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首页> 外文期刊>Progress in Organic Coatings: An International Review Journal >Cellulose nanofibils as coating material and its effects on paper properties
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Cellulose nanofibils as coating material and its effects on paper properties

机译:纤维素纳米纤维作为涂料及其对纸张性能的影响

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This study investigates the effects of cellulose nanofibril (CNF) coating on the physical, mechanical and barrier properties of paper. CNF is currently of limited use in wet-end applications because of its low retention and inefficient application within the paper fibre network, as well as its relatively high cost. Different CNF concentrations and number of coating layers were therefore evaluated to determine the most efficient conditions for CNF coating. For this purpose, handsheets were coated on one side with 1.5 wt% or 3 wt% CNF as a single or double layer. SEM micrographs of CNF-coated surfaces indicated that paper surface porosity decreased considerably with increasing CNF concentration and more coating layers. These micrographs also showed that the surface of paper coated with a double layer of 1.5 wt% CNF is more uniform and continuous compared to that of paper coated with a single layer of 3 wt% CNF. The results revealed that the air resistance, surface strength, stiffness and tensile strength were also higher when a higher CNF concentration or greater number of layers was applied, while the Cobb index and roughness were lower. Finally, it was found that a double layer of 1.5 wt% CNF resulted in better mechanical and barrier properties compared to a single layer of 3 wt% CNF, even though the total amount of applied CNF was the same. (C) 2016 Elsevier B.V. All rights reserved.
机译:这项研究调查了纤维素纳米原纤维(CNF)涂层对纸张的物理,机械和阻隔性能的影响。 CNF目前在湿端应用中的使用受到限制,因为它在纸纤维网络中的保留率低,应用效率低以及成本较高。因此,评估了不同的CNF浓度和涂层数,以确定CNF涂层的最有效条件。为此目的,在手抄纸的一侧上涂覆有1.5wt%或3wt%的CNF作为单层或双层。镀有CNF的表面的SEM显微照片表明,随着CNF浓度的增加和涂层的增加,纸张表面的孔隙率大大降低。这些显微照片还显示,与涂覆有单层3 wt%CNF的纸相比,涂覆有1.5 wt%CNF双层的纸的表面更加均匀和连续。结果表明,当CNF浓度较高或层数较多时,空气阻力,表面强度,刚度和拉伸强度也较高,而Cobb指数和粗糙度较低。最后,发现与单层的3wt%的CNF相比,双层的1.5wt%的CNF产生了更好的机械和阻挡性能,即使所施加的CNF的总量相同。 (C)2016 Elsevier B.V.保留所有权利。

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