Pub Date : 2023-10-04DOI: 10.1080/09243046.2023.2265785
Mahwash Mahar Gul, Khuram Shahzad Ahmad, Suliman A. Alderhami, Andrew Guy Thomas, Yasser T Alharbi, Laila Almanqur
AbstractThe ternary metal sulfide CoS2:Ni17S18:Al2S3 thin films were created in the presence of diethyldithiocarbamate as a sulfur source, pursued by physical vapour deposition. X-ray diffraction, scanning electron microscopy, X-ray photoelectron spectroscopy, UV-visible spectrophotometer, and Fourier transform infrared spectroscopy were used to identify and characterize the synthesised substances. The ternary metal sulfide had a mean crystallite size of 37.8 nm on the nanoscale. SEM revealed spherical particles with rounded edges particles. XPS presented Al 2p, Co 2p, Ni 2p and S 2p core level peaks of the elements. The ternary metal sulfide had a band gap energy of 3.49 eV. The phenomenal storage technology potential of the thin film was evaluated using cyclic voltammetry that revealed an astounding supercapacitance of 515 F g−1, demonstrating the material’s effectiveness. Voltammetric findings show the cycling stability of the nanoparticle thin film. Moreover, the photocatalytic degradation of contaminants such as methylene blue dye, pesticide zoxamide, and phenol was probed, with such a spectacular degradation rate constant of 4.11 × 10−2 min−1 with 91.5% degradation achieved for pesticide.Keywords: Supercapacitorenergy storagephotocatalystthin filmmetal sulfide AcknowledgementsAuthors express their gratitude to the Department of Environmental Sciences, Fatima Jinnah Women University, Pakistan for providing the technical and financial facilities needed for completion of this work. Authors also acknowledge the Higher Education Commission of Pakistan and Photon Science Institute, The University of Manchester, UK. The authors highly acknowledge Xuzhao Liu, PhD student, The University of Manchester, UK, for his tremendous help and assistance during the research. We are highly thankful to the Higher Education Commission of Pakistan for providing financial support for this research under NRPU project No. 15782.Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe data that support the findings of this study are available from the corresponding author, upon reasonable request.
{"title":"CoS <sub>2</sub> :Ni <sub>17</sub> S <sub>18</sub> :Al <sub>2</sub> S <sub>3</sub> thin film as supercapacitor electrode for astounding energy storage and explicit photocatalyst for pollutants degradation","authors":"Mahwash Mahar Gul, Khuram Shahzad Ahmad, Suliman A. Alderhami, Andrew Guy Thomas, Yasser T Alharbi, Laila Almanqur","doi":"10.1080/09243046.2023.2265785","DOIUrl":"https://doi.org/10.1080/09243046.2023.2265785","url":null,"abstract":"AbstractThe ternary metal sulfide CoS2:Ni17S18:Al2S3 thin films were created in the presence of diethyldithiocarbamate as a sulfur source, pursued by physical vapour deposition. X-ray diffraction, scanning electron microscopy, X-ray photoelectron spectroscopy, UV-visible spectrophotometer, and Fourier transform infrared spectroscopy were used to identify and characterize the synthesised substances. The ternary metal sulfide had a mean crystallite size of 37.8 nm on the nanoscale. SEM revealed spherical particles with rounded edges particles. XPS presented Al 2p, Co 2p, Ni 2p and S 2p core level peaks of the elements. The ternary metal sulfide had a band gap energy of 3.49 eV. The phenomenal storage technology potential of the thin film was evaluated using cyclic voltammetry that revealed an astounding supercapacitance of 515 F g−1, demonstrating the material’s effectiveness. Voltammetric findings show the cycling stability of the nanoparticle thin film. Moreover, the photocatalytic degradation of contaminants such as methylene blue dye, pesticide zoxamide, and phenol was probed, with such a spectacular degradation rate constant of 4.11 × 10−2 min−1 with 91.5% degradation achieved for pesticide.Keywords: Supercapacitorenergy storagephotocatalystthin filmmetal sulfide AcknowledgementsAuthors express their gratitude to the Department of Environmental Sciences, Fatima Jinnah Women University, Pakistan for providing the technical and financial facilities needed for completion of this work. Authors also acknowledge the Higher Education Commission of Pakistan and Photon Science Institute, The University of Manchester, UK. The authors highly acknowledge Xuzhao Liu, PhD student, The University of Manchester, UK, for his tremendous help and assistance during the research. We are highly thankful to the Higher Education Commission of Pakistan for providing financial support for this research under NRPU project No. 15782.Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe data that support the findings of this study are available from the corresponding author, upon reasonable request.","PeriodicalId":7291,"journal":{"name":"Advanced Composite Materials","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135591961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-04DOI: 10.1080/09243046.2023.2262875
Sergio Arroyo Armida, Dariush Ebrahimibagha, Mallar Ray, Shubhabrata Datta
AbstractThermoelectric materials have been widely recognized as a simple approach to harness green energy by converting thermal gradients into electrical energy. However, the intricate interplay between electrical conductivity, Seebeck coefficient, and thermal conductivity in thermoelectric materials presents a challenge to improving their efficiency. Traditional experimental methods and calculation methods have troublesome steps and long cycles for predicting new thermoelectric materials. In this work we present materials informatics-based approach, where statistical and machine learning models like correlation matrix, multiple linear regression, principal component analysis and artificial neural network were employed to find the relationship between features and thermoelectric performance. Furthermore, artificial neural network was used to analyze the roles of several compositional and microstructural features along with temperature on electrical conductivity, thermal conductivity, Seebeck coefficient and thermoelectric figure of merit (ZT) for PANI and quasi 0D carbon-based composites.Keywords: Nanocompositespolyanilinecarbon nanostructuresmaterials informaticsthermoelectric performancemachine learningdata analytics AcknowledgmentsMR acknowledges the support of “University of Alberta-Tecnologico de Monterrey Seed Fund, 2022-2023” and SNI fellowship awarded by CONACyT (Grant ID 1047863).Disclosure statementNo potential conflict of interest was reported by the authors.Data availability statementThe data can be requested and accessed from the authors.
摘要热电材料已被广泛认为是利用绿色能源的一种简单方法，它将热梯度转化为电能。然而，热电材料的导电性、塞贝克系数和导热系数之间复杂的相互作用对提高其效率提出了挑战。传统的实验方法和计算方法对新型热电材料的预测步骤繁琐，周期长。在这项工作中，我们提出了基于材料信息学的方法，其中使用统计和机器学习模型，如相关矩阵，多元线性回归，主成分分析和人工神经网络来寻找特征与热电性能之间的关系。此外，利用人工神经网络分析了几种成分和微观结构特征随温度变化对聚苯胺和准零碳基复合材料的电导率、导热系数、塞贝克系数和热电优值(ZT)的影响。关键词:纳米复合材料聚苯胺碳纳米结构材料信息学热电性能机器学习数据分析致谢smr感谢“阿尔伯塔大学蒙特雷种子基金，2022-2023”的支持和CONACyT授予的SNI奖学金(Grant ID 1047863)。披露声明作者未报告潜在的利益冲突。数据可用性声明可以向作者请求和访问数据。
{"title":"Assessing thermoelectric performance of quasi 0D carbon and polyaniline nanocomposites using machine learning","authors":"Sergio Arroyo Armida, Dariush Ebrahimibagha, Mallar Ray, Shubhabrata Datta","doi":"10.1080/09243046.2023.2262875","DOIUrl":"https://doi.org/10.1080/09243046.2023.2262875","url":null,"abstract":"AbstractThermoelectric materials have been widely recognized as a simple approach to harness green energy by converting thermal gradients into electrical energy. However, the intricate interplay between electrical conductivity, Seebeck coefficient, and thermal conductivity in thermoelectric materials presents a challenge to improving their efficiency. Traditional experimental methods and calculation methods have troublesome steps and long cycles for predicting new thermoelectric materials. In this work we present materials informatics-based approach, where statistical and machine learning models like correlation matrix, multiple linear regression, principal component analysis and artificial neural network were employed to find the relationship between features and thermoelectric performance. Furthermore, artificial neural network was used to analyze the roles of several compositional and microstructural features along with temperature on electrical conductivity, thermal conductivity, Seebeck coefficient and thermoelectric figure of merit (ZT) for PANI and quasi 0D carbon-based composites.Keywords: Nanocompositespolyanilinecarbon nanostructuresmaterials informaticsthermoelectric performancemachine learningdata analytics AcknowledgmentsMR acknowledges the support of “University of Alberta-Tecnologico de Monterrey Seed Fund, 2022-2023” and SNI fellowship awarded by CONACyT (Grant ID 1047863).Disclosure statementNo potential conflict of interest was reported by the authors.Data availability statementThe data can be requested and accessed from the authors.","PeriodicalId":7291,"journal":{"name":"Advanced Composite Materials","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135592591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-18DOI: 10.1080/09243046.2023.2260233
Naruki Ichihara, Masahito Ueda, Kentaro Kajiwara, Antoine Le Duigou, Mickael Castro
AbstractThe 3D printing of continuous carbon fiber–reinforced thermoplastics (c-CFRTP) results in fiber waviness and voids that limit mechanical performance. The effects of tensioning and compaction forces during 3D printing were experimentally studied to suppress fiber waviness. A tensioning force was generated along the filament to straighten the fibers by asynchronously controlling the filament feeding and print speeds. A compaction force was applied through the nozzle tip by setting the layer height to reduce the voids. Microscopic images of specimen cross-sections and surfaces indicated a reduction in fiber waviness and voids after these treatments, and three-point bending tests demonstrated improved mechanical properties. This combination of tensioning and compaction forces achieved 28% and 45% higher bending stiffness and strength, respectively. Tensioning and compaction forces are important printing parameters for the 3D printing of high-performance c-CFRTP.Keywords: Polymer-matrix compositesmechanical propertiesmechanical testing3D printing Disclosure statementNo potential conflict of interest was reported by the authors.Data availability statementThe data that support the findings of this study are available from the corresponding author, N. Ichihara, upon reasonable request.Additional informationFundingThis work was supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI (Grant No. 22K20415). The synchrotron radiation experiments were performed at BL46XU of SPring-8 with the approval of the Japan Synchrotron Radiation Research Institute (JASRI) (Proposal No. 2018B1842).
{"title":"3D printing with tension and compaction: prevention of fiber waviness in 3D-printed continuous carbon fiber–reinforced thermoplastics","authors":"Naruki Ichihara, Masahito Ueda, Kentaro Kajiwara, Antoine Le Duigou, Mickael Castro","doi":"10.1080/09243046.2023.2260233","DOIUrl":"https://doi.org/10.1080/09243046.2023.2260233","url":null,"abstract":"AbstractThe 3D printing of continuous carbon fiber–reinforced thermoplastics (c-CFRTP) results in fiber waviness and voids that limit mechanical performance. The effects of tensioning and compaction forces during 3D printing were experimentally studied to suppress fiber waviness. A tensioning force was generated along the filament to straighten the fibers by asynchronously controlling the filament feeding and print speeds. A compaction force was applied through the nozzle tip by setting the layer height to reduce the voids. Microscopic images of specimen cross-sections and surfaces indicated a reduction in fiber waviness and voids after these treatments, and three-point bending tests demonstrated improved mechanical properties. This combination of tensioning and compaction forces achieved 28% and 45% higher bending stiffness and strength, respectively. Tensioning and compaction forces are important printing parameters for the 3D printing of high-performance c-CFRTP.Keywords: Polymer-matrix compositesmechanical propertiesmechanical testing3D printing Disclosure statementNo potential conflict of interest was reported by the authors.Data availability statementThe data that support the findings of this study are available from the corresponding author, N. Ichihara, upon reasonable request.Additional informationFundingThis work was supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI (Grant No. 22K20415). The synchrotron radiation experiments were performed at BL46XU of SPring-8 with the approval of the Japan Synchrotron Radiation Research Institute (JASRI) (Proposal No. 2018B1842).","PeriodicalId":7291,"journal":{"name":"Advanced Composite Materials","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135149750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-04DOI: 10.1080/09243046.2023.2253401
Pham Thi Hong Nga, Nguyen Van Thuc
{"title":"Effect of Ethylene-Vinyl Acetate on the properties of Polybutylene Terephthalate/ Ethylene-Vinyl Acetate polymer blends","authors":"Pham Thi Hong Nga, Nguyen Van Thuc","doi":"10.1080/09243046.2023.2253401","DOIUrl":"https://doi.org/10.1080/09243046.2023.2253401","url":null,"abstract":"","PeriodicalId":7291,"journal":{"name":"Advanced Composite Materials","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45802396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-28DOI: 10.1080/09243046.2023.2238489
Ahmad Zuhair Bin Zakaria, Takuya Takahashi, A. Todoroki, M. Ueda
{"title":"Kink band orientation of 3D printed continuous carbon fiber composites under compressive loading","authors":"Ahmad Zuhair Bin Zakaria, Takuya Takahashi, A. Todoroki, M. Ueda","doi":"10.1080/09243046.2023.2238489","DOIUrl":"https://doi.org/10.1080/09243046.2023.2238489","url":null,"abstract":"","PeriodicalId":7291,"journal":{"name":"Advanced Composite Materials","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44668609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-12DOI: 10.1080/09243046.2023.2246794
B. Jang
{"title":"Practical method for localizing low-velocity impact on a UAV composite wingbox structure under loading conditions","authors":"B. Jang","doi":"10.1080/09243046.2023.2246794","DOIUrl":"https://doi.org/10.1080/09243046.2023.2246794","url":null,"abstract":"","PeriodicalId":7291,"journal":{"name":"Advanced Composite Materials","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45509847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-12DOI: 10.1080/09243046.2023.2245210
F. Tanaka, T. Ishikawa, M. Tane
{"title":"A comprehensive review of the elastic constants of carbon fibers: implications for design and manufacturing of high-performance composite materials","authors":"F. Tanaka, T. Ishikawa, M. Tane","doi":"10.1080/09243046.2023.2245210","DOIUrl":"https://doi.org/10.1080/09243046.2023.2245210","url":null,"abstract":"","PeriodicalId":7291,"journal":{"name":"Advanced Composite Materials","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44675631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-30DOI: 10.1080/09243046.2023.2230687
Natsuko Kudo, Ryohei Fujita, Y. Oya, T. Sakai, H. Nagano, J. Koyanagi
{"title":"Identification of invisible fatigue damage of thermosetting epoxy resin by non-destructive thermal measurement using entropy generation","authors":"Natsuko Kudo, Ryohei Fujita, Y. Oya, T. Sakai, H. Nagano, J. Koyanagi","doi":"10.1080/09243046.2023.2230687","DOIUrl":"https://doi.org/10.1080/09243046.2023.2230687","url":null,"abstract":"","PeriodicalId":7291,"journal":{"name":"Advanced Composite Materials","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47048955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：