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New Automated Method For Macro-Contaminant Analysis: Industrial Applications

机译:自动化的大型污染物分析方法:工业应用

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In recycled paper processes, stickies are at the origin of many production disturbances. In this paper, we present how the recently developed method for macro-contaminant analysis was used with industrial samples for process analysis. The new automated stickies measurement method allows to (i) determine the 3 dimensional morphology of screened particles (without any deformation) and (ii) classify the particles as stickies among contaminants. This is achieved by a combination of laser triangulation and local near-infrared (MR) spectroscopy. Measurement of macro-contaminants in pulp samples and their classification allows concluding on their specific removal. Chemical nature and amount of the macro-contaminants coming from different raw materials were studied and were shown to be very different in two different mills. In an Asian mill, a low PSA removal in the process (46%) was found in comparison with high other stickies removal (99%). Besides, perspectives with this device are shown, with the on-going development of a new on-line sensor for macro-contaminant analysis.
机译:在再生纸工艺中,胶粘物是许多生产干扰的根源。在本文中,我们介绍了如何将最新开发的宏观污染物分析方法与工业样品一起用于过程分析。新的自动胶粘物测量方法允许(i)确定筛分颗粒的3维形态(无任何变形),以及(ii)将颗粒分类为污染物中的胶粘物。这是通过激光三角测量和局部近红外(MR)光谱学的结合来实现的。纸浆样品中大污染物的测量及其分类可以得出具体去除的结论。研究了来自不同原料的大污染物的化学性质和数量,并在两个不同的工厂中显示出很大的差异。在一家亚洲工厂中,与其他高粘性产品去除率(99%)相比,该过程中的PSA去除率低(46%)。此外,还展示了该设备的透视图,以及用于宏观污染物分析的新型在线传感器的持续开发。

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