3D打印聚合物复合材料细胞立方结构的准静态压缩性能实验研究

IF 2.1 Q2 ENGINEERING, CIVIL
A. Praveen Kumar, Ma Quanjin
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引用次数: 1

摘要

轻质蜂窝结构由于其优异的比强度和良好的耐撞性,在冲击能量吸收应用中受到了广泛的关注。本研究工作的主要目标是利用这一优势来定制和改进耐撞性应用的蜂窝结构的结构设计和材料类型。提出了具有凹、凸、双曲线和六边形四种不同设计模式的立方体结构,并通过三维打印技术制作了立方体结构。采用聚乳酸(PLA)、丙烯腈-丁二烯-苯乙烯(ABS)、PLA混合碳纤维(PLA/CF)、聚对苯二甲酸乙二醇酯(PETG)、混合碳纤维。因此,在准静态载荷下对所制造的蜂窝立方体结构进行了压缩试验,以检查设计模式和材料类型对压缩行为和能量吸收特性的影响。结果表明,与其他三种设计图案相比,3D打印PETG/CF立方体结构的凸形设计图案表现出显著的能量吸收特性。强调了所提出的3D打印立方体蜂窝结构在替代传统的汽车和高速列车吸能结构方面具有很大的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quasi-static compressive performance of 3D printed polymer composite cellular cubic structures-An experimental study
Light weight cellular structures have gained extensive attention in the impact energy absorption applications owing to their superior specific strength and excellent crashworthiness characteristics. The main objective of the present research work is to utilize this benefit to tailor and to improve the structural design and material type of cellular structures for crashworthiness applications. Cubic structures with four different types of design patterns such as concave, convex, hyperbola, and hexagon were proposed and fabricated through three-dimensional (3D) printing technique. Four polymeric filament materials such as Poly lactic acid (PLA), Acrylonitrile butadiene styrene (ABS), PLA mixed carbon fiber (PLA/CF), and Polyethylene terephthalate glycol (PETG), mixed carbon fiber (PETG/CF) were utilized. Accordingly, the compression tests were performed on the fabricated cellular cubic structures under quasi-static loading to examine the effect of design pattern, and material types on the compressive behavior and energy absorbing characteristics. The results revealed that the convex design pattern of 3D printed PETG/CF cubic structure showed the significant energy absorbing characteristics compared to the other three design patterns. It is emphasized that the proposed 3D printed cubic cellular structures have great prospective to substitute the traditional energy absorbing structures in automotive vehicles and high speed trains.
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来源期刊
CiteScore
4.30
自引率
25.00%
发文量
48
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