About This Journal
About This Journal
Journal of Korea TAPPI (or ‘Palpuchongi Gisul’, abbr. ‘J. of Korea TAPPI, herein ‘KTAPPI’; ISSN: 0253-3200 ) was launched in 1969 to provides advance the scientific knowledge and to share the novel technologies in all related area of pulp, paper and biomass utilization. KTAPPI is published in English and Korean, bimonthly on the last day of even number months (February 28, April 30, June 30, August 31, October 31 and December 31), and indexed in ‘SCPOUS.
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Research Article
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Fractal Dimension Analysis of Surface Roughness for Paper and Paperboard
종이 및 판지 표면 거칠음도의 프랙탈 차원 분석
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Yong Ju Lee, Na Young Kang, Ji Eun Cha, Ji Min Lee, Do Young Lee, Hyoung Jin Kim
이용주, 강나영, 차지은, 이지민, 이도영, 김형진
- Fractal geometry is characterized by its similarity and hierarchical organization. It exhibits a hierarchical structure composed of elements that share the same …
- Fractal geometry is characterized by its similarity and hierarchical organization. It exhibits a hierarchical structure composed of elements that share the same shape but vary in size, ranging from the largest to the smallest. In this study, the fractal-dimension values of a paper and paperboard were calculated, which reveal distinct properties of fractal dimensions in contrast to Euclidean geometry. The variogram method was employed to characterize the surface roughness profiles using fractal-dimension analysis to obtain the fractal dimensions of paper products. A decrease in the fractal-dimension value was observed following the coating process. These findings imply the promising applicability of fractal-dimension analysis for evaluating the effects of postprocessing techniques, including printing, coating, creping, and embossing. - COLLAPSE
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Fractal Dimension Analysis of Surface Roughness for Paper and Paperboard
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Research Article
- Sound Absorption Capability of Medicine Herb Residues Mat
- Eun-Suk Jang, Nam-Ho Lee, Chun-Won Kang
- This study investigated the sound-absorbing properties of herbal medicine waste (HMW) as a promising eco-friendly material for sound absorption. The authors examined …
- This study investigated the sound-absorbing properties of herbal medicine waste (HMW) as a promising eco-friendly material for sound absorption. The authors examined the sound absorption coefficient by filling impedance tubes with varying heights of HMW (4 cm, 6 cm, 8 cm, and 10 cm). The results revealed that at a filling height of 4 cm, the optimal sound absorption frequency was found to be 1416 Hz, with a sound absorption coefficient of 0.999. Similarly, at a filling height of 12 cm, the optimal sound absorption coefficient was 0.965 at 456 Hz. It was observed that the sound-absorbing performance at lower frequencies improved as the thickness of the sound-absorbing material increased. Based on the standards established in KS F 3503, HMW would receive a sound absorption grade of 0.5M to 0.7M, depending on the filling height. In conclusion, HMW showed excellent potential as a sound-absorbing material, and the results of our testing showed that it can be used as an alternative to synthetic fibers. - COLLAPSE
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Research Article
- ANN Modeling of Drying Kinetics for Molded Pulp Product during Convective and Microwave Drying Process
- Lingbo Kong, Ziliang Zhang, Yang Song, Junzhong Chen
- With the purpose of improving molded pulp product (MPP) drying process, the present work investigated the microwave drying performance of MPP under …
- With the purpose of improving molded pulp product (MPP) drying process, the present work investigated the microwave drying performance of MPP under the power level of 500 W and compared that with the convective drying method. The drying kinetics, the effective moisture diffusivity, and the energy consumption of the two drying methods were evaluated respectively. It was found that the drying time was shortened from 22.0 min for convective drying to 16.0 min for microwave drying due to 27% of drying rate enhancement, and the effective moisture diffusivity was increased from 3.01×10-10 to 4.49×10-10 m2/s. Additionally, 88% of energy consumption could be saved in the microwave drying process. An artificial neural network (ANN) was employed to predict the moisture removing kinetics of MPP. The results revealed that the ANN modeling could be used to predict the drying kinetics of MPP effectively and then determine the moisture content in the drying process. - COLLAPSE
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Research Article
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Characterization of Surface Modification of Woody Biomass Grafted with Acrylic Monomers
아크릴계 모노머의 그라프팅을 통한 목질계 바이오매스의 표면개질 연구
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Donghyun Kim, Yunji Lee, Bo Min Kim, Kang-Jae Kim, Jaehyeung Park
김동현, 이윤지, 김보민, 김강재, 박재형
- This study aimed to improve the surface properties of lignocellulosic cellulose fiber using the oxidative grafting method. Various acrylic monomers were used, …
- This study aimed to improve the surface properties of lignocellulosic cellulose fiber using the oxidative grafting method. Various acrylic monomers were used, including methyl methacrylate, methyl acrylate, ethyl acrylate, and varying monomer concentrations. In addition, the effect of ceric ammonium nitrate (CAN) as an initiator on the grafting efficiency and surface modification was investigated. The experimental results showed that the kind and concentration of acrylic monomer and the presence of the CAN initiator had a substantial impact on grafting efficiency and surface modification. This study contributes to the advancement of surface modification strategies for cellulose-based bioplastics and provides insights into the optimization of the oxidative grafting process. - COLLAPSE
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Characterization of Surface Modification of Woody Biomass Grafted with Acrylic Monomers
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Research Article
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Evaluation of Cellulose Fiber Dispersion in Cellulose Fiber Reinforced Biocomposites using SEM and EDS
SEM과 EDS를 이용한 셀룰로오스 강화 바이오복합재 내 셀룰로오스 섬유의 분산성 평가
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Jin Hyuk Choi, Hakmyoung Lee, Shin Young Park, Jinseung Kim, Natalie Arazella, Junghwan Ryu, Hye Jung Youn
최진혁, 이학명, 박신영, 김진승, ArazellaNatalie, 류정환, 윤혜정
- Cellulose fiber, particularly nanocellulose, which is the most abundant biodegradable natural polymer, is receiving extensive attention as an ecofriendly reinforcing material for …
- Cellulose fiber, particularly nanocellulose, which is the most abundant biodegradable natural polymer, is receiving extensive attention as an ecofriendly reinforcing material for biocomposites. However, dispersing cellulose fiber uniformly is difficult due to its hydrophilicity, when incorporated into a fossil fuel-based polymer matrix. However, the fiber dispersion in polymer matrix is very crucial to obtain biocomposites with high performance. Few studies have been reported to perform quantitative and direct evaluation of the dispersibility of nanocellulose in composites, although many studies have investigated the importance of dispersibility. In this study, scanning electron microscope (SEM) with energy dispersive X-ray spectroscopy (EDS) was employed to investigate the morphological characteristics and dispersion pattern of cellulose fibers in polypropylene composites. Furthermore, the dispersibility of fibers was measured using the fiber area ratio from cross-sectional images obtained using SEM and EDS. The similarity between the two evaluation methods was examined using the Bland-Altman plot, revealing a significant level of agreement between the two methods. - COLLAPSE
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Evaluation of Cellulose Fiber Dispersion in Cellulose Fiber Reinforced Biocomposites using SEM and EDS
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Research Article
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Changes in Char Properties according to Carbonization Conditions of Urban Fallen Leaves
가로수 낙엽의 탄화 조건에 따른 특성 변화
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So Hyun Kim, Myeong Ho Lee, Yong Joo Sung
김소현, 이명호, 성용주
- This study evaluated the effects of carbonization conditions on the char properties of fallen leaves originated urban area. As the disposal of …
- This study evaluated the effects of carbonization conditions on the char properties of fallen leaves originated urban area. As the disposal of urban fallen leaves has been one of the serious environmental issues, their carbonization could be a reliable method for increasing their usability. Continuous carbonization instrument was devised for this study. The fallen leaves were transferred using a screw conveyor, which made it possible to control the time for carbonization. The degree of carbonization depending on carbonization conditions such as time and temperature were evaluated by elemental analysis, particularly the compositional ratio of the carbon element. Moreover, carbonization increased the pH of the char of fallen leaves. The yield of the char of fallen leaves was decreased; however, the micro-pore structure was increased by increasing the carbonization time. The higher porosity of the fallen leaves char resulted in a higher iodine adsorption ability. - COLLAPSE
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Changes in Char Properties according to Carbonization Conditions of Urban Fallen Leaves
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Research Article
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Predictive Modeling of Traditional Korean Paper Characteristics Using Machine Learning Approaches (Part 1): Discriminating Manufacturing Origins with Artificial Neural Networks and Infrared Spectroscopy
기계학습을 이용한 한지의 특성 예측 모델링 (Part 1) -인공신경망과 적외선 분광법을 이용한 제조 지역 판별-
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Sung-Wook Hwang, Geunyong Park, Jinho Kim, Myung-Joon Jeong
황성욱, 박근용, 김진호, 정명준
- This study focuses on machine learning-based approaches in combination with infrared spectroscopy to discriminate the manufacturing origin of Hanji, a traditional Korean …
- This study focuses on machine learning-based approaches in combination with infrared spectroscopy to discriminate the manufacturing origin of Hanji, a traditional Korean paper. Infrared spectra provide useful information about the chemical composition and structural features of Hanji, while principal component analysis and hierarchical clustering extract meaningful patterns related to the manufacturing region. Score plots and hierarchical clustering of the principal components provide enhanced clustering patterns based on manufacturing region by focusing on the spectral region 1800-1200 cm-1. The clustering patterns are driven by key absorption bands, such as those associated with carboxyl groups, crystalline cellulose, and aromatic rings. In addition, feed-forward neural network classification models that were developed using the spectral data exhibit significant accuracy when classifying the Hanji manufacturing regions. In particular, models utilizing the raw and second derivative spectra in the 1800-1200 cm-1 region exhibit excellent classification performance, indicating the effectiveness of this spectral region for classification purposes. This study demonstrates the effective application of artificial neural networks in conjunction with infrared spectroscopy to characterize and classify Hanji based on its manufacturing region. The results contribute to a better understanding of the unique properties of Hanji and the discovery of new insights from paper cultural artifacts. - COLLAPSE
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Predictive Modeling of Traditional Korean Paper Characteristics Using Machine Learning Approaches (Part 1): Discriminating Manufacturing Origins with Artificial Neural Networks and Infrared Spectroscopy
Journal of Korea TAPPI
