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Simulation-based Control of the Sizing Rate of Resin Sized Paper

机译:基于仿真的树脂胶浆上浆率控制

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Because of the complex interactions involved in resin sizing, there are still no mathematical algorithms available to adequately describe the process, even though its basic mechanisms are fully understood. Pa-permakers continue to rely on their vast experience or trial and error procedures to control one of the papermaking operations that determines many important product characteristics. Carried out jointly by PTS, Drewsen Papier and other partners, the DOTS research project funded by the European Commission has led to a major breakthrough in this area. The main tasks of the project were the acquisition of data forthe development of a softsensor, design and construction of the sensor, and its practical application for resin sizing control. An initial brainstorming was aimed at identifying the parameters governing resin sizing. Next, these parameters were measured within the framework of comprehensive process analyses. The information obtained-i.e. stock and mass flow data of the PM as well as the dynamic process data required for modelling and sensor design - was processed via a DDE/OPC interface for further evaluation, and verified through comprehensive mill trials. To identify the key influences on sizing results, the data was analysed using several different correlation methods. The parameters determined were then combined with the trial results to derive a closed process model - which turned out to be the most challenging task of the project The last step was the validation of the model. The authors describe the principal findings from the PM trials, present and evaluate the model derived, and venture an outlook for the future availability and practical applicability of online control parameters for resin sizing.
机译:由于树脂上浆过程涉及复杂的相互作用,因此即使充分理解了其基本机理,仍然没有可用的数学算法来充分描述该过程。造纸商继续依靠其丰富的经验或反复试验的程序来控制决定许多重要产品特性的造纸业务之一。由PTS,Drewsen Papier和其他合作伙伴共同实施的DOTS研究项目由欧盟委员会资助,在该领域取得了重大突破。该项目的主要任务是为软传感器的开发,传感器的设计和构造及其在树脂上浆控制中的实际应用获取数据。最初的头脑风暴旨在确定控制树脂施胶的参数。接下来,在综合过程分析的框架内对这些参数进行了测量。获得的信息-即通过DDE / OPC接口处理PM的库存和质量流量数据以及建模和传感器设计所需的动态过程数据,以进行进一步评估,并通过全面的工厂试验进行验证。为了确定对尺寸调整结果的关键影响,使用几种不同的相关方法对数据进行了分析。然后将确定的参数与试验结果相结合,以得出一个封闭的过程模型-事实证明这是该项目最具挑战性的任务。最后一步是模型的验证。作者描述了PM试验的主要发现,介绍并评估了所推导的模型,并对树脂上浆在线控制参数的未来可用性和实际适用性提出了展望。

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