Catapano Ilaria, Zappia Sonia, Iaccarino Paolo, Scapaticci Rosa, Di Maio Ernesto, Crocco Lorenzo
Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy, 80124, Naples, Italy.
Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, University of Naples Federico II, 80125, Naples, Italy.
Sci Rep. 2024 Jul 6;14(1):15560. doi: 10.1038/s41598-024-64856-1.
Plastic foams, near-ubiquitous in everyday life and industry, show properties that depend primarily on density. Density measurement, although straightforward in principle, is not always easy. As such, while several methods are available, plastic foam industry is not yet supported with a standard technique that effectively enables to control density maps. To overcome this issue, this paper proposes Terahertz (THz) time-of-flight imaging using normal reflection measurements as a fast, relatively cheap, contactless, non-destructive and non-dangerous way to map plastic foam density, based on the expected relationship between density and refractive index. The approach is demonstrated in the case of polypropylene foams. First, the relationship between the estimated effective refractive index and the polypropylene foam density is derived by characterizing a set of carefully crafted samples having uniform density in the range 70-900 kg/m. The obtained calibration curve subtends a linear relationship between the density and the refractive index in the range of interest. This relationship is validated against a set of test samples, whose estimated average densities are consistent with the nominal ones, with an absolute error lower than 10 kg/m and a percentage error on the estimate of 5%. Exploiting the calibration curve, it is possible to build quantitative images depicting the spatial distribution of the sample density. THz images are able to reveal the non-uniform density distribution of some samples, which cannot be appreciated from visual inspection. Finally, the complex spatial density pattern of a graded foam sample is characterized and quantitatively compared with the density map obtained via X-ray microscopy. The comparison confirms that the proposed THz approach successfully determines the density pattern with an accuracy and a spatial scale variability compliant with those commonly required for plastic foam density estimate.
塑料泡沫在日常生活和工业中几乎无处不在,其性能主要取决于密度。密度测量虽然原理简单,但并不总是容易。因此,虽然有几种方法可用,但塑料泡沫行业尚未得到一种能够有效控制密度图的标准技术的支持。为了克服这个问题,本文提出了基于密度与折射率之间的预期关系,使用正反射测量的太赫兹(THz)飞行时间成像作为一种快速、相对便宜、非接触、无损且无危险的绘制塑料泡沫密度图的方法。该方法在聚丙烯泡沫的情况下得到了验证。首先,通过对一组精心制作的、密度在70 - 900 kg/m范围内均匀的样品进行表征,得出估计的有效折射率与聚丙烯泡沫密度之间的关系。所获得的校准曲线在感兴趣的范围内呈现出密度与折射率之间的线性关系。针对一组测试样品验证了这种关系,其估计的平均密度与标称密度一致,绝对误差低于10 kg/m,估计的百分比误差为5%。利用校准曲线,可以构建描绘样品密度空间分布的定量图像。太赫兹图像能够揭示一些样品的非均匀密度分布,这是目视检查无法察觉的。最后,对一个渐变泡沫样品的复杂空间密度模式进行了表征,并与通过X射线显微镜获得的密度图进行了定量比较。比较结果证实,所提出的太赫兹方法成功地确定了密度模式,其精度和空间尺度变化符合塑料泡沫密度估计通常要求的标准。