) with a maximum particle size of 8 mm. The research focuses on inverse material characterization, with the primary goal of determining the optimal combination of three monitored process parameters-print speed, extrusion height, and extrusion width-that will maximize buildability. Design Of Experiment was used to cover all possible variations and reduce the number of required simulations. In particular, the Box-Behnken method was used for three factors and a central point. As a result, thirteen combinations of process parameters covering the area of interest were determined. Thirteen numerical simulations were conducted using the Abaqus software, and the outcomes were discussed.
本文主要关注在数字制造中确定和评估一种含有大颗粒骨料的水泥基复合材料的性能。其动机在于,具有较大骨料尺寸的混合物具有诸多益处,例如增强抗裂性、节省其他材料成分(如波特兰水泥),并最终实现成本节约。因此,在3D建筑/混凝土打印技术(3DCP)的背景下,与先前使用的细颗粒混合物不同,这些材料对环境友好。在打印之前,必须在虚拟环境的工艺参数中设定这些限制,以减少产生的废料量。本研究通过采用最大粒径为8毫米的粗骨料(破碎的粗河石)扩展了大规模3DCP领域的现有研究。该研究聚焦于逆向材料表征,主要目标是确定三个监测工艺参数——打印速度、挤出高度和挤出宽度——的最佳组合,以实现最大可建造性。实验设计用于涵盖所有可能的变化并减少所需模拟的数量。具体而言,对于三个因素和一个中心点采用了Box-Behnken方法。结果,确定了涵盖感兴趣区域的13种工艺参数组合。使用Abaqus软件进行了13次数值模拟,并对结果进行了讨论。