Pub Date : 2024-01-01DOI: 10.1177/15280837231225827
Qin Yi Shao, Yilin Zhang, Jun Liu, Zhan Sun, Shijian Dong
Wearable electronics have attracted have attracted widespread attentions for their promising applications in motion monitoring and human-computer interaction. This paper proposes a flexible wearable joint movement intelligent sensing and recognition system to achieve stable and reliable motion feature extraction and recognition. Flexible graphene hybrid knitted sensor were prepared by transferring graphenes (GNs) agent onto stretchable knitted products via a simple spray-drying approach. The small dynamic movement of human joints for the prepared GNs hybrid sensing gloves, elbow pads and knee pads were converted into electrical signals for sensitive detection. The convolutional neural network fusion long short-term memory (CNN-LSTM) network with self-attention mechanism (SAM) is established for feature training and intelligent dynamic recognition of the measured joint information. The interconnected conductive networks endowed knitted sensor with good flexibility and remarkable electrical conductivity of 37 S/m. The unique conductive networks in the fabric offered excellent linearity and repeatable resistance response variation for better detection of joint motion. The resistant signal was analyzed by feature extraction, data correlation capture and time sequence relationship modeling. Finally, the test results show that the proposed CNN-LSTM with SAM network achieves 97%, 96% and 100% correct recognition rates for gesture signals, elbow and wrist signals and knee signals respectively, which is obviously higher than other recognition algorithms. It has great application prospects in the fields of smart wear, medical detection, and smart elderly care.
{"title":"Investigation of flexible graphene hybrid knitted sensor for joint motion recognition based on convolutional neural network fusion long short-term memory network","authors":"Qin Yi Shao, Yilin Zhang, Jun Liu, Zhan Sun, Shijian Dong","doi":"10.1177/15280837231225827","DOIUrl":"https://doi.org/10.1177/15280837231225827","url":null,"abstract":"Wearable electronics have attracted have attracted widespread attentions for their promising applications in motion monitoring and human-computer interaction. This paper proposes a flexible wearable joint movement intelligent sensing and recognition system to achieve stable and reliable motion feature extraction and recognition. Flexible graphene hybrid knitted sensor were prepared by transferring graphenes (GNs) agent onto stretchable knitted products via a simple spray-drying approach. The small dynamic movement of human joints for the prepared GNs hybrid sensing gloves, elbow pads and knee pads were converted into electrical signals for sensitive detection. The convolutional neural network fusion long short-term memory (CNN-LSTM) network with self-attention mechanism (SAM) is established for feature training and intelligent dynamic recognition of the measured joint information. The interconnected conductive networks endowed knitted sensor with good flexibility and remarkable electrical conductivity of 37 S/m. The unique conductive networks in the fabric offered excellent linearity and repeatable resistance response variation for better detection of joint motion. The resistant signal was analyzed by feature extraction, data correlation capture and time sequence relationship modeling. Finally, the test results show that the proposed CNN-LSTM with SAM network achieves 97%, 96% and 100% correct recognition rates for gesture signals, elbow and wrist signals and knee signals respectively, which is obviously higher than other recognition algorithms. It has great application prospects in the fields of smart wear, medical detection, and smart elderly care.","PeriodicalId":16097,"journal":{"name":"Journal of Industrial Textiles","volume":"112 10","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139454180","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 : 2023-11-30DOI: 10.1177/15280837231217401
Nur-Us-Shafa Mazumder, Jingtian Lu, Andrew Stephen Hall, Arash Kasebi, Arjunsing Girase, Farzaneh Masoud, Jeffrey O Stull, R Bryan Ormond
In 2022, the occupation of firefighting was categorized as a "Group 1" carcinogen, meaning it is known to be carcinogenic to humans. The personal protective equipment that structural firefighters wear is designed to safeguard them from thermal, physical, and chemical hazards while maintaining thermo-physiological comfort. Typically, the outer layer of structural turnout gear is finished with a durable water and oil-repellent (DWR) based on per- and polyfluoroalkyl substances (PFAS) that helps limit exposure to water and hazardous liquids. The PFAS-based aqueous emulsion typically used in DWR finishes is highly persistent and can cause various health problems if absorbed into the body through ingestion, inhalation, and/or dermal absorption. In response, the U.S. Fire Service has begun using non-PFAS water repellants in firefighter turnout gear. This study aims to evaluate the performance of both traditional PFAS-based and alternative non-PFAS outer shell materials. The study involved exposing both PFAS-based and non-PFAS DWR outer shell materials in turnout composites to simulated job exposures (i.e., weathering, thermal exposure, and laundering) that artificially aged the materials. After exposures, samples were evaluated for repellency, durability, thermal protection, and surface chemistry analysis to determine any potential performance trade-offs that may exist. Non-PFAS outer shell fabrics were found not to be diesel/oil-repellent, posing a potential flammability hazard if exposed to diesel and subsequent flame on an emergency response. Both PFAS-based and non-PFAS sets of fabrics performed similarly in terms of thermal protective performance, tearing strength, and water repellency. The surface analysis suggests that both PFAS and non-PFAS chemistries can degrade and shed from fabrics during the aging process. The study indicates that firefighters should be educated and trained regarding the potential performance trade-offs, such as oil absorption and flammability concerns when transitioning to non-PFAS outer shell materials.
{"title":"Toward the future of firefighter gear: Assessing fluorinated and non-fluorinated outer shells following simulated on-the-job exposures.","authors":"Nur-Us-Shafa Mazumder, Jingtian Lu, Andrew Stephen Hall, Arash Kasebi, Arjunsing Girase, Farzaneh Masoud, Jeffrey O Stull, R Bryan Ormond","doi":"10.1177/15280837231217401","DOIUrl":"10.1177/15280837231217401","url":null,"abstract":"<p><p>In 2022, the occupation of firefighting was categorized as a \"Group 1\" carcinogen, meaning it is known to be carcinogenic to humans. The personal protective equipment that structural firefighters wear is designed to safeguard them from thermal, physical, and chemical hazards while maintaining thermo-physiological comfort. Typically, the outer layer of structural turnout gear is finished with a durable water and oil-repellent (DWR) based on per- and polyfluoroalkyl substances (PFAS) that helps limit exposure to water and hazardous liquids. The PFAS-based aqueous emulsion typically used in DWR finishes is highly persistent and can cause various health problems if absorbed into the body through ingestion, inhalation, and/or dermal absorption. In response, the U.S. Fire Service has begun using non-PFAS water repellants in firefighter turnout gear. This study aims to evaluate the performance of both traditional PFAS-based and alternative non-PFAS outer shell materials. The study involved exposing both PFAS-based and non-PFAS DWR outer shell materials in turnout composites to simulated job exposures (i.e., weathering, thermal exposure, and laundering) that artificially aged the materials. After exposures, samples were evaluated for repellency, durability, thermal protection, and surface chemistry analysis to determine any potential performance trade-offs that may exist. Non-PFAS outer shell fabrics were found not to be diesel/oil-repellent, posing a potential flammability hazard if exposed to diesel and subsequent flame on an emergency response. Both PFAS-based and non-PFAS sets of fabrics performed similarly in terms of thermal protective performance, tearing strength, and water repellency. The surface analysis suggests that both PFAS and non-PFAS chemistries can degrade and shed from fabrics during the aging process. The study indicates that firefighters should be educated and trained regarding the potential performance trade-offs, such as oil absorption and flammability concerns when transitioning to non-PFAS outer shell materials.</p>","PeriodicalId":16097,"journal":{"name":"Journal of Industrial Textiles","volume":"53 ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10962281/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140288329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the popularity of 5 G, there is an increasing request for a light, high-performance, and stable structure for wireless communication. To solve the problems of delamination cracking and its own heavy weight of the conventional microstrip antenna, this study used ultra-high molecular weight polyethylene (UHMWPE) filament tows and purple copper filament tows as raw materials to prepare 3D woven hollow structure microstrip antenna preforms on a common loom. Using the prepared preforms for reinforcement and resin as the matrix, the VARTM process was used to prepare a 3D woven hollow structure microstrip antenna with a height of 6.8 mm, a weight of 35 g, and a bulk density of 0.7 g/cm3. The combination of the electromagnetic performance test and HFSS software simulation shows that the antenna has excellent radiation performance with a gain of 7.5 dB and a measured VSWR of 1.25. The mechanical performance test results show that it can withstand a maximum compression load of 2982 N and a maximum bending load of 364 N with no obvious delamination at the fracture. It is light, thin, and load-bearing with excellent radiation performance. There will be great potential in the unmanned field and the space field in the future.
{"title":"Preparation and electromagnetic performance of a light-weight, thin, and high-gain three-dimensional woven hollow structure microstrip antenna","authors":"Lihua Lyu, Rongrui Wang, Duoduo Zhang, Xing-lin Zhou, Yuan Gao","doi":"10.1177/15280837231187159","DOIUrl":"https://doi.org/10.1177/15280837231187159","url":null,"abstract":"With the popularity of 5 G, there is an increasing request for a light, high-performance, and stable structure for wireless communication. To solve the problems of delamination cracking and its own heavy weight of the conventional microstrip antenna, this study used ultra-high molecular weight polyethylene (UHMWPE) filament tows and purple copper filament tows as raw materials to prepare 3D woven hollow structure microstrip antenna preforms on a common loom. Using the prepared preforms for reinforcement and resin as the matrix, the VARTM process was used to prepare a 3D woven hollow structure microstrip antenna with a height of 6.8 mm, a weight of 35 g, and a bulk density of 0.7 g/cm3. The combination of the electromagnetic performance test and HFSS software simulation shows that the antenna has excellent radiation performance with a gain of 7.5 dB and a measured VSWR of 1.25. The mechanical performance test results show that it can withstand a maximum compression load of 2982 N and a maximum bending load of 364 N with no obvious delamination at the fracture. It is light, thin, and load-bearing with excellent radiation performance. There will be great potential in the unmanned field and the space field in the future.","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":"48244664","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: 10.1177/15280837231199259
Hong Wang, Qi Chen, Miaomiao Chen, Jiu Zheng Zhang, Yu Sheng Liu
The needle punched nonwoven fabrics are widely used as the flue gas filter materials while continuous efforts have been made to improve the filtration efficiency in order to meet the low emission requirement. In this study, filter materials with high filtration efficiency were developed via glass fiber foam laying and PTFE (polytetrafluoroethylene) emulsion coating process. Influences of surfactant type, fiber diameter and fiber content on the foam-ability and foam stability of glass fibers were analyzed. The resulting filter materials, obtained here for the first time with glass fiber foam laden and PTFE emulsion coated needle punched nonwoven fabrics, were characterized for morphology, pore size, air permeability, wear resistance and filtration properties. The results were compared against structures obtained from needle punched nonwoven fabrics before and PTFE emulsion coating. Remarkably, compared to untreated and PTFE emulsion coated needle punched nonwoven fabrics, the glass fiber foam laden and PTFE emulsion coated fabrics displayed higher filtration efficiency and lower outlet particle concentration. Overall, glass fiber foam laying is found to be effective to improve the filtration performance of needle punched nonwoven fabrics and is promising to be commercialized after optimizing the foam composition and PTFE emulsion coating process.
{"title":"Novel filter material by glass fiber foam laying for nonwoven fabrics","authors":"Hong Wang, Qi Chen, Miaomiao Chen, Jiu Zheng Zhang, Yu Sheng Liu","doi":"10.1177/15280837231199259","DOIUrl":"https://doi.org/10.1177/15280837231199259","url":null,"abstract":"The needle punched nonwoven fabrics are widely used as the flue gas filter materials while continuous efforts have been made to improve the filtration efficiency in order to meet the low emission requirement. In this study, filter materials with high filtration efficiency were developed via glass fiber foam laying and PTFE (polytetrafluoroethylene) emulsion coating process. Influences of surfactant type, fiber diameter and fiber content on the foam-ability and foam stability of glass fibers were analyzed. The resulting filter materials, obtained here for the first time with glass fiber foam laden and PTFE emulsion coated needle punched nonwoven fabrics, were characterized for morphology, pore size, air permeability, wear resistance and filtration properties. The results were compared against structures obtained from needle punched nonwoven fabrics before and PTFE emulsion coating. Remarkably, compared to untreated and PTFE emulsion coated needle punched nonwoven fabrics, the glass fiber foam laden and PTFE emulsion coated fabrics displayed higher filtration efficiency and lower outlet particle concentration. Overall, glass fiber foam laying is found to be effective to improve the filtration performance of needle punched nonwoven fabrics and is promising to be commercialized after optimizing the foam composition and PTFE emulsion coating process.","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":"47286325","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: 10.1177/15280837231186174
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: 10.1177/15280837231201380
Peng Jin, RT Jiang, Lei Shen
A new welding protective clothing system has been proposed to enhance the protective performance, comfort, and safety of welding protective clothing, considering the hazards associated with welding processes. The structure and fabric of the protective clothing carrier were redesigned, and a safety and protection system based on Internet of Things technology was developed. Objective tests and subjective evaluations were conducted on the protective clothing system. The results of objective tests showed that compared to regular welding protective clothing, the new protective clothing exhibited significant improvements in flame resistance, light resistance, and mechanical performance, with relatively lower vapor resistance. In subjective evaluations, the subjective evaluation scores (on a 5-point scale) of the new welding protective clothing were 26.46% and 27.95% higher than those of regular welding protective clothing, respectively ( p ≤ .05). Furthermore, the protective clothing system demonstrated a highly sensitive monitoring and feedback mechanism during testing, which can enhance workers’ ability to withstand risks and improve their psychological safety. The research on welding protective clothing with safety functions not only provides reference for innovative design of traditional welding protective clothing, but also lays a theoretical foundation for further research on other types of protective clothing.
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