Predictive quality control of hybrid metal-CFRP components using information fusion

Predictive quality control of hybrid metal-CFRP components using information fusion
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DOI:
10.1007/s11740-018-0816-1
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发表时间:
2018-04-01
影响因子:
1.7
通讯作者:
Stommel, Markus
Stommel, Markus
中科院分区:
其他
文献类型:
--
作者:
Berger, Dietrich;Zaiss, Marielouise;Stommel, Markus

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本文提出了一种结合无损检测和有限元模拟结果确定金属-碳纤维增强塑料复合材料构件耐久性的方法。金属-碳纤维增强塑料复合材料构件的优势在于利用了材料的特性。具有较高比刚度和强度的CFRP部件与金属连接点相结合,使已建立的金属部件连接工艺适用于这些轻量化部件。为了进一步推动这些混合动力车在工业中的应用,有必要通过100%的质量控制来保证高水平的组件可靠性,以避免与生产相关的缺陷。然而,这些缺陷,如分层或纤维失向,在形状、大小和位置上各不相同,并对零件的性能和可靠性产生不同的影响。因此,提出的方法包括应用无损检测方法,作为在线质量控制措施,以确定被检测部件的缺陷特征。由于被测部件的新颖性,有必要在测试过程中评估检测到的缺陷的个别临界性以及它们如何影响部件性能。因此,所获得的无损检测数据用于有限元模拟,将缺陷特征添加到部件模型中,并评估其对部件可靠性的影响。将无损检测与仿真相结合的附加信息的生成称为数据融合。为了评估该方法的有效性,将确定的零件性能与试验力学试验进行了比较。
The paper presents an approach to determine the durability of hybrid metal-CFRP components combining the results of non-destructive testing (ndt) and finite element simulation The advantage of hybrid metal-CFRP components lies in the use of the properties of the materials used. CFRP parts with higher specific stiffness and strength are combined with metallic joining points, so that established joining processes for metal components can be applied to these lightweight components. In order to further promote the use of these hybrids in industry, it is necessary to guarantee a high level of component reliability through 100% quality control in order to avoid production-related defects. These defects such as delamination or fibre disorientation however vary in shape, size and position and lead to different effects on the part performance and reliability. Therefore the presented approach includes the application of non-destructive testing methods that are applied as in-line quality control measures in order to determine defect characteristics of the inspected parts. Due to the novelty of the component under test it is necessary to evaluate the individual criticality of detected defects and how they affect part performance during the testing procedure. Therefore the acquired ndt-data is used in finite element simulations where defect characteristics are added to the component model and whose effects on part reliability are evaluated. The generation of additional information combining non-destructive testing and simulation is referred to as data fusion. In order to evaluate the validity of the presented approach the determined part performances are compared to experimental mechanic tests.