研究用连续玻璃纤维增强的 3D 打印缟玛瑙部件:重点关注机械表征、分析预测和数值模拟

IF 2.3 3区 材料科学 Q3 MATERIALS SCIENCE, COMPOSITES Journal of Composite Materials Pub Date : 2024-04-18 DOI:10.1177/00219983241247913
Daouda Nikiema, Pascale Balland, Alain Sergent
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引用次数: 0

摘要

连续纤维复合材料的三维打印技术目前与工程师和研究人员息息相关。本研究旨在表征和预测使用三维打印技术打印的缟玛瑙/玻璃纤维试样的机械性能。研究评估了玻璃纤维打印参数对打印部件机械性能的影响,并提出了预测机械性能的分析和数值方法。对 3D 打印的连续玻璃纤维进行了物理化学分析。研究还调查了纤维打印参数对复合材料部件的影响。结果表明,3D 打印的玻璃纤维由尼龙、连续玻璃纤维和空隙(孔隙率)组成,空隙率分别为 58%至 63%、31%至 38%、5%至 8%。机械特性分析表明,与交替印制玻璃纤维层和缟玛瑙层相比,成块印制纤维层可获得更优越的机械特性。此外,如果 "开始旋转 "参数调整不当,同心模式的纤维打印可能会面临挑战。当纤维在其有效长度内开始打印时,会出现试样过早断裂的情况,导致断裂时的变形量减少约 34%,具体取决于起始位置。所提出的分析和数值预测方法的预测误差分别约为 7% 至 12% 和 5% 至 7%。工程师可以在三维打印复合材料部件的尺寸确定阶段使用这些预测方法。
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Study of 3D-printed onyx parts reinforced with continuous glass fibers: Focus on mechanical characterization, analytical prediction and numerical simulation
The 3D printing of continuous-fiber composites is currently relevant to engineers and researchers. This study aims to characterize and predict the mechanical properties of Onyx/glass fiber specimens printed using 3D printing. The work assesses the impact of glass fiber printing parameters on the mechanical behavior of printed parts and proposes analytical and numerical methods to predict mechanical properties. A physicochemical analysis was conducted on 3D printed continuous glass fibers. The study also investigated the impact of fiber printing parameters on composite parts. The results indicate that the 3D-printed glass fibers consist of nylon, continuous glass fibers, and voids (porosity), which range from 58% to 63%, 31% to 38%, and 5% to 8%, respectively. Mechanical characterizations indicate that printing fiber layers in blocks results in superior mechanical properties compared to printing alternating layers of glass fibers and Onyx. Additionally, the concentric mode of fiber printing can be challenging if the ‘start rotation’ parameter is not adjusted correctly. Premature specimen breakage occurred when fiber printing began within their useful length, resulting in a deformation at break that was approximately 34% less, depending on the starting position. The proposed analytical and numerical prediction methods had prediction errors of approximately 7% to 12% and 5% to 7%, respectively. Engineers can use these prediction approaches during the dimensioning phase of 3D printed composite parts.
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来源期刊
Journal of Composite Materials
Journal of Composite Materials 工程技术-材料科学:复合
CiteScore
5.40
自引率
6.90%
发文量
274
审稿时长
6.8 months
期刊介绍: Consistently ranked in the top 10 of the Thomson Scientific JCR, the Journal of Composite Materials publishes peer reviewed, original research papers from internationally renowned composite materials specialists from industry, universities and research organizations, featuring new advances in materials, processing, design, analysis, testing, performance and applications. This journal is a member of the Committee on Publication Ethics (COPE).
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