The effective thermal and elastic properties of FiberForm: Computation, microstructure-sensitivity analysis and epistemic uncertainty quantification

IF 3.3 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Computational Materials Science Pub Date : 2025-03-01 Epub Date: 2025-02-08 DOI:10.1016/j.commatsci.2025.113731
Donglai Liu, Khaleda A. Maya, Hailong Chen, Ayan Banerjee, Luis A. Chacon, Savio J. Poovathingal
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Abstract

In this paper, a study on the calculation, microstructure-sensitivity analysis and epistemic uncertainty quantification of the effective thermal conductivity and elasticity of Rayon FiberForm is presented. The 3D images of FiberForm were generated through X-ray Computed-Tomography (XRCT) technique. Based on the standard mechanics approach, the material properties of FiberForm were calculated by conducting numerical tests on the microstructures via finite element analysis. The microstructure sensitivity and convergence of calculated properties were systematically investigated. Additionally, the correlation between predicted properties and fiber volume fraction was examined. The ranges of calculated properties were also quantified based on the variation of fiber properties.
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FiberForm的有效热弹性性能:计算、微观结构敏感性分析和认知不确定性量化
本文对Rayon FiberForm的有效导热系数和弹性系数的计算、微观结构敏感性分析和认知不确定性量化进行了研究。通过x射线计算机断层扫描(XRCT)技术生成FiberForm的三维图像。基于标准力学方法,通过有限元分析对FiberForm的微观组织进行数值测试,计算了其材料性能。系统地研究了计算性能的微观结构灵敏度和收敛性。此外,还研究了预测性能与纤维体积分数之间的相关性。根据纤维性能的变化,对计算的性能范围进行了量化。
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来源期刊
Computational Materials Science
Computational Materials Science 工程技术-材料科学:综合
CiteScore
6.50
自引率
6.10%
发文量
665
审稿时长
26 days
期刊介绍: The goal of Computational Materials Science is to report on results that provide new or unique insights into, or significantly expand our understanding of, the properties of materials or phenomena associated with their design, synthesis, processing, characterization, and utilization. To be relevant to the journal, the results should be applied or applicable to specific material systems that are discussed within the submission.
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