Mirschel Gabriele, Daikos Olesya, Scherzer Tom, Steckert Carsten
Leibniz Institute of Surface Modification (IOM), Chemical Department, Permoserstr. 15, D-04318 Leipzig, Germany.
Leibniz Institute of Surface Modification (IOM), Chemical Department, Permoserstr. 15, D-04318 Leipzig, Germany.
Anal Chim Acta. 2016 Aug 17;932:69-79. doi: 10.1016/j.aca.2016.05.015. Epub 2016 May 20.
This paper demonstrates for the first time that near-infrared (NIR) chemical imaging can be used for in-line analysis of textile lamination processes. In particular, it was applied for the quantitative determination of the applied coating weight and for monitoring of the spatial distribution of hot melt adhesive layers using chemometric approaches for spectra evaluation. Layers with coating weights between about 25 and 130 g m(-2) were used for the lamination of polyester fabrics and nonwovens as well as for polyurethane foam. It was shown that quantitative data with adequate precision can be actually obtained for layers applied to materials with significantly heterogeneous surface structure such as foam or for hidden layers inside fabric laminates. Even the coating weight and the homogeneity of adhesive layers in composites consisting of black textiles only could be quantitatively analyzed. The prediction errors (RMSEP) determined in an external validation of each calibration model were found to range from about 2 g m(-2) to 6 g m(-2) depending on the specific system under investigation. All calibration models were applied for chemical imaging in order to prove their performance for monitoring the thickness and the homogeneity of adhesive layers in the various textile systems. Moreover, they were used for the detection of irregularities and coating defects. Investigations were carried out with a large hyperspectral camera mounted above a conveyor. Therefore, this method allows large-area monitoring of the properties of laminar materials. Consequently, it is potentially suited for process and quality control during the lamination of fabrics, foams and other materials in field-scale.
本文首次证明近红外（NIR）化学成像可用于纺织层压工艺的在线分析。特别是，它被应用于定量测定施加的涂层重量，并使用化学计量学方法评估光谱来监测热熔胶层的空间分布。涂层重量在约25至130 g m⁻²之间的层被用于聚酯织物、非织造布以及聚氨酯泡沫的层压。结果表明，对于应用于具有显著异质表面结构的材料（如泡沫）的层或织物层压板内部的隐藏层，实际上可以获得具有足够精度的定量数据。即使是仅由黑色纺织品组成的复合材料中的涂层重量和粘合剂层的均匀性也可以进行定量分析。根据所研究的特定系统，在每个校准模型的外部验证中确定的预测误差（RMSEP）范围约为2 g m⁻²至6 g m⁻²。所有校准模型都用于化学成像，以证明它们在监测各种纺织系统中粘合剂层的厚度和均匀性方面的性能。此外，它们还用于检测不规则性和涂层缺陷。使用安装在传送带上方的大型高光谱相机进行了研究。因此，这种方法允许对层状材料的性能进行大面积监测。因此，它有可能适用于织物、泡沫和其他材料在现场规模层压过程中的过程和质量控制。
