薄编织复合材料预浸料预成型和固结过程的三维超粘弹性耦合本构模型

IF 12.7 1区 材料科学 Q1 ENGINEERING, MULTIDISCIPLINARY
Deyong Sun , Jianchao Zou , Yifeng Xiong , Wanrui Zhang , Chongrui Tang , Weizhao Zhang
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引用次数: 0

摘要

预浸料压缩成型(PCM)是一种有效的批量生产复杂几何形状编织复合材料零件的方法。预成型过程中不均匀厚度变形与纱线角度变化、粘弹性压实模量和纱线角度变化之间的耦合效应在现有模型中经常被忽略,而这对于正确预测最终复合材料零件的质量至关重要。为了解决这些问题,研究人员开发了一个耦合的三维超粘弹性本构模型,并通过偏伸试验验证了其有效性,证实了该模型能够解释纱线角度变化引起的初始厚度变化相关的耦合效应。此外,面外压实变形试验表明,该模型能够考虑不同纱线角度下压实材料性能的变化,进一步证实了其适用性。为了进一步测试本构模型的性能,采用薄编织预浸料进行了基准单圆顶PCM实验。实验结果与模型结果的对比分析表明,PCM后模型对零件几何形状和纱线角度分布的预测精度较高。此外,该模型将厚度预测的相对误差显著降低到11.7%,而之前解耦模型的相对误差为34.2%。因此,这个新建立的模型可以有效地捕捉整个预成形和固结阶段的耦合材料响应,有助于更真实地表示PCM过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A coupled 3D hyper-viscoelastic constitutive model for thin woven composite prepregs in preforming and consolidation
The prepreg compression molding (PCM) has emerged as an effective method for mass production of woven composite parts with complex geometry. The two coupling effects between non-uniform thickness deformation and yarn angle variation, viscoelastic compaction modulus and yarn angle variation due to preforming, which are often neglected in existing models, are actually critical in correct prediction for quality of final composite parts. To address these issues, a coupled 3D hyper-viscoelastic constitutive model was developed, and its efficacy was validated through bias-extension tests, confirming its capability to account for the coupling effect related to initial thickness variations caused by yarn angle change. Additionally, out-of-plane compaction deformation tests demonstrated the model's ability to incorporate variations in compaction material properties under different yarn angles, further affirming its applicability. To further test performance of the constitutive model, benchmark single-dome PCM experiments were conducted with thin woven prepregs. Comparative analysis of experimental and modeling results revealed the superb prediction accuracy of the model for part geometry and yarn angle distribution, respectively, after PCM. Furthermore, this new model significantly decreases the relative error of thickness prediction to 11.7 % compared to that of 34.2 % of the previous decoupled model. As a result, this newly established model can effectively capture the coupled material responses throughout the preforming and consolidation stages, assisting more realistic representation of the PCM process.
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来源期刊
Composites Part B: Engineering
Composites Part B: Engineering 工程技术-材料科学:复合
CiteScore
24.40
自引率
11.50%
发文量
784
审稿时长
21 days
期刊介绍: Composites Part B: Engineering is a journal that publishes impactful research of high quality on composite materials. This research is supported by fundamental mechanics and materials science and engineering approaches. The targeted research can cover a wide range of length scales, ranging from nano to micro and meso, and even to the full product and structure level. The journal specifically focuses on engineering applications that involve high performance composites. These applications can range from low volume and high cost to high volume and low cost composite development. The main goal of the journal is to provide a platform for the prompt publication of original and high quality research. The emphasis is on design, development, modeling, validation, and manufacturing of engineering details and concepts. The journal welcomes both basic research papers and proposals for review articles. Authors are encouraged to address challenges across various application areas. These areas include, but are not limited to, aerospace, automotive, and other surface transportation. The journal also covers energy-related applications, with a focus on renewable energy. Other application areas include infrastructure, off-shore and maritime projects, health care technology, and recreational products.
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