Pub Date : 2023-01-01DOI: 10.1177/15280837231186174
Müslüm Kaplan, J. Ortega, Felix Krooß, T. Gries
Combining the several mixed phase structures and property profiles with a conductive, high aspect ratios nanofiller such as carbon nanotubes, graphene, and carbon black, specific morphological structures in melt spinning can be reached that offer much more potential for developing new functional fibers. Thus, understanding and controlling filler localization inside the developing phase morphology during melt spinning are the keys to the necessary structures. This work aimed to offer the possibility of producing fibers from electrically conductive polymer composites with a high filler concentration. First, the influence of different commercially available nanofillers, such as multi-wall carbon nanotubes (MWCNTs), graphene and carbon black on Polyamide 6 (PA6)-based nanocomposite melt-spun fibers were examined. Following the lab-scale melt spinning experiments, PA6/MWCNT-CB nanocomposite filaments containing 10 wt% nanofiller (each 5 wt%), were chosen for a pilot-scale bicomponent melt spinning process to investigate the influence of the nanocomposite core material feeding parameters on the properties of melt-spun fibers. The electrical conductivity decreased by half (from 3.13E-02 to 6.72E-03) when melt flow rate was increased from 3 g/min to 6 g/min. Scanning electron microscopy micrographs and thermal gravimetric analysis thermograms showed that the change in MFR values significantly affected the nanocomposite filaments’ surface properties.
{"title":"Bicomponent melt spinning of polyamide 6/carbon nanotube/carbon black filaments: Investigation of effect of melt mass-flow rate on electrical conductivity","authors":"Müslüm Kaplan, J. Ortega, Felix Krooß, T. Gries","doi":"10.1177/15280837231186174","DOIUrl":"https://doi.org/10.1177/15280837231186174","url":null,"abstract":"Combining the several mixed phase structures and property profiles with a conductive, high aspect ratios nanofiller such as carbon nanotubes, graphene, and carbon black, specific morphological structures in melt spinning can be reached that offer much more potential for developing new functional fibers. Thus, understanding and controlling filler localization inside the developing phase morphology during melt spinning are the keys to the necessary structures. This work aimed to offer the possibility of producing fibers from electrically conductive polymer composites with a high filler concentration. First, the influence of different commercially available nanofillers, such as multi-wall carbon nanotubes (MWCNTs), graphene and carbon black on Polyamide 6 (PA6)-based nanocomposite melt-spun fibers were examined. Following the lab-scale melt spinning experiments, PA6/MWCNT-CB nanocomposite filaments containing 10 wt% nanofiller (each 5 wt%), were chosen for a pilot-scale bicomponent melt spinning process to investigate the influence of the nanocomposite core material feeding parameters on the properties of melt-spun fibers. The electrical conductivity decreased by half (from 3.13E-02 to 6.72E-03) when melt flow rate was increased from 3 g/min to 6 g/min. Scanning electron microscopy micrographs and thermal gravimetric analysis thermograms showed that the change in MFR values significantly affected the nanocomposite filaments’ surface properties.","PeriodicalId":16097,"journal":{"name":"Journal of Industrial Textiles","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41759275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1177/15280837231178945
T. Suryaprabha, Seungkyu Park
Nowadays, the research on wearable electronics have received tremendous attraction because of their potential applications in personalized health monitoring and treatment, energy conversion and storage, and human-machine interface system. Herein, we report a facile route for the fabrication of electrically conductive cotton fabric with excellent joule heating and high electromagnetic shielding performances using graphene oxide (GO) and silver nitrate (AgNO3). The GO used in this study is exclusively synthesized from spent batteries in order to minimize the environmental pollution. The surface morphology, elemental analysis, electrical conductivity, thermo-heating behavior and electromagnetic shielding performance have been studied systematically. Due to the high electrical conductivity, the GO-Ag coated cotton with 5 wt% of GO reached high surface temperature of 117.8°C within 35 s, and also it exhibits high electromagnetic interference shielding efficiency value of 79.08 dB. The high flexibility, excellent conductivity, electromagnetic shielding efficiency and joule heating performance of GO-Ag coated cotton fabric suggesting that the GO synthesized from spent batteries will be a potential and valuable resource for the new generation of wearable electronics.
{"title":"Fabrication of multifunctional cotton textile with battery waste- derived graphene oxide for enhanced joule heating and electromagnetic interference shielding","authors":"T. Suryaprabha, Seungkyu Park","doi":"10.1177/15280837231178945","DOIUrl":"https://doi.org/10.1177/15280837231178945","url":null,"abstract":"Nowadays, the research on wearable electronics have received tremendous attraction because of their potential applications in personalized health monitoring and treatment, energy conversion and storage, and human-machine interface system. Herein, we report a facile route for the fabrication of electrically conductive cotton fabric with excellent joule heating and high electromagnetic shielding performances using graphene oxide (GO) and silver nitrate (AgNO3). The GO used in this study is exclusively synthesized from spent batteries in order to minimize the environmental pollution. The surface morphology, elemental analysis, electrical conductivity, thermo-heating behavior and electromagnetic shielding performance have been studied systematically. Due to the high electrical conductivity, the GO-Ag coated cotton with 5 wt% of GO reached high surface temperature of 117.8°C within 35 s, and also it exhibits high electromagnetic interference shielding efficiency value of 79.08 dB. The high flexibility, excellent conductivity, electromagnetic shielding efficiency and joule heating performance of GO-Ag coated cotton fabric suggesting that the GO synthesized from spent batteries will be a potential and valuable resource for the new generation of wearable electronics.","PeriodicalId":16097,"journal":{"name":"Journal of Industrial Textiles","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44187462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1177/15280837231188966
H. Kim, Yujin Hong, H. Choi
This study developed a corresponding measurement-based patternmaking (CMP) method for customized gloves applicable to different hand shapes to support the manufacturing of smart wearables. This method can be used directly to implement a 2D block pattern of gloves by hand measuring and 3D scanning alone. Our customized glove prototype was manufactured considering the glove’s functionality and usability and in accordance with the protocol designed, targeting individual participants. The CMP method for customized gloves was verified by checking the function and functional fit of the customized glove prototype through a wear test that compared the prototype with a commercial glove. In the process, the rules of the existing CMP method for customized leggings were adjusted for the protocol to comply with the structural specificity of the hand. Accordingly, a guideline for customized gloves’ patternmaking was proposed to help future developers. The originality of the CMP method lies in the pattern construction of a perfectly matched size, a side panel structure of C-curve fingers, and patterns for a trapezoid hand proximal part structure. Furthermore, the newly devised CMP method for customized gloves can be used as a baseline for smart wearable devices to offer high functionality and usability for individuals with unique hand shapes who need customized gloves.
{"title":"Corresponding measurement-based patternmaking method for customized gloves to support smart wearables","authors":"H. Kim, Yujin Hong, H. Choi","doi":"10.1177/15280837231188966","DOIUrl":"https://doi.org/10.1177/15280837231188966","url":null,"abstract":"This study developed a corresponding measurement-based patternmaking (CMP) method for customized gloves applicable to different hand shapes to support the manufacturing of smart wearables. This method can be used directly to implement a 2D block pattern of gloves by hand measuring and 3D scanning alone. Our customized glove prototype was manufactured considering the glove’s functionality and usability and in accordance with the protocol designed, targeting individual participants. The CMP method for customized gloves was verified by checking the function and functional fit of the customized glove prototype through a wear test that compared the prototype with a commercial glove. In the process, the rules of the existing CMP method for customized leggings were adjusted for the protocol to comply with the structural specificity of the hand. Accordingly, a guideline for customized gloves’ patternmaking was proposed to help future developers. The originality of the CMP method lies in the pattern construction of a perfectly matched size, a side panel structure of C-curve fingers, and patterns for a trapezoid hand proximal part structure. Furthermore, the newly devised CMP method for customized gloves can be used as a baseline for smart wearable devices to offer high functionality and usability for individuals with unique hand shapes who need customized gloves.","PeriodicalId":16097,"journal":{"name":"Journal of Industrial Textiles","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44570588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1177/15280837231187671
Xun Qiu, Yuanyuan Liu, Xiaoqiang Zhang, Dongzhi Liu, Ran Wang, Chong Wang, Jun Liu, Wei Liu, Yan Gong
Near-Infrared (NIR) spectroscopic analyses can be applied in waste textile recycling as a rapid and non-invasive method to provide both qualitative and quantitative results. However, it has been a challenge to enhance the accuracy rate of NIR-based waste textile sorting due to the major influences from water contexts in the samples. Orthogonalization of External Parameters (EPO) has been introduced to reduce the interference from water absorption in NIR spectral signals for better accuracy and reliability in modeling. Here we explore the feasibility of applying EPO strategy with varieties of algorithms, including partial least squares regression (PLS), artificial neural network (ANN), decision tree (DT), random forest (RF), gradient boosting decision tree (GBDT), extreme random tree (Extra-tree), decision tree model based on AdaBoost algorithm (AdaBoost-tree), support Vector machine (SVM), one-dimensional convolutional neural network (1D-CNN), and one-dimensional convolutional neural network with improved Inception structure (1D-Inception-CNN). 216 waste textiles samples from Xinjiang, China, were studied with different moisture levels. Among them, 80 samples were used to develop the EPO algorithm, 112 were used to establish the prediction models, and 24 were used as test datasets. Then, the samples were scanned using a near-infrared spectrometer at different moisture regain rates. Our results showed that the moisture content of waste textiles had strong absorption peaks near 1150 and 1450 nm, leading to a decrease in the near-infrared reflectance of waste textiles. To verify the effectiveness of the EPO algorithm, the decision coefficients (R2 score) and other indicators of the model without the EPO process and the model with EPO process are systematically compared. Our results show that the EPO algorithm preprocessing improves the accuracy of the NIR model (The average decision coefficient (R2 score) of the models was increased by 0.83), especially when the moisture interference level is significant. Therefore, the EPO integrated modeling method is a reliable approach for better accuracy in NIR-based waste textile sorting.
{"title":"Moisture insensitive analysis of polyester/viscose waste textiles using Near-Infrared spectroscopy and Orthogonalization of external parameters algorithm","authors":"Xun Qiu, Yuanyuan Liu, Xiaoqiang Zhang, Dongzhi Liu, Ran Wang, Chong Wang, Jun Liu, Wei Liu, Yan Gong","doi":"10.1177/15280837231187671","DOIUrl":"https://doi.org/10.1177/15280837231187671","url":null,"abstract":"Near-Infrared (NIR) spectroscopic analyses can be applied in waste textile recycling as a rapid and non-invasive method to provide both qualitative and quantitative results. However, it has been a challenge to enhance the accuracy rate of NIR-based waste textile sorting due to the major influences from water contexts in the samples. Orthogonalization of External Parameters (EPO) has been introduced to reduce the interference from water absorption in NIR spectral signals for better accuracy and reliability in modeling. Here we explore the feasibility of applying EPO strategy with varieties of algorithms, including partial least squares regression (PLS), artificial neural network (ANN), decision tree (DT), random forest (RF), gradient boosting decision tree (GBDT), extreme random tree (Extra-tree), decision tree model based on AdaBoost algorithm (AdaBoost-tree), support Vector machine (SVM), one-dimensional convolutional neural network (1D-CNN), and one-dimensional convolutional neural network with improved Inception structure (1D-Inception-CNN). 216 waste textiles samples from Xinjiang, China, were studied with different moisture levels. Among them, 80 samples were used to develop the EPO algorithm, 112 were used to establish the prediction models, and 24 were used as test datasets. Then, the samples were scanned using a near-infrared spectrometer at different moisture regain rates. Our results showed that the moisture content of waste textiles had strong absorption peaks near 1150 and 1450 nm, leading to a decrease in the near-infrared reflectance of waste textiles. To verify the effectiveness of the EPO algorithm, the decision coefficients (R2 score) and other indicators of the model without the EPO process and the model with EPO process are systematically compared. Our results show that the EPO algorithm preprocessing improves the accuracy of the NIR model (The average decision coefficient (R2 score) of the models was increased by 0.83), especially when the moisture interference level is significant. Therefore, the EPO integrated modeling method is a reliable approach for better accuracy in NIR-based waste textile sorting.","PeriodicalId":16097,"journal":{"name":"Journal of Industrial Textiles","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45937414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1177/15280837231200030
Jianhua Fan, Kun Yang, Liang Zhang, Lu Wang, Zhiwu Han
In this paper, two-dimensional numerical simulations are performed to investigate the particle filtration performance of multi-fiber filters using computational fluid dynamics ( CFD) technology. We combine fluid and particle properties as well as fiber size into single dimensionless numbers to analyze the influence of fiber arrangements on the system pressure drop and capture efficiency during the filtration process. The results indicate that the motion and deposition of aerosol particles significantly depend on the combined effects of Brownian diffusion, interception and inertial impaction mechanisms. The capture of aerosol particles with diameters less than 0.1 [Formula: see text] is strongly determined by the Brownian diffusion mechanism. For the case where interception and inertia impaction mechanisms dominate, particles with diameters in the range of 1–10 [Formula: see text] are more easily captured. In addition, the filter with a staggered fiber array structure exhibits a higher capture efficiency than that of parallel and random cases. From the quality factor standpoint, filters with both the staggered and random fiber arrangements show a better filtration performance. The research results can provide a fundamental understanding of the particle filtration process and the theoretical basis for filter design and optimization.
{"title":"Dimensionless study of the fiber arrangement on particle filtration characteristics in a multi-fiber filter","authors":"Jianhua Fan, Kun Yang, Liang Zhang, Lu Wang, Zhiwu Han","doi":"10.1177/15280837231200030","DOIUrl":"https://doi.org/10.1177/15280837231200030","url":null,"abstract":"In this paper, two-dimensional numerical simulations are performed to investigate the particle filtration performance of multi-fiber filters using computational fluid dynamics ( CFD) technology. We combine fluid and particle properties as well as fiber size into single dimensionless numbers to analyze the influence of fiber arrangements on the system pressure drop and capture efficiency during the filtration process. The results indicate that the motion and deposition of aerosol particles significantly depend on the combined effects of Brownian diffusion, interception and inertial impaction mechanisms. The capture of aerosol particles with diameters less than 0.1 [Formula: see text] is strongly determined by the Brownian diffusion mechanism. For the case where interception and inertia impaction mechanisms dominate, particles with diameters in the range of 1–10 [Formula: see text] are more easily captured. In addition, the filter with a staggered fiber array structure exhibits a higher capture efficiency than that of parallel and random cases. From the quality factor standpoint, filters with both the staggered and random fiber arrangements show a better filtration performance. The research results can provide a fundamental understanding of the particle filtration process and the theoretical basis for filter design and optimization.","PeriodicalId":16097,"journal":{"name":"Journal of Industrial Textiles","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47035290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1177/15280837221150202
M. Vorhof, C. Sennewald, P. Schegner, M. Q. Pham, G. Hoffmann, T. Gereke, C. Cherif
Lightweight panels are of high relevance for various applications, such as automotive, aerospace, civil engineering, and achieve high stiffnesses and strengths at low self-weight. The sandwich principle is commonly used to manufacture the panels, although conventional materials and reinforcement structures often limit the design and application of the panels in a wide range of possible applications. The reason for this is that lightweight panels fail either under combined compressive/shear loading or as a result of delamination of the individual layers. In this article, novel fabric structures are presented as a basis for the fabrication of lightweight panels that effectively overcome these deficiencies. These fabrics have a spatial truss-like structure, with the core and top layer being connected by continuously running reinforcing fibers. This results in high panel stability and high delamination resistance, which are evaluated in this article using mechanical tests in compression, flexure and combined tension-shear. The results are related to sample panels with conventional honeycomb core as reference. The high potential and excellent delamination resistance of the new fabric-based lightweight panels is shown in the result of the tests.
{"title":"Lightweight panels with high delamination resistance made of integrally woven truss-like fabric structures","authors":"M. Vorhof, C. Sennewald, P. Schegner, M. Q. Pham, G. Hoffmann, T. Gereke, C. Cherif","doi":"10.1177/15280837221150202","DOIUrl":"https://doi.org/10.1177/15280837221150202","url":null,"abstract":"Lightweight panels are of high relevance for various applications, such as automotive, aerospace, civil engineering, and achieve high stiffnesses and strengths at low self-weight. The sandwich principle is commonly used to manufacture the panels, although conventional materials and reinforcement structures often limit the design and application of the panels in a wide range of possible applications. The reason for this is that lightweight panels fail either under combined compressive/shear loading or as a result of delamination of the individual layers. In this article, novel fabric structures are presented as a basis for the fabrication of lightweight panels that effectively overcome these deficiencies. These fabrics have a spatial truss-like structure, with the core and top layer being connected by continuously running reinforcing fibers. This results in high panel stability and high delamination resistance, which are evaluated in this article using mechanical tests in compression, flexure and combined tension-shear. The results are related to sample panels with conventional honeycomb core as reference. The high potential and excellent delamination resistance of the new fabric-based lightweight panels is shown in the result of the tests.","PeriodicalId":16097,"journal":{"name":"Journal of Industrial Textiles","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47774416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1177/15280837231171733
Shunchen Nie, Li Yu, Yanjun Li, Zhihong Sun, Bowen Qiu
In order to investigate the dynamics and vortex shedding of flexible supersonic canopies, a compressible permeability model combined with fabric structure parameters is proposed, and the periodic oscillation of the supersonic parachute which is referred to as breathing phenomenon is simulated based on the Arbitrary Langrangian Eulerian (ALE) method. The calculated results by new permeability model are consistent with the experimental results. The underlying mechanism of canopy breathing motion is then investigated. Moreover, the influence of canopy permeability on breathing phenomenon of supersonic parachute is analyzed. The results indicate that the periodic growth and shedding of the canopy vortex causes the variation of the pressure differential, which finally lead to the periodic oscillation of the canopy. With the increase of fabric permeability, the vortex rolled up from the canopy skirt move backward and become more slender. The influence of vortex shedding on canopy breathing motion weakened. Those lead to the decrease of the average value of canopy projected area and parachute dynamic load. So are the oscillation amplitude and frequency. The parachute deceleration performance decreases while the parachute swing angle decreases as the canopy permeability increases.
{"title":"Influence of fabric permeability on breathing phenomenon of supersonic parachute","authors":"Shunchen Nie, Li Yu, Yanjun Li, Zhihong Sun, Bowen Qiu","doi":"10.1177/15280837231171733","DOIUrl":"https://doi.org/10.1177/15280837231171733","url":null,"abstract":"In order to investigate the dynamics and vortex shedding of flexible supersonic canopies, a compressible permeability model combined with fabric structure parameters is proposed, and the periodic oscillation of the supersonic parachute which is referred to as breathing phenomenon is simulated based on the Arbitrary Langrangian Eulerian (ALE) method. The calculated results by new permeability model are consistent with the experimental results. The underlying mechanism of canopy breathing motion is then investigated. Moreover, the influence of canopy permeability on breathing phenomenon of supersonic parachute is analyzed. The results indicate that the periodic growth and shedding of the canopy vortex causes the variation of the pressure differential, which finally lead to the periodic oscillation of the canopy. With the increase of fabric permeability, the vortex rolled up from the canopy skirt move backward and become more slender. The influence of vortex shedding on canopy breathing motion weakened. Those lead to the decrease of the average value of canopy projected area and parachute dynamic load. So are the oscillation amplitude and frequency. The parachute deceleration performance decreases while the parachute swing angle decreases as the canopy permeability increases.","PeriodicalId":16097,"journal":{"name":"Journal of Industrial Textiles","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41855760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1177/15280837231186652
B. Zaarour, Wanjun Liu
Oil sorbents play a significant role in the treatment processes of oil spills, therefore, enhancing the oil-water separation capacity of sorbents has been charming the consideration of scientific researchers. To improve the properties of oil sorption and simplify the process of oil recovery, many advanced oil sorbent devices have been projected recently. Different types of materials are used as sorbents for oil-water separation, however, up to now, there is no review paper focused on textile (woven, knitting, and nonwoven) sorbents, and compared with them. In this review paper, the classification of textile fabrics, properties of surface wetting, fabrication methods of textile sorbents for oil spill cleanup, their properties, and recent applications in the field of oil cleanup are studied. We believe this review can serve as an essential reference for the formation of textile sorbents, their properties, and their applications in the field of oil spill cleanup.
{"title":"Recent advances of textile sorbents for oil spills cleanup: A review","authors":"B. Zaarour, Wanjun Liu","doi":"10.1177/15280837231186652","DOIUrl":"https://doi.org/10.1177/15280837231186652","url":null,"abstract":"Oil sorbents play a significant role in the treatment processes of oil spills, therefore, enhancing the oil-water separation capacity of sorbents has been charming the consideration of scientific researchers. To improve the properties of oil sorption and simplify the process of oil recovery, many advanced oil sorbent devices have been projected recently. Different types of materials are used as sorbents for oil-water separation, however, up to now, there is no review paper focused on textile (woven, knitting, and nonwoven) sorbents, and compared with them. In this review paper, the classification of textile fabrics, properties of surface wetting, fabrication methods of textile sorbents for oil spill cleanup, their properties, and recent applications in the field of oil cleanup are studied. We believe this review can serve as an essential reference for the formation of textile sorbents, their properties, and their applications in the field of oil spill cleanup.","PeriodicalId":16097,"journal":{"name":"Journal of Industrial Textiles","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45886761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1177/15280837231188529
Yujin Hong, H. Kim, H. Choi
Research purpose: This study aimed to lay a research foundation for smart hand wearable design by classifying the right-hand data of 4545 adults aged 20 to 69. Further, to increase the practical applicability of the hand classification system, a hand type discrimination method and regression equations for the hand dimensions of each type were presented. Methods: This study statistically analyzed eighth Size Korea data with IBM SPSS Ver.26.0. Cluster analysis was performed to classify both finger length and circumference type. Discriminant analysis was conducted, yielding discriminant functions to aid potential smart hand wearable wearers in self-diagnosing their hand types. Linear regression analysis yielded regression equations for the detailed finger dimensions for the pattern-making of smart hand wearables. Results: The finger length type was categorized into four types: the Uphill type, Downhill type, Mountain type, and Horizon type for both men’s and women’s hands. The finger circumference type was categorized into two types, the Cone and Cylinder types, for both men’s and women’s hands. The discriminant function showed a mean accuracy rate of 89.9% and the regression equations a mean explanatory power of 72.9%. Conclusion: The hand classification system proposed in this study aimed to improve the fingertip fit of smart hand wearable products by analyzing the configuration of motion tracking gloves or haptic gloves. In addition, considering the practical applicability for both wearers and designers of smart hand wearables, a discrimination method of finger types for wearers’ self-diagnosis and regression functions of finger dimensions for designers’ pattern making were provided.
{"title":"Development of a hand classification system for smart hand wearables","authors":"Yujin Hong, H. Kim, H. Choi","doi":"10.1177/15280837231188529","DOIUrl":"https://doi.org/10.1177/15280837231188529","url":null,"abstract":"Research purpose: This study aimed to lay a research foundation for smart hand wearable design by classifying the right-hand data of 4545 adults aged 20 to 69. Further, to increase the practical applicability of the hand classification system, a hand type discrimination method and regression equations for the hand dimensions of each type were presented. Methods: This study statistically analyzed eighth Size Korea data with IBM SPSS Ver.26.0. Cluster analysis was performed to classify both finger length and circumference type. Discriminant analysis was conducted, yielding discriminant functions to aid potential smart hand wearable wearers in self-diagnosing their hand types. Linear regression analysis yielded regression equations for the detailed finger dimensions for the pattern-making of smart hand wearables. Results: The finger length type was categorized into four types: the Uphill type, Downhill type, Mountain type, and Horizon type for both men’s and women’s hands. The finger circumference type was categorized into two types, the Cone and Cylinder types, for both men’s and women’s hands. The discriminant function showed a mean accuracy rate of 89.9% and the regression equations a mean explanatory power of 72.9%. Conclusion: The hand classification system proposed in this study aimed to improve the fingertip fit of smart hand wearable products by analyzing the configuration of motion tracking gloves or haptic gloves. In addition, considering the practical applicability for both wearers and designers of smart hand wearables, a discrimination method of finger types for wearers’ self-diagnosis and regression functions of finger dimensions for designers’ pattern making were provided.","PeriodicalId":16097,"journal":{"name":"Journal of Industrial Textiles","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45805113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1177/15280837221146292
Jin Tao, Ying Zhu, Tao Huang, Jishu Zhang, Jianbing Wu, Lei-gen Liu
Heavy metal contamination is a serious concern worldwide. In order to remove heavy metal ions from wastewater efficiently, multifunctinoal biomass-based material have been utilized. Herein, hyperbranched polymer modified cellulose biomass (HBP-CB) derived from textile waste materials ramie fibers was successfully developed by construction of Fe3O4/SiO2/polymer multiple structure through an etch-fill strategy. Specifically, Fe3O4 and SiO2 particles were introduced to the oxidation etching cellulose surface, and subsequently modified by hyperbranched polymer The adsorption behavior of the adsorbent toward two classes of heavy metal ions was investigated. The results indicated that HBP-CB owned excellent adsorption capacities for chromium and Cu(II) with maximum 123.5 mg/g and 149.0 mg/g and magnetic recovery performance in aqueous medium. These are owing to the oxidization etching biomass matrix with a higher BET surface area of 4.61 m2/g and the hybrid multiple structure modified by functional hyperbranched polymer with high dense adsorptive sites on the matrix. The adsorption behavior was well described by pseudo-second-order kinetic model and Langmuir isotherm model, revealing a rapid surface adsorption and monolayer spontaneous chemical adsorption. For recycling, 81% of adsorption capacity could be retained after five recovery cycles. These demonstrate that the hybrid multiple structure based on biomass, nanomaterials and polymer could provide sustainable and high-performance adsorption property for wastewater treatment.
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