Robust evaluation of flow front data for in-plane permeability characterization by radial flow experiments

IF 1.8 Q3 ENGINEERING, MANUFACTURING Advanced Manufacturing: Polymer & Composites Science Pub Date : 2018-01-02 DOI:10.1080/20550340.2018.1439688
E. Fauster, D. C. Berg, D. May, Yannick Blößl, R. Schledjewski
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引用次数: 10

Abstract

Abstract A novel approach is presented for modeling the temporally advancing fluid flow front in radial flow experiments for in-plane permeability characterization of reinforcing fabrics. The method is based on fitting an elliptic paraboloid to the flow front data collected throughout such an experiment. This “paraboloid” approach is compared to the conventional “ellipse” method and validated by means of data sets of optically tracked experiments from two different research institutions. A detailed discussion of the results reveals the benefits of the “paraboloid” method in terms of numerical efficiency as well robustness against temporal or local data variations. The “paraboloid” method is tested on temporally and spatially limited data sets from a testrig involving linear capacitive sensors. There, the method shows advantages over the conventional approach as it incorporates the entirety of available measurement data, particularly in the last stages of the experiments which are most characteristic for the material under test.
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基于径向流实验的面内渗透率表征流锋数据鲁棒性评价
摘要提出了一种新的方法来模拟径向流动实验中随时间推移的流体流动锋,以表征增强纤维的面内渗透率。该方法基于对整个实验中收集的流锋数据进行椭圆抛物面拟合。将这种“抛物面”方法与传统的“椭圆”方法进行了比较,并通过两个不同研究机构的光学跟踪实验数据集进行了验证。对结果的详细讨论揭示了“抛物面”方法在数值效率以及对时间或局部数据变化的鲁棒性方面的优点。“抛物面”方法在时间和空间有限的数据集上进行了测试,这些数据集来自一个涉及线性电容传感器的测试。在那里,该方法显示出优于传统方法的优势,因为它包含了所有可用的测量数据,特别是在实验的最后阶段,这是被测材料最具特征的。
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来源期刊
CiteScore
4.00
自引率
0.00%
发文量
11
审稿时长
16 weeks
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