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Study of Dry Fiberization of Waste Paper by Using Dry Milling 废纸干磨法干纤维化研究
Q3 Engineering Pub Date : 2023-10-30 DOI: 10.7584/jktappi.2023.10.55.5.43
Dong Sung Kim, Min Kyum Kim, Yong Joo Sung
This study evaluated the fiberization of waste papers by using dry mill treatment, in order to increase the usability of waste paper. The three waste papers such as old news paper (ONP), old corrugated container (OCC), and old office paper (WL, white ledger) were mechanically treated with knife mill and hammer mill. The effects of the types of milling processes on the fiberization efficiency were evaluated by measuring the fiber fractionation and by observing fibers and flakes using a microscopy. The knife mill treatment showed the effective fiberization for ONP. In case of OCC and WL samples, the hammer mill treatment showed the better performance in terms of fiber disintegration than the knife mill treatment. The hammer mill treatment resulted in the less flake and the higher in fines fraction, which leaded to changes in the CSF. There were many differences in the dry fiberization of waste papers depending on the mill treatment types, the treatment conditions and the types of waste papers.
为了提高废纸的可用性,本研究对干法处理废纸的纤维化进行了评价。旧新闻纸(ONP)、旧瓦楞纸箱(OCC)、旧办公用纸(WL、白台账)三种废纸分别采用刀磨机和锤磨机进行机械处理。通过测量纤维分馏和用显微镜观察纤维和薄片,评价了铣削工艺类型对纤维化效率的影响。刀磨处理对ONP有较好的纤维化效果。在OCC和WL样品中,锤磨处理的纤维崩解性能优于刀磨处理。锤磨处理导致的薄片较少,细粒分数较高,从而导致CSF的变化。根据不同的造纸工艺处理方式、不同的处理条件和不同的废纸种类,废纸的干化程度有很大的差异。
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引用次数: 0
Particle Size and Dispersion Properties of Cellulose Beads Fabricated via Coaxial Needle Spray Method 同轴针喷法制备纤维素微球的粒径和分散性能
Q3 Engineering Pub Date : 2023-10-30 DOI: 10.7584/jktappi.2023.10.55.5.5
Younglae Kim, Feng Xu, Byoung-Uk Cho
Microbeads with a diameter of 500 μm or smaller are used in the production of cosmetic products, such as foam cleansers. To replace the usage of plastic microbeads in cosmetics with ecofriendly alternatives such as cellulose, development of technologies for producing cellulose beads with a diameter of ≤500 μm, particularly reducing their sizes to <100 μm, is crucial. Herein, cellulose beads with a particle size of 30–250 μm were fabricated via spray method using a coaxial needle and tetraethylammonium hydroxide/urea/cellulose solution. Reduced inner diameter of the needle and increased air pressure decreased the cellulose bead size. Furthermore, the results show that the dispersibility of cellulose beads can be improved by dispersing them in a solvent with low surface tension and employing a gradual drying method, such as air drying.
直径小于或等于500 μm的微珠主要用于泡沫洗面奶等化妆品的生产。为了用纤维素等环保替代品取代塑料微珠在化妆品中的使用,开发生产直径≤500 μm的纤维素微珠的技术,特别是将其尺寸减小到<100 μm,至关重要。采用同轴针和四乙基氢氧化铵/尿素/纤维素溶液喷雾法制备了粒径为30 ~ 250 μm的纤维素微球。针管内径的减小和空气压力的增大使纤维素颗粒的大小减小。此外,研究结果表明,将纤维素珠分散在低表面张力的溶剂中,并采用渐进干燥的方法,如空气干燥,可以改善纤维素珠的分散性。
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引用次数: 0
A Study on the Liquid-solid Separation Properties of Citrus Pomace 柑桔渣液固分离性能的研究
Q3 Engineering Pub Date : 2023-10-30 DOI: 10.7584/jktappi.2023.10.55.5.52
So Hyun Kim, Myung Suk Shin, Joung Eun Kim, Soon Hwa Kwon, Yong Joo Sung
The high water content of citrus pomace and the high contents of fine particles and soluble materials result in the limited usability of the citrus pomace such as the low-value feed for cow. In order to use citrus pomace as a valuable organic material for various industrial applications, the proper liquid-solid separation process is necessarily required. In this study, the efficient solid-liquid separation methods to solve this problem were investigated. The compression press device and the centrifugal device showed lower separation efficiency than that of the screw press device. The low separation yield of the screw press device was increased by the addition of biomass particles as bulking agents. Fibrous biomass bulking agents made with BKP, ONP, and OCC resulted in the higher efficiency of the solid-liquid separation and lower concentration of the liquid extract. Some flocculants were applied to increase the separation efficiency of the fine solid particles from the liquid extract. The addition of cationic PAM resulted in the coagulation of fine particles and the effective removal of fines in the liquid extract.
柑桔渣含水量高、细颗粒和可溶性物质含量高,限制了柑桔渣作为低价值牛饲料的可用性。为了将柑橘渣作为一种有价值的有机材料用于各种工业应用,必须采用适当的液固分离工艺。本研究探讨了解决这一问题的高效固液分离方法。压缩压榨装置和离心压榨装置的分离效率低于螺旋压榨装置。通过添加生物质颗粒作为填充剂,改善了螺杆压榨装置分离率低的问题。BKP、ONP和OCC制备的纤维状生物质膨胀剂固液分离效率较高,液体提取物浓度较低。采用不同的絮凝剂,提高了液体萃取液中固体细颗粒的分离效率。阳离子PAM的加入可使细颗粒絮凝,有效去除液体萃取液中的细颗粒。
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引用次数: 0
Analysis of Formation and Characterization of Electrospun Fibers of Carboxymethyl Cellulose/Poly (vinyl alcohol) Polymer Solution 羧甲基纤维素/聚乙烯醇溶液静电纺丝纤维的形成及性能分析
Q3 Engineering Pub Date : 2023-10-30 DOI: 10.7584/jktappi.2023.10.55.5.75
Do-Young Lee, Na-Young Kang, Ji-Eun Cha, Hyoung-Jin Kim
Electrospinning is widely recognized as an efficient method for producing continuous nanoscale fibers by overcoming the surface tension of polymer solutions through repulsive forces. Cellulose, a naturally derived, non-toxic, and biodegradable material, has gained attention as an environmentally friendly alternative to petroleum-based materials. The characteristics of the electrospinning solution, such as concentration, viscosity, and surface tension, significantly influence the formation and morphology of electrospun nanofibers (ECNFs). Therefore, controlling the properties of the solution is crucial for producing the desired fiber morphology. In this study, we prepared electrospinning solutions using a mixture of carboxymethyl cellulose (CMC), a water-soluble cellulose derivative, and polyvinyl alcohol (PVA) at various concentrations. The solutions were characterized by measuring their shear viscosity, surface tension, and conductivity. With increasing polymer concentration, viscosity, surface tension, and conductivity showed an upward trend. Additionally, the viscosity exhibited a decreasing trend with increasing spindle speed, rpm. The results were correlated with the diameter of the resulting ECNFs.
静电纺丝是一种利用排斥力克服聚合物溶液表面张力而制备连续纳米级纤维的有效方法。纤维素是一种天然衍生的、无毒的、可生物降解的材料,作为石油基材料的环保替代品而受到关注。静电纺丝溶液的浓度、粘度和表面张力等特性对静电纺丝纳米纤维的形成和形态有显著影响。因此,控制溶液的性质对于产生所需的纤维形态至关重要。在这项研究中,我们用羧甲基纤维素(CMC),水溶性纤维素衍生物和聚乙烯醇(PVA)在不同浓度的混合物制备静电纺丝溶液。通过测量溶液的剪切粘度、表面张力和电导率对其进行了表征。随着聚合物浓度的增加,黏度、表面张力、电导率均呈上升趋势。黏度随主轴转速(rpm)的增加呈下降趋势。结果与所产生的ecnf的直径相关。
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引用次数: 0
Predictive Modeling for Degree of Substitution of Cellulose Acetate using Infrared Spectroscopy and Machine Learning 基于红外光谱和机器学习的醋酸纤维素取代度预测建模
Q3 Engineering Pub Date : 2023-10-30 DOI: 10.7584/jktappi.2023.10.55.5.83
Yong Ju Lee, Ji Eun Lee, Jae Gyoung Gwon, Tai Ju Lee, Hyoung Jin Kim
The objective of this study is to apply FTIR and machine learning models for the quantitative analysis of the degree of substitution of cellulose acetate. The models used for the degree of substitution analysis include PCA (principal component analysis), PLS-DA (partial least squares discriminant analysis), SVM (support vector machine), and KNN (k-nearest neighbor). The critical findings of this study indicated that it is possible to analyze the degree of substitution for cellulose acetate with a degree of substitution of 2.0 or less using IR spectrum data derived from acetylation, estimated through PCA. The decrease in explanatory power for degrees of substitution higher than 2.0 can be attributed to the chemical reaction rate. However, by applying SVM and utilizing the kernel trick to project the data into a high-dimensional feature space and perform non-linear classification, it was possible to create a degree of substitution discrimination model with excellent performance, regardless of the degree of substitution. As a result, the model for analyzing the degree of substitution of polymer monomers based on machine learning and IR spectrum data was proposed. It is believed that this model can efficiently replace existing analytical methods.
本研究的目的是应用FTIR和机器学习模型对醋酸纤维素的取代度进行定量分析。用于替代度分析的模型包括PCA(主成分分析)、PLS-DA(偏最小二乘判别分析)、SVM(支持向量机)和KNN (k近邻)。本研究的关键发现表明,可以使用通过PCA估计的乙酰化所得的红外光谱数据,以2.0或更低的取代度来分析醋酸纤维素的取代度。当取代度大于2.0时,解释能力下降可归因于化学反应速率。然而,通过应用支持向量机并利用核技巧将数据投影到高维特征空间中并进行非线性分类,就有可能创建一个无论替代程度如何都具有优异性能的替代程度判别模型。为此,提出了基于机器学习和红外光谱数据的聚合物单体取代度分析模型。相信该模型可以有效地取代现有的分析方法。
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引用次数: 0
Spectral Preprocessing and Machine Learning Modeling for Discriminating Manufacturing Origins of Mulberry Bast Fiber 光谱预处理与机器学习建模在桑皮纤维产地鉴别中的应用
Q3 Engineering Pub Date : 2023-10-30 DOI: 10.7584/jktappi.2023.10.55.5.61
Yong Ju Lee, Soon Wan Kweon, Jae Hyeop Kim, Ji Eun Cha, Kwang-Ho Kang, Hyoung Jin Kim
The objective of this study was exploring the impact of spectral data preprocessing techniques on the performance of machine learning models for classifying the origin of mulberry bast fibers. The findings indicated that a selective spectral region (1800-1200 cm-1) significantly improves classification model performance. Among the classifiers tested, Partial Least Squares Discriminant Analysis (PLS-DA) and Support Vector Machines (SVM) demonstrated the highest accuracy. Additionally, A spectral preprocessing with the Norris-Williams algorithm effectively improved model performance within the same classifier for this dataset. These results suggest that applying machine learning modeling with spectral preprocessing can enable the origin classification of mulberry bast fibers and provide a chemical basis for classification rules beyond simple categorization.
本研究的目的是探索光谱数据预处理技术对桑树韧皮纤维来源分类机器学习模型性能的影响。研究结果表明,选择性光谱区域(1800-1200 cm-1)显著提高了分类模型的性能。在测试的分类器中,偏最小二乘判别分析(PLS-DA)和支持向量机(SVM)显示出最高的准确率。此外,使用Norris-Williams算法进行光谱预处理,有效地提高了该数据集在同一分类器内的模型性能。这些结果表明,将机器学习建模与光谱预处理相结合,可以实现桑树韧皮纤维的来源分类,并为分类规则提供超越简单分类的化学基础。
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引用次数: 0
Development of Domestic Taylor-flow Nanogrinder for Manufacturing Cellulose Nanofiber III -Evaluation of Physical Properties of Cellulose Nanofibers Manufactured with Scale-up Taylor-flow Nanogrinder- 国产泰勒流纳米磨机制备纤维素纳米纤维的研制ⅲ——放大泰勒流纳米磨机制备的纤维素纳米纤维的物理性能评价
Q3 Engineering Pub Date : 2023-10-30 DOI: 10.7584/jktappi.2023.10.55.5.96
Hae Min Jo, Soo Hyun Lee, Ji Young Lee, Ro Seong Park
In this study, we attempted to manufacture a scale-up Taylor-flow nanogrinder by compensating the shortcomings of a pilot scale Taylor-flow nanogrinder derived from previous studies. Two types of cellulose nanofibers (CNFs) were prepared depending on the pretreatment using a scale-up Taylor-flow nanogrinder and their characteristics were measured to evaluate the grinding efficiency. The capacity of the grinder cylinder and the mixer increased respectively while increasing the capacity of a scale-up Taylor-flow nanogrinder. The size of the diamond particles electrodeposited on the surface of the stator and rotor, which were the components of the grinder cylinder, and the gap between the stator and rotor were reduced to improve the grinding efficiency. In addition, a multi-stage centrifugal pump was installed to induce a uniform flow of CNF slurry according to the increased grinder capacity. When RE-CNF (refining CNF) was manufactured from refined hardwood bleached kraft pulp (HwBKP) using a scale-up Taylor flow nanogrinder, the average particle size and fiber width decreased and the low shear viscosity decreased as the grinding time increased due to HwBKP fibrillation. However, considering the fiber width's average value and standard deviation, it was concluded that the refining pretreatment was not adequate for this facility. When EN-CNF (enzyme-pretreated CNF) was manufactured from enzyme-pretreated HwBKP using a scale-up Taylor flow nanogrinder, the particle size and fiber width decreased linearly as the enzyme dosage and the grinding time increased simultaneously. In particular, when the grinding was carried out for 5-6 h, the fiber width of EN-CNF decreased to 50 nm or less, and the standard deviation decreased. This meant that enzyme pretreatment was efficient for the manufacture of CNF using a scale-up Taylor-flow nanogrinder. Nevertheless, the optimum enzyme dosage and the grinding time should be confirmed carefully to acquire the desired qualities of EN-CNF.
在这项研究中,我们试图通过弥补从以前的研究中得出的中试规模泰勒流纳米研磨机的缺点来制造一个放大的泰勒流纳米研磨机。采用放大泰勒流纳米研磨机对两种类型的纤维素纳米纤维进行预处理,并对两种类型的纤维素纳米纤维的特性进行了测试,以评价其研磨效率。放大型泰勒流纳米磨机容量增大,磨筒容量增大,混合器容量增大。通过减小定子和转子表面沉积金刚石颗粒的尺寸,减小定子和转子之间的间隙,提高了磨削效率。此外,安装了多级离心泵,以诱导CNF浆料均匀流动,根据增加的研磨机容量。采用放大泰勒流纳米研磨机以精制硬木漂白硫酸盐浆(HwBKP)为原料制备RE-CNF(精炼CNF)时,由于HwBKP颤动,随着研磨时间的增加,平均粒径和纤维宽度减小,低剪切粘度降低。但是,考虑到纤维宽度的平均值和标准差,认为该设备的精制预处理是不够的。以酶预处理的HwBKP为原料,采用放大泰勒流纳米研磨机制备EN-CNF(酶预处理CNF)时,随着酶用量的增加和研磨时间的增加,颗粒尺寸和纤维宽度呈线性减小。特别是,当进行5-6 h的研磨时,EN-CNF的纤维宽度减小到50 nm以下,标准差减小。这意味着酶预处理对于使用按比例放大的泰勒流纳米研磨机制造CNF是有效的。然而,要获得理想的EN-CNF质量,需要仔细确定最佳酶用量和研磨时间。
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引用次数: 0
Evaluation of Physical Properties and Drying Efficiency of the Pulps Used in Thin Paper Production 薄纸生产用纸浆的物理性能和干燥效率评价
Q3 Engineering Pub Date : 2023-10-30 DOI: 10.7584/jktappi.2023.10.55.5.24
Soo Hyun Lee, Hae Min Jo, Ji Young Lee
In this study, we evaluated the physical properties and drying efficiency of the virgin pulps and recycled fibers, which were the main raw materials for the manufacture of thin paper grades. We selected hardwood bleached kraft pulp (HwBKP), softwood bleached kraft pulp (SwBKP), recycled liquid crystal display interleaf (LCD interleaf), and recycled steel interleaf (steel interleaf) according to the annual usage, and determined the fiber characteristics and drying efficiency after the stock preparation of the pulps using a laboratory disintegrator or a valley beater. And then the handsheets were made of those pulps to determine their strengths and optical properties. The LCD interleaf showed higher freeness and lower water retention value (WRV) than the steel interleaf because the fibers from the LCD interleaf were longer, wider, and less fibrillated than those from steel interleaf. The fiber length and fines content of SwBKP were higher than those of HwBKP at the same freeness after beating, which was consistent with fiber image observation. The drying efficiency of LCD interleaf was higher than steel interleaf, but the handsheets made of steel interleaf showed higher tensile strength, and lower opacity and light scattering coefficient than those made of LCD interleaf. Considering the lower freeness and higher WRV of steel interleaf, it was thought that the fibers from steel interleaf were more fibrillated than those from LCD interleaf. The drying efficiency was higher for HwBKP than for SwBKP. The handsheets made from SwBKP exhibited higher tensile strength and lower opacity and light scattering coefficient than those made from HwBKP. Therefore, we concluded that if LCD interleaf and HwBKP with excellent drying efficiency are used or steel interleaf and SwBKP with high strength are less refined and used for manufacturing thin papers, drying energy can be reduced effectively in a papermaking process.
在这项研究中,我们评估了原始纸浆和再生纤维的物理性能和干燥效率,这是制造薄纸等级的主要原料。我们根据年用量选择了硬木漂白硫酸盐浆(HwBKP)、软木漂白硫酸盐浆(SwBKP)、再生液晶显示夹层(LCD interleaf)和再生钢夹层(steel interleaf),并利用实验室粉碎机或谷式打浆机对纸浆进行原料制备后,测定了纤维特性和干燥效率。然后用这些纸浆制作手纸来确定它们的强度和光学特性。由于液晶交织纤维比钢交织纤维长、宽、纤化程度低,液晶交织纤维比钢交织纤维具有更高的自由度和更低的保水值。在相同游离度下,SwBKP的纤维长度和细粒含量均高于HwBKP,这与纤维图像观察结果一致。LCD交织片的干燥效率高于钢交织片,但与LCD交织片相比,钢交织片的抗拉强度更高,不透明度和光散射系数更低。考虑到钢交织纤维的自由度较低,WRV较高,认为钢交织纤维的纤化程度高于LCD交织纤维。HwBKP的干燥效率高于SwBKP。与HwBKP相比,SwBKP制备的手纸具有更高的抗拉强度,更低的不透明度和光散射系数。因此,我们得出结论,如果使用干燥效率优异的LCD interleaf和HwBKP,或者使用较少精炼的钢interleaf和高强度的SwBKP来制造薄纸,可以有效地降低造纸过程中的干燥能量。
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引用次数: 0
Effects of Application of Wood By-products to Hot Pressed Pulp Mold 木材副产品在热压纸浆模具中的应用效果
Q3 Engineering Pub Date : 2023-10-30 DOI: 10.7584/jktappi.2023.10.55.5.34
Ji Yong Lee, Yu-jin Lee, Hyung-Jun So, Yoon-No Lee, Yong Joo Sung
The hot pressed pulp mold is one of the promising packaging materials as an alternative plastic packaging material since the hot pressed pulp mold not only is made with natural wood fibers but also has relatively high mechanical properties and good surface properties. Although the hot pressing drying process of the hot pressed pulp mold could increase strength properties, the bulk and the bulk related properties such as insulation could be deceased. In order to increase the applicability of the hot pressed pulp mold, this study assessed the effects of application of the different types of wood by-product such as bark and leaves, on the bulk and the tensile strength of hot pressed pulp mold. The addition of wood by-products resulted in the increase of bulk but the decrease of tensile strength. The loss of tensile strength was compensated by the addition of starch as a strength additive.
热压纸浆模具是一种很有前途的替代塑料包装材料之一,因为热压纸浆模具不仅由天然木材纤维制成,而且具有较高的机械性能和良好的表面性能。虽然热压干燥过程可以提高热压纸浆模具的强度性能,但会降低体积和与体积相关的性能,如绝缘性能。为了提高热压纸浆模具的适用性,本研究评估了不同类型的木材副产品如树皮和树叶的应用对热压纸浆模具的体积和抗拉强度的影响。木材副产物的加入使材料体积增大,但抗拉强度降低。抗拉强度的损失通过添加淀粉作为强度添加剂得到补偿。
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引用次数: 0
Predictive Modeling of Korean Traditional Paper Characteristics Using Machine Learning Approaches (Part 2): Prediction of Carbonyl Content and Analysis of Variable Importance Using Random Forest 使用机器学习方法对韩国传统纸张特性进行预测建模(第二部分):使用随机森林预测羰基含量和分析变量重要性
Q3 Engineering Pub Date : 2023-10-30 DOI: 10.7584/jktappi.2023.10.55.5.13
Kang-Jae Kim, Jin-Ho Kim, Geunyong Park, Myung-Joon Jeong
This paper introduces a random forest regression model trained with infrared spectral data to predict the carbonyl content of Hanji, a traditional Korean paper. The random forest model demonstrated excellent performance in carbonyl content prediction, surpassing the results obtained from the partial least squares model. To optimize the infrared spectral range for prediction, the spectral range was restricted from the entire range of 4000-400 cm-1 to the narrower range of 1800-1200 cm-1, known for its suitability in characterizing paper properties. This limitation enhanced the coefficients of determination of the model, increasing it from 0.921 to 0.937. A permutation variable importance measure was then applied to identify the key spectral regions contributing to carbonyl content prediction. The analysis pinpointed the 1650-1350 cm-1 range as a crucial region for accurate predictions. Subsequently, a new prediction model was built using data exclusively from this important region, yielding remarkably improved coefficients of determination of 0.960 and 0.965 for the raw and second derivative spectra, respectively. These findings affirm the validity and significance of the critical region identified by the permutation variable importance measure. The predictive performance of the established models is valid within the range of 7.2 to 29.4 μmol/g of carbonyl content in the training set.
本文介绍了一种利用红外光谱数据训练的随机森林回归模型,用于预测韩纸中羰基的含量。随机森林模型对羰基含量的预测效果优于偏最小二乘模型。为了优化预测的红外光谱范围,将光谱范围从4000-400 cm-1的整个范围限制到1800-1200 cm-1的较窄范围,以其适合表征纸张性能而知名。这一限制提高了模型的确定系数,使其从0.921提高到0.937。然后应用排列变量重要性度量来确定对羰基含量预测有贡献的关键光谱区域。分析指出,1650-1350厘米-1的范围是准确预测的关键区域。随后,利用该重要区域的数据建立了新的预测模型,对原始光谱和二阶导数光谱的决定系数分别提高到0.960和0.965。这些发现肯定了置换变量重要性测度所识别的关键区域的有效性和显著性。所建立的模型在训练集中羰基含量为7.2 ~ 29.4 μmol/g的范围内具有良好的预测性能。
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引用次数: 0
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Palpu Chongi Gisul/Journal of Korea Technical Association of the Pulp and Paper Industry
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