Pub Date : 2023-11-02DOI: 10.1080/00405000.2023.2274639
Zahra Moshtaghian, Hossein Hasani, Mohammad Zarrebini
AbstractThe paper aims to simulate the auxetic and non-auxetic behavior of 3D composites reinforced with multi-cell flat-knitted spacer fabrics. Spacer weft knitted preforms were fabricated on an electronic flat knitting machine. 3D knitted composite samples with re-entrant, regular hexagonal and spear-head geometries, were prepared via vacuumed assisted resin transfer molding method. Using a cross-over geometrical model surrounded by a rigid resin cube, the composite unit-cell was designed in Abaqus software’s environment. Chamis micromechanical model was then used to determine the elastic constants of composite unit-cell. Meso-macro finite element analysis was used to simulate the response of the 3D composites to compressive loading. The results revealed that the Poisson’s ratio of re-entrant and hexagonal 3D knitted composite varied between −6 and −1 and 1.6 to 3.8, respectively. Also, the Poisson’s ratio of spear-head knitted composite was measured as zero. The proposed model was used to verify the predicted compressive behavior and Poisson’s ratio of the prepared composite samples. For hexagonal knitted composite, the proposed model demonstrated a good agreement with the experimental results. The Poisson’s ratio-strain curve obtained for 3D re-entrant knitted composite is highly compatible to those due to modelling results in strain range of about 5.8 to 22.5%. Also, for 3D spear-head knitted composite, the modelling results are not compatible to experimental method at strain values over 6%.Keywords: Auxetic materialsPoisson’s ratiomulti-cell flat-knitted spacer fabricsfinite element method Disclosure statementNo potential conflict of interest was reported by the authors.
{"title":"A simulation approach to auxetic and non-auxetic behavior of 3D composites produced with multi-cell flat-knitted spacer fabrics","authors":"Zahra Moshtaghian, Hossein Hasani, Mohammad Zarrebini","doi":"10.1080/00405000.2023.2274639","DOIUrl":"https://doi.org/10.1080/00405000.2023.2274639","url":null,"abstract":"AbstractThe paper aims to simulate the auxetic and non-auxetic behavior of 3D composites reinforced with multi-cell flat-knitted spacer fabrics. Spacer weft knitted preforms were fabricated on an electronic flat knitting machine. 3D knitted composite samples with re-entrant, regular hexagonal and spear-head geometries, were prepared via vacuumed assisted resin transfer molding method. Using a cross-over geometrical model surrounded by a rigid resin cube, the composite unit-cell was designed in Abaqus software’s environment. Chamis micromechanical model was then used to determine the elastic constants of composite unit-cell. Meso-macro finite element analysis was used to simulate the response of the 3D composites to compressive loading. The results revealed that the Poisson’s ratio of re-entrant and hexagonal 3D knitted composite varied between −6 and −1 and 1.6 to 3.8, respectively. Also, the Poisson’s ratio of spear-head knitted composite was measured as zero. The proposed model was used to verify the predicted compressive behavior and Poisson’s ratio of the prepared composite samples. For hexagonal knitted composite, the proposed model demonstrated a good agreement with the experimental results. The Poisson’s ratio-strain curve obtained for 3D re-entrant knitted composite is highly compatible to those due to modelling results in strain range of about 5.8 to 22.5%. Also, for 3D spear-head knitted composite, the modelling results are not compatible to experimental method at strain values over 6%.Keywords: Auxetic materialsPoisson’s ratiomulti-cell flat-knitted spacer fabricsfinite element method Disclosure statementNo potential conflict of interest was reported by the authors.","PeriodicalId":49978,"journal":{"name":"Journal of the Textile Institute","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135934492","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 : 2023-10-31DOI: 10.1080/00405000.2023.2275100
Morteza Vadood, Hedieh Gholami
{"title":"Finite element modeling of tensile behavior for different woven fabrics","authors":"Morteza Vadood, Hedieh Gholami","doi":"10.1080/00405000.2023.2275100","DOIUrl":"https://doi.org/10.1080/00405000.2023.2275100","url":null,"abstract":"","PeriodicalId":49978,"journal":{"name":"Journal of the Textile Institute","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135872725","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}
AbstractOrgano-phosphorous pesticide removal was evaluated using cork fibers. In this study, three cork fibers were doped with nanomaterials (graphene, TiO2 and ZnO) and used as filtration. To obtain an optimized condition different pH and temperatures were tested. Diazinon, chlorpyrifos and carbaryl are three pesticides which were removed by treating cork composite in pH 4, 7 and 10. The results show that acidic pH has better effect on removing pesticide. On the other hand, The time from 0 to 600 min was tested for each sample to gain best time for the removal. By achieving the optimized condition (pH and time), the effect of temperature was investigated, and the results show that at 30 °C the maximum removal of pesticide was achieved. Samples were analyzed by field emission scanning electron microscopy, EDX and elemental mapping, and finally, the results conclude that due to porosity of cork and nanomaterial properties, this method has excellent effect on the removal of pesticide.Keywords: Cork fiberspesticidenanographenenano-TiO2nano-ZnO AcknowledgmentsThe authors do not express their gratitude to anyone.Ethical approvalDisclosure statementAll authors declare that they have no conflicts of interest.Data availability statementData are available on request from the authors.The authors confirm that all the research meets ethical guidelines and adhere to the legal requirements of the study country. The research does not involve any human or animal welfare related issues.Additional informationFundingNo funding was provided; the authors have paid privately.
{"title":"Doping cork fibers with nanomaterials for the removal of organo-phosphorous pesticide","authors":"Fatemeh Naddafiun, Salar Zohoori, Farzaneh Yamin, Narges Torabi, Fahimeh Chadorkafoor, Roshan Nasiripoor, Yasaman Jalalian","doi":"10.1080/00405000.2023.2274627","DOIUrl":"https://doi.org/10.1080/00405000.2023.2274627","url":null,"abstract":"AbstractOrgano-phosphorous pesticide removal was evaluated using cork fibers. In this study, three cork fibers were doped with nanomaterials (graphene, TiO2 and ZnO) and used as filtration. To obtain an optimized condition different pH and temperatures were tested. Diazinon, chlorpyrifos and carbaryl are three pesticides which were removed by treating cork composite in pH 4, 7 and 10. The results show that acidic pH has better effect on removing pesticide. On the other hand, The time from 0 to 600 min was tested for each sample to gain best time for the removal. By achieving the optimized condition (pH and time), the effect of temperature was investigated, and the results show that at 30 °C the maximum removal of pesticide was achieved. Samples were analyzed by field emission scanning electron microscopy, EDX and elemental mapping, and finally, the results conclude that due to porosity of cork and nanomaterial properties, this method has excellent effect on the removal of pesticide.Keywords: Cork fiberspesticidenanographenenano-TiO2nano-ZnO AcknowledgmentsThe authors do not express their gratitude to anyone.Ethical approvalDisclosure statementAll authors declare that they have no conflicts of interest.Data availability statementData are available on request from the authors.The authors confirm that all the research meets ethical guidelines and adhere to the legal requirements of the study country. The research does not involve any human or animal welfare related issues.Additional informationFundingNo funding was provided; the authors have paid privately.","PeriodicalId":49978,"journal":{"name":"Journal of the Textile Institute","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135813334","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 : 2023-10-31DOI: 10.1080/00405000.2023.2272789
M. H. Boroomand, A. Alamdar-Yazdi, M. S. Ahmadi
Abstract3D textile reinforced composites have some advantages over common 2D composites due to their unique mechanical properties. In this research, five composite samples with different percentages of jute and high tenacity polyethylene terephthalate fibers in the form of three-dimensional orthogonal woven fabrics were designed by TexGen software in meso and macro scales, and their tensile, flexural, and impact behaviors were analyzed by the finite element method in Abaqus software. The results were in good agreement with the experimental results. The mean errors between experimental and numerical results were 11% for tensile strain, 9% for tensile strength, 8% for Young’s modulus, 9.8% for tensile toughness, 6% for elastic flexural energy, 5.7% for flexural modulus, and 19.8% for impact resistance.Keywords: Hybrid composite3D orthogonalmechanical propertiesfinite elementjute Disclosure statementNo potential conflict of interest was reported by the authors.
{"title":"Numerical simulation of tensile, flexural, and impact behavior of three dimensional orthogonal hybrid jute/HTPET woven fabric composites","authors":"M. H. Boroomand, A. Alamdar-Yazdi, M. S. Ahmadi","doi":"10.1080/00405000.2023.2272789","DOIUrl":"https://doi.org/10.1080/00405000.2023.2272789","url":null,"abstract":"Abstract3D textile reinforced composites have some advantages over common 2D composites due to their unique mechanical properties. In this research, five composite samples with different percentages of jute and high tenacity polyethylene terephthalate fibers in the form of three-dimensional orthogonal woven fabrics were designed by TexGen software in meso and macro scales, and their tensile, flexural, and impact behaviors were analyzed by the finite element method in Abaqus software. The results were in good agreement with the experimental results. The mean errors between experimental and numerical results were 11% for tensile strain, 9% for tensile strength, 8% for Young’s modulus, 9.8% for tensile toughness, 6% for elastic flexural energy, 5.7% for flexural modulus, and 19.8% for impact resistance.Keywords: Hybrid composite3D orthogonalmechanical propertiesfinite elementjute Disclosure statementNo potential conflict of interest was reported by the authors.","PeriodicalId":49978,"journal":{"name":"Journal of the Textile Institute","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135813205","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 : 2023-10-30DOI: 10.1080/00405000.2023.2272330
Omender Singh, Jaya Sharma, Prabhjot Singh, Bijoya Kumar Behera
AbstractThis research focused on the development of a honeycomb fabric by predicting the areal density suitable for aircrew helmet liner. The aim was to fulfill the requirements for the lightweight and mechanical properties of composite liner. The model was based on the structural characteristics of the preform, including the weave design and geometric parameters. The predicted areal density, based on varying yarn linear density and the number of picks in the free and bonded wall, was compared to experimental results and showed good agreement. A geometric model was derived to predict the areal density of 3D woven honeycomb preforms for producing the composite liner of aircrew helmet. The model was validated using experimental data from a variety of 3D woven honeycomb preforms, showing that it accurately predicts the areal density and can be used as a tool to design 3D woven honeycomb preforms for advanced composites.Keywords: Aircrew helmet liner3D woven honeycomb fabricareal densitylightweight compositegeometrical modeling AcknowledgmentsWe are grateful to the Defence Research & Development Organisation (DRDO) for sponsoring the project (Project code-RP04187) at the Focus Incubation Centre of 3D Weaving and Structural Composites, Indian Institute of Technology Delhi.Disclosure statementNo potential conflict of interest was reported by the authors.
{"title":"Geometrical modeling and experimental validation of 3D woven honeycomb fabric for lightweight aircrew helmet liner manufacturing","authors":"Omender Singh, Jaya Sharma, Prabhjot Singh, Bijoya Kumar Behera","doi":"10.1080/00405000.2023.2272330","DOIUrl":"https://doi.org/10.1080/00405000.2023.2272330","url":null,"abstract":"AbstractThis research focused on the development of a honeycomb fabric by predicting the areal density suitable for aircrew helmet liner. The aim was to fulfill the requirements for the lightweight and mechanical properties of composite liner. The model was based on the structural characteristics of the preform, including the weave design and geometric parameters. The predicted areal density, based on varying yarn linear density and the number of picks in the free and bonded wall, was compared to experimental results and showed good agreement. A geometric model was derived to predict the areal density of 3D woven honeycomb preforms for producing the composite liner of aircrew helmet. The model was validated using experimental data from a variety of 3D woven honeycomb preforms, showing that it accurately predicts the areal density and can be used as a tool to design 3D woven honeycomb preforms for advanced composites.Keywords: Aircrew helmet liner3D woven honeycomb fabricareal densitylightweight compositegeometrical modeling AcknowledgmentsWe are grateful to the Defence Research & Development Organisation (DRDO) for sponsoring the project (Project code-RP04187) at the Focus Incubation Centre of 3D Weaving and Structural Composites, Indian Institute of Technology Delhi.Disclosure statementNo potential conflict of interest was reported by the authors.","PeriodicalId":49978,"journal":{"name":"Journal of the Textile Institute","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136023222","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 : 2023-10-26DOI: 10.1080/00405000.2023.2274383
Ruimin Xie, Yuxiang Liu, Xiwen He, Yumei Zhang, Huaping Wang
{"title":"Structural properties and diameter prediction of fine denier polyester fiber based on machine learning algorithms","authors":"Ruimin Xie, Yuxiang Liu, Xiwen He, Yumei Zhang, Huaping Wang","doi":"10.1080/00405000.2023.2274383","DOIUrl":"https://doi.org/10.1080/00405000.2023.2274383","url":null,"abstract":"","PeriodicalId":49978,"journal":{"name":"Journal of the Textile Institute","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134908692","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 : 2023-10-23DOI: 10.1080/00405000.2023.2271207
Afifa-tul- Ain, Awais Khatri, Shamshad Ali, Farooq Ahmed
AbstractElectrospun polyurethane nanofibrous mats are used in stretchable, flexible, memory and other technical materials. Lately, their potential for aesthetic purposes has been explored, and various dyeing techniques, as an additional process, and the environmental impact have been reported. Herein, the dope dyeing technique of polyurethane electrospun nanofibers with disperse dyes is reported as a part of the electrospinning process. Dope dyeing when compared to other techniques consumes lesser time, reduced cost and environmental impact, and produces better color and uniformity. The preparation of dope solution, electrospinning and post dye curing processes was optimized for producing the colored polyurethane nanofibrous mat. Dope-dyed polyurethane nanofibrous mats produced good colored yield and colorfastness results. Moreover, the morphology of undyed and dyed polyurethane nanofibers was similar as observed in the SEM analysis and presence of the dye molecules were evident in the FTIR analysis.Keywords: Polyurethanenanofiberselectrospinningdope dyeingdisperse dyes AcknowledgmentsAuthors acknowledge Archroma Pakistan Ltd. for providing the dyes and chemicals.Disclosure statementWe declare that we have no conflict of competing, financial or other interest for the research work and data presented in this article.Additional informationFundingThis research work was supported by Higher Education Commission, Pakistan under the ‘National Research Program for University’ project (NRPU-6866) and Mehran University of Engineering and Technology Jamshoro Pakistan.
{"title":"Dope-dyed polyurethane electrospun nanofibers","authors":"Afifa-tul- Ain, Awais Khatri, Shamshad Ali, Farooq Ahmed","doi":"10.1080/00405000.2023.2271207","DOIUrl":"https://doi.org/10.1080/00405000.2023.2271207","url":null,"abstract":"AbstractElectrospun polyurethane nanofibrous mats are used in stretchable, flexible, memory and other technical materials. Lately, their potential for aesthetic purposes has been explored, and various dyeing techniques, as an additional process, and the environmental impact have been reported. Herein, the dope dyeing technique of polyurethane electrospun nanofibers with disperse dyes is reported as a part of the electrospinning process. Dope dyeing when compared to other techniques consumes lesser time, reduced cost and environmental impact, and produces better color and uniformity. The preparation of dope solution, electrospinning and post dye curing processes was optimized for producing the colored polyurethane nanofibrous mat. Dope-dyed polyurethane nanofibrous mats produced good colored yield and colorfastness results. Moreover, the morphology of undyed and dyed polyurethane nanofibers was similar as observed in the SEM analysis and presence of the dye molecules were evident in the FTIR analysis.Keywords: Polyurethanenanofiberselectrospinningdope dyeingdisperse dyes AcknowledgmentsAuthors acknowledge Archroma Pakistan Ltd. for providing the dyes and chemicals.Disclosure statementWe declare that we have no conflict of competing, financial or other interest for the research work and data presented in this article.Additional informationFundingThis research work was supported by Higher Education Commission, Pakistan under the ‘National Research Program for University’ project (NRPU-6866) and Mehran University of Engineering and Technology Jamshoro Pakistan.","PeriodicalId":49978,"journal":{"name":"Journal of the Textile Institute","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135412818","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 : 2023-10-20DOI: 10.1080/00405000.2023.2265608
Surajit Sengupta, Nilimesh Mridha, Papai Ghosh, Izhar Mustafa
AbstractIn this study, an attempt has been made to improve the strength and impermeability of jute bonded nonwoven from 95 to 285 g/m2 areal density by single side or both side lamination with polyethylene sheet of around 15 − 20% by weight using Ethylene Vinyle Acetate adhesive film. Preheating of nonwoven with 100 °C for 20 min and three subsequent runs show a higher peeling force. Adding poly sheets on nonwoven increases tenacity, total energy, bending modulus, seam strength, and tear strength but reduces thermal insulation and makes air and water permeability zero. The effect of one-side lamination, both-side lamination, and areal density of nonwoven has been studied. Higher g/m2 of a nonwoven shows better properties than lower gsm for single-side lamination. The performance of the bag made out of optimised lightweight fabric has been evaluated and compared with the commercial synthetic counterpart, and observed that the developed fabric is better. A process has been suggested without needling. For that light-weight fabric, calendaring temperature, pressure, and speed have been optimised as 150/120 °C, 20KPa, and 0.75 m/min, respectively.Keywords: Jutelaminationnonwovenpackagingproperties Disclosure statementNo potential conflict of interest was reported by the author(s).
{"title":"Jute nonwoven-based hybrid fabric for flexible and impermeable packaging","authors":"Surajit Sengupta, Nilimesh Mridha, Papai Ghosh, Izhar Mustafa","doi":"10.1080/00405000.2023.2265608","DOIUrl":"https://doi.org/10.1080/00405000.2023.2265608","url":null,"abstract":"AbstractIn this study, an attempt has been made to improve the strength and impermeability of jute bonded nonwoven from 95 to 285 g/m2 areal density by single side or both side lamination with polyethylene sheet of around 15 − 20% by weight using Ethylene Vinyle Acetate adhesive film. Preheating of nonwoven with 100 °C for 20 min and three subsequent runs show a higher peeling force. Adding poly sheets on nonwoven increases tenacity, total energy, bending modulus, seam strength, and tear strength but reduces thermal insulation and makes air and water permeability zero. The effect of one-side lamination, both-side lamination, and areal density of nonwoven has been studied. Higher g/m2 of a nonwoven shows better properties than lower gsm for single-side lamination. The performance of the bag made out of optimised lightweight fabric has been evaluated and compared with the commercial synthetic counterpart, and observed that the developed fabric is better. A process has been suggested without needling. For that light-weight fabric, calendaring temperature, pressure, and speed have been optimised as 150/120 °C, 20KPa, and 0.75 m/min, respectively.Keywords: Jutelaminationnonwovenpackagingproperties Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":49978,"journal":{"name":"Journal of the Textile Institute","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135569318","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 : 2023-10-19DOI: 10.1080/00405000.2023.2271202
Chuncheng Yang, Teng Li, Xingyu Wang, Xinzhuo Deng, Zhao Yuan, Letao Jiang, Yuefen Han, Lili Jia, Changjiang Liu, Hongchao Li
AbstractThe present research focuses on the influence of SiO2 and Al2O3 additives on the structure and dielectric properties of basalt glasses. Upon the introduction of SiO2 and Al2O3, all the prepared basalt glasses were found to exhibit a non-crystalline nature. The initial dielectric constant of the basalt glass without the addition of SiO2 and Al2O3 was 7.893. However, as the content of SiO2 and Al2O3 increased, the dielectric constant of the basalt glasses initially decreased, but then started to rise. Remarkably, the lowest dielectric constant, achieved with the addition of 1 wt% Al2O3, was measured at 6.561. Similarly, the lowest dielectric constant, attained with the addition of 1 wt% SiO2, was recorded at 6.368. This value was lower than that produced by Al2O3 addition. These findings provide a new perspective on the dielectric properties of basalt glasses and continuous basalt fibers.Keywords: Basalt glassamorphousdielectric properties Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis study received financial support from multiple sources, including the National Natural Science Foundation of China (Grant No. 52201178), the Student Science and Technology Fund’s Scientific Research Project (KAY202310), the Natural Science Research Project of Colleges and Universities in Hebei Province (Grant No. QN2022005), and the Guide Local for Scientific and Technological Development of Hebei Provincial Department of Science and Technology (206Z1501G).
{"title":"Effect of addition of SiO <sub>2</sub> and Al <sub>2</sub> O <sub>3</sub> on the dielectric properties of basalt glasses","authors":"Chuncheng Yang, Teng Li, Xingyu Wang, Xinzhuo Deng, Zhao Yuan, Letao Jiang, Yuefen Han, Lili Jia, Changjiang Liu, Hongchao Li","doi":"10.1080/00405000.2023.2271202","DOIUrl":"https://doi.org/10.1080/00405000.2023.2271202","url":null,"abstract":"AbstractThe present research focuses on the influence of SiO2 and Al2O3 additives on the structure and dielectric properties of basalt glasses. Upon the introduction of SiO2 and Al2O3, all the prepared basalt glasses were found to exhibit a non-crystalline nature. The initial dielectric constant of the basalt glass without the addition of SiO2 and Al2O3 was 7.893. However, as the content of SiO2 and Al2O3 increased, the dielectric constant of the basalt glasses initially decreased, but then started to rise. Remarkably, the lowest dielectric constant, achieved with the addition of 1 wt% Al2O3, was measured at 6.561. Similarly, the lowest dielectric constant, attained with the addition of 1 wt% SiO2, was recorded at 6.368. This value was lower than that produced by Al2O3 addition. These findings provide a new perspective on the dielectric properties of basalt glasses and continuous basalt fibers.Keywords: Basalt glassamorphousdielectric properties Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis study received financial support from multiple sources, including the National Natural Science Foundation of China (Grant No. 52201178), the Student Science and Technology Fund’s Scientific Research Project (KAY202310), the Natural Science Research Project of Colleges and Universities in Hebei Province (Grant No. QN2022005), and the Guide Local for Scientific and Technological Development of Hebei Provincial Department of Science and Technology (206Z1501G).","PeriodicalId":49978,"journal":{"name":"Journal of the Textile Institute","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135778509","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 : 2023-10-18DOI: 10.1080/00405000.2023.2269760
Abdullah Al Mamun, M. M. Nabi, Fahmida Islam, Mahathir Mohammad Bappy, Mohammad Abbas Uddin, Mohammad Sazzad Hossain, Amit Talukder
AbstractExamining fabric weave patterns (FWPs) is connected to image-based surface texture feature (STF) acquisition, which can be difficult due to the structural complexity of woven fabrics. Randomly capturing static images may not correlate with the entire STF of a fabric. Traditionally, FWPs analysis is conducted by human vision, which causes an intensive cognitive load. Ultimately, the human vision-based cognitive load leads to ineffective quality inspection and error-prone FWPs analysis results. Given the above challenges, this study proposes a new streamlined video-based FWPs recognition method by incorporating Bayesian-optimized convolutional neural network (Bayes Opt-CNN). Essentially, this method is capable of leveraging the spatiotemporal features of the fabric’s intricate surface structure. In this study, to validate the effectiveness of the proposed method, seven types of fabric structures were captured as streamline videos, which were then converted into sequences of image frames. Subsequently, the Bayesian optimization process was introduced to select the best hyperparameters during CNN-based supervised learning for pattern recognition. The evaluation demonstrates that the proposed method outperforms the benchmark method for identifying FWPs.Keywords: Bayesian optimizationconvolutional neural networksclassificationfabric pattern recognitionsurface texture featuresvideo data Disclosure statementNo potential conflict of interest was reported by the authors.
{"title":"Streamline video-based automatic fabric pattern recognition using Bayesian-optimized convolutional neural network","authors":"Abdullah Al Mamun, M. M. Nabi, Fahmida Islam, Mahathir Mohammad Bappy, Mohammad Abbas Uddin, Mohammad Sazzad Hossain, Amit Talukder","doi":"10.1080/00405000.2023.2269760","DOIUrl":"https://doi.org/10.1080/00405000.2023.2269760","url":null,"abstract":"AbstractExamining fabric weave patterns (FWPs) is connected to image-based surface texture feature (STF) acquisition, which can be difficult due to the structural complexity of woven fabrics. Randomly capturing static images may not correlate with the entire STF of a fabric. Traditionally, FWPs analysis is conducted by human vision, which causes an intensive cognitive load. Ultimately, the human vision-based cognitive load leads to ineffective quality inspection and error-prone FWPs analysis results. Given the above challenges, this study proposes a new streamlined video-based FWPs recognition method by incorporating Bayesian-optimized convolutional neural network (Bayes Opt-CNN). Essentially, this method is capable of leveraging the spatiotemporal features of the fabric’s intricate surface structure. In this study, to validate the effectiveness of the proposed method, seven types of fabric structures were captured as streamline videos, which were then converted into sequences of image frames. Subsequently, the Bayesian optimization process was introduced to select the best hyperparameters during CNN-based supervised learning for pattern recognition. The evaluation demonstrates that the proposed method outperforms the benchmark method for identifying FWPs.Keywords: Bayesian optimizationconvolutional neural networksclassificationfabric pattern recognitionsurface texture featuresvideo data Disclosure statementNo potential conflict of interest was reported by the authors.","PeriodicalId":49978,"journal":{"name":"Journal of the Textile Institute","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135883270","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}
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