Department of Electronic and Electrical Engineering, University of Strathclyde, Royal College Building, 204 George Street, Glasgow G1 1XW, UK.
Collins Aerospace, Prestwick, 1 Dow Avenue, Prestwick International Aerospace Park, Ayrshire KA9 2SA, UK.
Sensors (Basel). 2020 Jul 10;20(14):3865. doi: 10.3390/s20143865.
Fibre orientation within composite structures dictates the material properties of the laminate once cured. The ability to accurately and automatically assess fibre orientation of composite parts is a significant enabler in the goal to optimise the established processes within aftermarket aerospace industries. Incorrect ply lay-up results in a structure with undesirable material properties and as such, has the potential to fail under safe working loads. Since it is necessary to assure structural integrity during re-manufacture and repair assessment, the paper demonstrates a novel method of readily and non-destructively determining fibre orientation throughout multi-ply Biaxial woven composite laminates using point temperature contact sensors and data analysis techniques. Once cured, only the outermost laminates are visible to assess orientation. The inspection method is conducted visually, with reference guides to allow for rapid adoption with minimum training, as well as harnessing established temperature sensors within the Maintenance Repair and Overhaul (MRO) environment. The system is amenable to integration within existing repair/re-manufacture processes without significant impact to process flow. The method is able to identify noisy samples with an accuracy, precision and recall of 0.9, and for synthetically created samples of double the cure ply thickness, a precision of 0.75, a recall of 0.7 and an accuracy of 0.87.
纤维在复合材料结构中的取向决定了层压板在固化后的材料性能。能够准确、自动地评估复合材料部件的纤维取向是优化售后航空航天工业中既定工艺的重要手段。如果层压板铺设不正确，会导致结构具有不理想的材料性能，因此在安全工作载荷下有可能失效。由于在重新制造和维修评估期间需要保证结构完整性，因此本文展示了一种使用点温度接触传感器和数据分析技术，快速、非破坏性地确定多层层压双轴向机织复合材料层压板中纤维取向的新方法。一旦固化，只能通过评估最外层的层压板来确定纤维取向。该检测方法是通过视觉进行的，使用参考指南以允许在最少培训的情况下快速采用，并利用维护、修理和大修 (MRO) 环境中已有的温度传感器。该系统可以集成到现有的维修/再制造工艺中，而不会对工艺流程产生重大影响。该方法能够以 0.9 的准确度、精度和召回率识别噪声样本，对于两倍固化层厚度的合成样本，精度为 0.75，召回率为 0.7，准确率为 0.87。
