The development of catalysts with high stability, easy recovery, and multiple active sites is a particularly challenging aspect of CO2 catalysis. In this study, several hydroxyl-functionalized ionic liquids (HPILs) with multiple active sites were developed to achieve efficient CO2 conversion from flue gas. We investigated the cycloaddition performance with CO2 using these HPILs as catalysts and allyl glycidyl ethers (AGE) as model substrates. Among these, the [TDMPH]I catalysts, featuring I− and hydroxyl active sites, achieved impressive product yields (98 %) and selectivity (>99 %) at 60 °C, 1 bar, and 5 mol% catalyst dosage over 4 h. Notably, this reaction was conducted under solvent-free conditions without the need for co-catalysts. Furthermore, these ionic liquids exhibit non-homogeneous catalyst characteristics, enabling efficient recovery via ethyl acetate crystallization, along with excellent cyclic stability and high activity.
{"title":"Efficient fixation of CO2 to cyclic carbonate using hydroxyl-functionalized protic ionic liquids with multiple ion pairs under mild conditions","authors":"Ziyang Xu, Fangfang Zhao, Yuanhao Wang, Ping Liu, Yulu Qu, Zhiyi Chen, Wanliang Yang, Tianxiang Zhao","doi":"10.1016/j.seppur.2024.130922","DOIUrl":"https://doi.org/10.1016/j.seppur.2024.130922","url":null,"abstract":"The development of catalysts with high stability, easy recovery, and multiple active sites is a particularly challenging aspect of CO<sub>2</sub> catalysis. In this study, several hydroxyl-functionalized ionic liquids (HPILs) with multiple active sites were developed to achieve efficient CO<sub>2</sub> conversion from flue gas. We investigated the cycloaddition performance with CO<sub>2</sub> using these HPILs as catalysts and allyl glycidyl ethers (AGE) as model substrates. Among these, the [TDMPH]I catalysts, featuring I<sup>−</sup> and hydroxyl active sites, achieved impressive product yields (98 %) and selectivity (>99 %) at 60 °C, 1 bar, and 5 mol% catalyst dosage over 4 h. Notably, this reaction was conducted under solvent-free conditions without the need for co-catalysts. Furthermore, these ionic liquids exhibit non-homogeneous catalyst characteristics, enabling efficient recovery via ethyl acetate crystallization, along with excellent cyclic stability and high activity.","PeriodicalId":427,"journal":{"name":"Separation and Purification Technology","volume":"81 1","pages":""},"PeriodicalIF":8.6,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142760764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2024-12-03DOI: 10.1016/j.cej.2024.158220
Weiyin Su, Zhonghui Guo, Zeyu Chang, Yuyu E, Wen Li, Jie Li, Shengguang Yuan, Xi Yao, Shengkun Yan, Mingguo Ma, Kun Wang, Jianxin Jiang
Oriented towards the industrialization of micro-electronic products, micro-channels suitable for micro and small electronic devices are committed to solving the issue of efficient thermal dissipation in the systems. Accordingly, research on integrating multifunctional thermal management composite materials for designing micro-channels has become a hot development trend. Notably, the design concept of efficient thermal dissipation micro-channel with the dual functional synergy of high thermal conductivity and passive radiation cooling was advanced. The compound of high thermal conductivity hexagonal boron nitride (h-BN) and high-elastic thermoplastic polyurethane (TPU) entrusts the micro-channel with a superb substrate with flexibility, stretchability, hydrophobicity, and high thermal conductivity. Draw support from a zero-energy consumption and environmentally friendly passive radiation cooling strategy, the micro-channel with a polyvinylidene fluoride/cellulose acetate (PVDF/CA) nanofiber film acquires an ultra-high reflectivity of up to 99.50 % (0.2–2.5 μm) and a high emissivity of 94.81 % (8–13 μm). The programmable patterned graphene oxide (GO) ink is assisted with high-viscosity natural Gleditsia sinensis polysaccharide (GSP) through 3D printing. Ultimately, a self-encapsulated, flexible, high thermal conductivity (0.42 W m-1K−1), passive radiation cooling micro-channel accumulated a temperature difference of 10.76 °C, potentially making a promising thermal management micro-channel system for development.
{"title":"Self-encapsulation ultra-soft micro-channel with high thermal conductivity and passive radiation cooling","authors":"Weiyin Su, Zhonghui Guo, Zeyu Chang, Yuyu E, Wen Li, Jie Li, Shengguang Yuan, Xi Yao, Shengkun Yan, Mingguo Ma, Kun Wang, Jianxin Jiang","doi":"10.1016/j.cej.2024.158220","DOIUrl":"https://doi.org/10.1016/j.cej.2024.158220","url":null,"abstract":"Oriented towards the industrialization of micro-electronic products, micro-channels suitable for micro and small electronic devices are committed to solving the issue of efficient thermal dissipation in the systems. Accordingly, research on integrating multifunctional thermal management composite materials for designing micro-channels has become a hot development trend. Notably, the design concept of efficient thermal dissipation micro-channel with the dual functional synergy of high thermal conductivity and passive radiation cooling was advanced. The compound of high thermal conductivity hexagonal boron nitride (h-BN) and high-elastic thermoplastic polyurethane (TPU) entrusts the micro-channel with a superb substrate with flexibility, stretchability, hydrophobicity, and high thermal conductivity. Draw support from a zero-energy consumption and environmentally friendly passive radiation cooling strategy, the micro-channel with a polyvinylidene fluoride/cellulose acetate (PVDF/CA) nanofiber film acquires an ultra-high reflectivity of up to 99.50 % (0.2–2.5 μm) and a high emissivity of 94.81 % (8–13 μm). The programmable patterned graphene oxide (GO) ink is assisted with high-viscosity natural <em>Gleditsia sinensis</em> polysaccharide (GSP) through 3D printing. Ultimately, a self-encapsulated, flexible, high thermal conductivity (0.42 W m<sup>-1</sup>K<sup>−1</sup>), passive radiation cooling micro-channel accumulated a temperature difference of 10.76 °C, potentially making a promising thermal management micro-channel system for development.","PeriodicalId":270,"journal":{"name":"Chemical Engineering Journal","volume":"8 1","pages":""},"PeriodicalIF":15.1,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142760290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2024-12-03DOI: 10.1016/j.rse.2024.114544
Yongmin Yang
Accurate estimation of evapotranspiration (ET) is essential for the precise quantification of energy and water budgets under climate change. Remote sensing ET models provide an effective way to map ET across different spatial and temporal scales. However, conductance-based ET models such as PML_V2 are associated with limited or no water stress constraints on soil evaporation and canopy transpiration that could cause significant bias for sparse vegetation in arid and semi-arid areas. To meet this challenge for using conductance-based ET models, we proposed to use shortwave infrared information to serve as a water stress constraint to vegetation transpiration and soil evaporation, and an improved ET model (PML_SWIR) was proposed. The PML_SWIR model was calibrated with ET measurements from 21 eddy covariance flux towers distributed across China, and showed good performance for estimating ET (R2 = 0.70 and RMSE = 0.72 mm/day) for the cross-validation dataset. PML_SWIR outperformed PML_V2 in estimating ET for arid and semi-arid areas, indicated by RMSE being 7.86 and 25.93 mm/year lower and bias being 4.74 and 16.63 % less compared with PML_V2(China) and PML_V2(Global) for ET estimation over Xinjiang Province. In addition, PML_SWIR was noticeably better than PML_V2 for depicting the ET patterns for these seasonal rivers in the arid areas. The ET values estimated by PML_SWIR were further compared with other ET products. The results indicated that PML_SWIR well characterized the ET pattern in arid and semi-arid areas, and the estimated ET values showed good agreement with the water balance-based ET (R2 = 0.87, RMSE = 91.37 mm/year) in major river basins of China. The PML_SWIR ET estimates indicated that 20.2 % of the area of China increased significantly in ET over the study period, mainly due to vegetation greening caused by cropland expansion and the large-scale afforestation program. Overall, our results demonstrated that the incorporation of SWIR-based water stress constraints into the conductance-based ET model was a very promising way for accurately mapping ET in arid and semi-arid areas, and that the PML_SWIR model was highly applicable to regional high spatiotemporal ET mapping.
{"title":"Estimating actual evapotranspiration across China by improving the PML algorithm with a shortwave infrared-based surface water stress constraint","authors":"Yongmin Yang","doi":"10.1016/j.rse.2024.114544","DOIUrl":"https://doi.org/10.1016/j.rse.2024.114544","url":null,"abstract":"Accurate estimation of evapotranspiration (ET) is essential for the precise quantification of energy and water budgets under climate change. Remote sensing ET models provide an effective way to map ET across different spatial and temporal scales. However, conductance-based ET models such as PML_V2 are associated with limited or no water stress constraints on soil evaporation and canopy transpiration that could cause significant bias for sparse vegetation in arid and semi-arid areas. To meet this challenge for using conductance-based ET models, we proposed to use shortwave infrared information to serve as a water stress constraint to vegetation transpiration and soil evaporation, and an improved ET model (PML_SWIR) was proposed. The PML_SWIR model was calibrated with ET measurements from 21 eddy covariance flux towers distributed across China, and showed good performance for estimating ET (R<sup>2</sup> = 0.70 and RMSE = 0.72 mm/day) for the cross-validation dataset. PML_SWIR outperformed PML_V2 in estimating ET for arid and semi-arid areas, indicated by RMSE being 7.86 and 25.93 mm/year lower and bias being 4.74 and 16.63 % less compared with PML_V2(China) and PML_V2(Global) for ET estimation over Xinjiang Province. In addition, PML_SWIR was noticeably better than PML_V2 for depicting the ET patterns for these seasonal rivers in the arid areas. The ET values estimated by PML_SWIR were further compared with other ET products. The results indicated that PML_SWIR well characterized the ET pattern in arid and semi-arid areas, and the estimated ET values showed good agreement with the water balance-based ET (R<sup>2</sup> = 0.87, RMSE = 91.37 mm/year) in major river basins of China. The PML_SWIR ET estimates indicated that 20.2 % of the area of China increased significantly in ET over the study period, mainly due to vegetation greening caused by cropland expansion and the large-scale afforestation program. Overall, our results demonstrated that the incorporation of SWIR-based water stress constraints into the conductance-based ET model was a very promising way for accurately mapping ET in arid and semi-arid areas, and that the PML_SWIR model was highly applicable to regional high spatiotemporal ET mapping.","PeriodicalId":417,"journal":{"name":"Remote Sensing of Environment","volume":"66 1","pages":""},"PeriodicalIF":13.5,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142760401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-03DOI: 10.1016/j.seppur.2024.130842
Gan Li, Ting Wang, Yating Xue, Huifang Li, Dahuan Liu
Prussian blue analogues (PBAs) are considered a promising adsorbent for rubidium recovery due to their high ion exchange capacity and selectivity. However, the development of PBAs-based rubidium adsorbents with excellent stability and adsorption capacity is still hindered by the inevitable CN ligand vacancies. Herein, a synthetic strategy is proposed to slow down crystal nucleation and promote the self-repair of crystal defects by incorporating N-doped porous carbon (NPC) as a solid modifier during the synthesis process. As a result, the vacancy content of Zn-PBA-NPC is significantly decreased and large size twinned crystals are produced, which remarkably improves the thermal and acid-base stability. Benefiting from the high content of K+ in the low-vacancy Zn-PBA-NPC, it achieves a high adsorption amount of 199.1 mg/g and rapid adsorption kinetics of just 5 min for Rb+. In addition, it shows good selectivity in the presence of other alkali metal ions. This work not only prepares a high-performance adsorbent for efficient recovery of Rb+, but also facilitates insights into the design and construction of low-vacancy PBAs.
{"title":"Construction of low-vacancy hexagonal Prussian blue analogues for efficient rubidium recovery","authors":"Gan Li, Ting Wang, Yating Xue, Huifang Li, Dahuan Liu","doi":"10.1016/j.seppur.2024.130842","DOIUrl":"https://doi.org/10.1016/j.seppur.2024.130842","url":null,"abstract":"Prussian blue analogues (PBAs) are considered a promising adsorbent for rubidium recovery due to their high ion exchange capacity and selectivity. However, the development of PBAs-based rubidium adsorbents with excellent stability and adsorption capacity is still hindered by the inevitable CN ligand vacancies. Herein, a synthetic strategy is proposed to slow down crystal nucleation and promote the self-repair of crystal defects by incorporating N-doped porous carbon (NPC) as a solid modifier during the synthesis process. As a result, the vacancy content of Zn-PBA-NPC is significantly decreased and large size twinned crystals are produced, which remarkably improves the thermal and acid-base stability. Benefiting from the high content of K<sup>+</sup> in the low-vacancy Zn-PBA-NPC, it achieves a high adsorption amount of 199.1 mg/g and rapid adsorption kinetics of just 5 min for Rb<sup>+</sup>. In addition, it shows good selectivity in the presence of other alkali metal ions. This work not only prepares a high-performance adsorbent for efficient recovery of Rb<sup>+</sup>, but also facilitates insights into the design and construction of low-vacancy PBAs.","PeriodicalId":427,"journal":{"name":"Separation and Purification Technology","volume":"37 1","pages":""},"PeriodicalIF":8.6,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142760476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2024-12-03DOI: 10.1016/j.ijhydene.2024.11.295
L. Bardos , H. Baránková
Submerged dc plasma generated by nanosecond pulses in ethanol and methanol mixtures with water confirmed efficient production of the hydrogen synthesis gas H2 + CO. The comparison of ethanol and methanol was made for their 35% contents in water. The methanol electrolyte exhibited about 25% more efficient production of synthesis gas compared with ethanol. Tests with 9 ns 9 kV negative dc pulses at the average power of 10 W confirmed production of up to 0.5 l/min of the synthesis gas with over 65% content of H2. In both electrolytes the experiments indicated important role of small gas bubbles in the process. The bubbles were evidently generated by very short streamers formed during the dc pulses. The extraordinary properties of small bubbles, particularly those with submicron sizes, could explain the efficient production of the hydrogen rich gas.
{"title":"Possible role of nanobubbles in the pulsed plasma production of hydrogen","authors":"L. Bardos , H. Baránková","doi":"10.1016/j.ijhydene.2024.11.295","DOIUrl":"10.1016/j.ijhydene.2024.11.295","url":null,"abstract":"<div><div>Submerged dc plasma generated by nanosecond pulses in ethanol and methanol mixtures with water confirmed efficient production of the hydrogen synthesis gas H<sub>2</sub> + CO. The comparison of ethanol and methanol was made for their 35% contents in water. The methanol electrolyte exhibited about 25% more efficient production of synthesis gas compared with ethanol. Tests with 9 ns 9 kV negative dc pulses at the average power of 10 W confirmed production of up to 0.5 l/min of the synthesis gas with over 65% content of H<sub>2</sub>. In both electrolytes the experiments indicated important role of small gas bubbles in the process. The bubbles were evidently generated by very short streamers formed during the dc pulses. The extraordinary properties of small bubbles, particularly those with submicron sizes, could explain the efficient production of the hydrogen rich gas.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"97 ","pages":"Pages 581-584"},"PeriodicalIF":8.1,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-03DOI: 10.1016/j.oceaneng.2024.119909
Qing Yang , Rui Zhong , Qingshan Wang , Bin Qin
The paper investigates the vibration characteristics of functionally graded graphene platelet reinforced composites (FG-GPLRC) stiffened plates in the presence of coupled Dynamic vibration absorbers (DVAs) and the optimization of the parameters of the DVAs. The FG-GPLRC plate is used as a basis for coupling arbitrary numbers of stiffeners at arbitrary angles and positions by imposing a displacement continuity condition supplemented with displacement coordinate transformations. The artificial virtual spring method is used to simulate the various boundary conditions by setting the spring stiffness and coupling the simplified DVAs to a spring-damped system. The unknown displacement coefficients were expanded using spectral geometry method to obtain the dynamic response of the coupled model. The reliability of the current model is confirmed by comparison with literature, the finite element method (FEM), and experiments. Based on the presented model, the different dynamic behaviors of plates with different FG-GPLRC distribution types at different stiffening parameters are analyzed, and it is found that different GPL distribution types are not equally sensitive to changes in the location and size of stiffeners. It will provide greater structural strength and design flexibility for the engineering of significant watercraft and critical vehicles. The vibration control of FG-GPLRC stiffened plates is developed using DVA and the DVA parameters are optimized using Artificial Bee Colony algorithm to minimize the model energy. These results can extend the structural life, which will increase the potential of FG-GPLRC stiffened plates in a wider range of engineering applications.
{"title":"Dynamic analysis and optimization of functionally graded graphene platelet stiffened plate carrying multiple vibration absorbers","authors":"Qing Yang , Rui Zhong , Qingshan Wang , Bin Qin","doi":"10.1016/j.oceaneng.2024.119909","DOIUrl":"10.1016/j.oceaneng.2024.119909","url":null,"abstract":"<div><div>The paper investigates the vibration characteristics of functionally graded graphene platelet reinforced composites (FG-GPLRC) stiffened plates in the presence of coupled Dynamic vibration absorbers (DVAs) and the optimization of the parameters of the DVAs. The FG-GPLRC plate is used as a basis for coupling arbitrary numbers of stiffeners at arbitrary angles and positions by imposing a displacement continuity condition supplemented with displacement coordinate transformations. The artificial virtual spring method is used to simulate the various boundary conditions by setting the spring stiffness and coupling the simplified DVAs to a spring-damped system. The unknown displacement coefficients were expanded using spectral geometry method to obtain the dynamic response of the coupled model. The reliability of the current model is confirmed by comparison with literature, the finite element method (FEM), and experiments. Based on the presented model, the different dynamic behaviors of plates with different FG-GPLRC distribution types at different stiffening parameters are analyzed, and it is found that different GPL distribution types are not equally sensitive to changes in the location and size of stiffeners. It will provide greater structural strength and design flexibility for the engineering of significant watercraft and critical vehicles. The vibration control of FG-GPLRC stiffened plates is developed using DVA and the DVA parameters are optimized using Artificial Bee Colony algorithm to minimize the model energy. These results can extend the structural life, which will increase the potential of FG-GPLRC stiffened plates in a wider range of engineering applications.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"316 ","pages":"Article 119909"},"PeriodicalIF":4.6,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2024-12-03DOI: 10.1016/j.compbiomed.2024.109507
Chao Chen , Nor Ashidi Mat Isa , Xin Liu
This study systematically reviews CNN-based medical image classification methods. We surveyed 149 of the latest and most important papers published to date and conducted an in-depth analysis of the methods used therein. Based on the selected literature, we organized this review systematically. First, the development and evolution of CNN in the field of medical image classification are analyzed. Subsequently, we provide an in-depth overview of the main techniques of CNN applied to medical image classification, which is also the current research focus in this field, including data preprocessing, transfer learning, CNN architectures, and explainability, and their role in improving classification accuracy and efficiency. In addition, this overview summarizes the main public datasets for various diseases. Although CNN has great potential in medical image classification tasks and has achieved good results, clinical application is still difficult. Therefore, we conclude by discussing the main challenges faced by CNNs in medical image analysis and pointing out future research directions to address these challenges. This review will help researchers with their future studies and can promote the successful integration of deep learning into clinical practice and smart medical systems.
{"title":"A review of convolutional neural network based methods for medical image classification","authors":"Chao Chen , Nor Ashidi Mat Isa , Xin Liu","doi":"10.1016/j.compbiomed.2024.109507","DOIUrl":"10.1016/j.compbiomed.2024.109507","url":null,"abstract":"<div><div>This study systematically reviews CNN-based medical image classification methods. We surveyed 149 of the latest and most important papers published to date and conducted an in-depth analysis of the methods used therein. Based on the selected literature, we organized this review systematically. First, the development and evolution of CNN in the field of medical image classification are analyzed. Subsequently, we provide an in-depth overview of the main techniques of CNN applied to medical image classification, which is also the current research focus in this field, including data preprocessing, transfer learning, CNN architectures, and explainability, and their role in improving classification accuracy and efficiency. In addition, this overview summarizes the main public datasets for various diseases. Although CNN has great potential in medical image classification tasks and has achieved good results, clinical application is still difficult. Therefore, we conclude by discussing the main challenges faced by CNNs in medical image analysis and pointing out future research directions to address these challenges. This review will help researchers with their future studies and can promote the successful integration of deep learning into clinical practice and smart medical systems.</div></div>","PeriodicalId":10578,"journal":{"name":"Computers in biology and medicine","volume":"185 ","pages":"Article 109507"},"PeriodicalIF":7.0,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-02DOI: 10.1016/j.seppur.2024.130883
Lei Qin, Hao Deng, Yukui Fu, Jing Feng, Xiuqin Huo, Huchuan Yan, Fanzhi Qin, Ming Yan, GuangJie Lv, Tao Tong, Shuyuan Hu, Qi Feng
Three-dimensional electro-Fenton (3D-EF) has exhibited strengths over traditional electro-Fenton (EF) process for water decontamination, but recent researches on 3D-EF are focused on the decontamination mechanism driven by the radical pathway which was environmentally sensitive and poor in anti-interference capability. This study explored the non-radical mechanism in the 3D-EF process by preparing a novel Fe3O4@Fe2O3/carbon aerogel-700 (FFCA-700) particle electrode (PE) to construct a 3D-EF system promoted by non-radical pathway. The electrodes induced electric field spontaneously polarized FFCA-700 into PEs which led to higher active surface areas of electrodes and the enhancement of mass transfer. Numerous polarized FFCA-700 served as electron donor for dissolved O2 to obtain electron to form ·O2– while the increase in positive charge of the graphitized carbon, caused by the functional group containing electron-rich oxygen, was conducive for ·O2– to transform to 1O2 thus promoting the non-radical pathway. Tetracycline (TC) was selected as the model pollutant to evaluate and compare the remediation performance of different systems. The results suggested that FFCA-700-3D-EF system performed well for pollutant removal in real wastewater. Overall, this study provided a reference for the design and optimization of CPEs and the guidance for the mechanism studies on remediation of organically contaminated wastewater by 3D-EF process.
{"title":"Fe3O4@Fe2O3 carbon aerogel particle electrodes for three-dimensional electro-Fenton oxidation: A novel mechanism promoted by non-radical pathway","authors":"Lei Qin, Hao Deng, Yukui Fu, Jing Feng, Xiuqin Huo, Huchuan Yan, Fanzhi Qin, Ming Yan, GuangJie Lv, Tao Tong, Shuyuan Hu, Qi Feng","doi":"10.1016/j.seppur.2024.130883","DOIUrl":"https://doi.org/10.1016/j.seppur.2024.130883","url":null,"abstract":"Three-dimensional electro-Fenton (3D-EF) has exhibited strengths over traditional electro-Fenton (EF) process for water decontamination, but recent researches on 3D-EF are focused on the decontamination mechanism driven by the radical pathway which was environmentally sensitive and poor in anti-interference capability. This study explored the non-radical mechanism in the 3D-EF process by preparing a novel Fe<sub>3</sub>O<sub>4</sub>@Fe<sub>2</sub>O<sub>3</sub>/carbon aerogel-700 (FFCA-700) particle electrode (PE) to construct a 3D-EF system promoted by non-radical pathway. The electrodes induced electric field spontaneously polarized FFCA-700 into PEs which led to higher active surface areas of electrodes and the enhancement of mass transfer. Numerous polarized FFCA-700 served as electron donor for dissolved O<sub>2</sub> to obtain electron to form ·O<sub>2</sub><sup>–</sup> while the increase in positive charge of the graphitized carbon, caused by the functional group containing electron-rich oxygen, was conducive for ·O<sub>2</sub><sup>–</sup> to transform to <sup>1</sup>O<sub>2</sub> thus promoting the non-radical pathway. Tetracycline (TC) was selected as the model pollutant to evaluate and compare the remediation performance of different systems. The results suggested that FFCA-700-3D-EF system performed well for pollutant removal in real wastewater. Overall, this study provided a reference for the design and optimization of CPEs and the guidance for the mechanism studies on remediation of organically contaminated wastewater by 3D-EF process.","PeriodicalId":427,"journal":{"name":"Separation and Purification Technology","volume":"26 1","pages":""},"PeriodicalIF":8.6,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142758613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2024-12-02DOI: 10.1016/j.rse.2024.114510
Feng Yin, Philip E. Lewis, Jose L. Gómez-Dans, Thomas Weiß
We present a new method for estimating biophysical parameters from Earth Observation (EO) data using a crop-specific empirical model based on the PROSAIL Radiative Transfer (RT) model, called an ‘archetype’ model. The first-order model presented uses maximum biophysical parameter magnitude, phenological and soil parameters to describe the spectral reflectance (400–2500 nm) of vegetation over time. The approach assumes smooth variation and archetypical coordination of crop biophysical parameters over time for a given crop. The form of coordination is learned from a large sample of observations. Using Sentinel-2 observations of maize from Northeast China in 2019, we map reflectance to biophysical parameters using an inverse model operator, synchronise the parameters to a consistent time frame using a double logistic model of <span><span style=""></span><span data-mathml='<math xmlns="http://www.w3.org/1998/Math/MathML"><mrow is="true"><mi is="true">L</mi><mi is="true">A</mi><mi is="true">I</mi></mrow></math>' role="presentation" style="font-size: 90%; display: inline-block; position: relative;" tabindex="0"><svg aria-hidden="true" focusable="false" height="2.086ex" role="img" style="vertical-align: -0.235ex;" viewbox="0 -796.9 1936.5 898.2" width="4.498ex" xmlns:xlink="http://www.w3.org/1999/xlink"><g fill="currentColor" stroke="currentColor" stroke-width="0" transform="matrix(1 0 0 -1 0 0)"><g is="true"><g is="true"><use xlink:href="#MJMATHI-4C"></use></g><g is="true" transform="translate(681,0)"><use xlink:href="#MJMATHI-41"></use></g><g is="true" transform="translate(1432,0)"><use xlink:href="#MJMATHI-49"></use></g></g></g></svg><span role="presentation"><math xmlns="http://www.w3.org/1998/Math/MathML"><mrow is="true"><mi is="true">L</mi><mi is="true">A</mi><mi is="true">I</mi></mrow></math></span></span><script type="math/mml"><math><mrow is="true"><mi is="true">L</mi><mi is="true">A</mi><mi is="true">I</mi></mrow></math></script></span>, then derive the model archetypes as the median value of the synchronised samples. We apply the model to estimate time series of biophysical parameters for different cereal crops using an ensemble framework with a weighted K-nearest neighbour solution, and validate the results with ground measurements of different crops collected near Munich, Germany in 2017 and 2018. The results show <span><span style=""></span><span data-mathml='<math xmlns="http://www.w3.org/1998/Math/MathML"><mi is="true">R</mi></math>' role="presentation" style="font-size: 90%; display: inline-block; position: relative;" tabindex="0"><svg aria-hidden="true" focusable="false" height="1.971ex" role="img" style="vertical-align: -0.235ex;" viewbox="0 -747.2 759.5 848.5" width="1.764ex" xmlns:xlink="http://www.w3.org/1999/xlink"><g fill="currentColor" stroke="currentColor" stroke-width="0" transform="matrix(1 0 0 -1 0 0)"><g is="true"><use xlink:href="#MJMATHI-5
{"title":"Archetypal crop trait dynamics for enhanced retrieval of biophysical parameters from Sentinel-2 MSI","authors":"Feng Yin, Philip E. Lewis, Jose L. Gómez-Dans, Thomas Weiß","doi":"10.1016/j.rse.2024.114510","DOIUrl":"https://doi.org/10.1016/j.rse.2024.114510","url":null,"abstract":"We present a new method for estimating biophysical parameters from Earth Observation (EO) data using a crop-specific empirical model based on the PROSAIL Radiative Transfer (RT) model, called an ‘archetype’ model. The first-order model presented uses maximum biophysical parameter magnitude, phenological and soil parameters to describe the spectral reflectance (400–2500 nm) of vegetation over time. The approach assumes smooth variation and archetypical coordination of crop biophysical parameters over time for a given crop. The form of coordination is learned from a large sample of observations. Using Sentinel-2 observations of maize from Northeast China in 2019, we map reflectance to biophysical parameters using an inverse model operator, synchronise the parameters to a consistent time frame using a double logistic model of <span><span style=\"\"></span><span data-mathml='<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mrow is=\"true\"><mi is=\"true\">L</mi><mi is=\"true\">A</mi><mi is=\"true\">I</mi></mrow></math>' role=\"presentation\" style=\"font-size: 90%; display: inline-block; position: relative;\" tabindex=\"0\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"2.086ex\" role=\"img\" style=\"vertical-align: -0.235ex;\" viewbox=\"0 -796.9 1936.5 898.2\" width=\"4.498ex\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g fill=\"currentColor\" stroke=\"currentColor\" stroke-width=\"0\" transform=\"matrix(1 0 0 -1 0 0)\"><g is=\"true\"><g is=\"true\"><use xlink:href=\"#MJMATHI-4C\"></use></g><g is=\"true\" transform=\"translate(681,0)\"><use xlink:href=\"#MJMATHI-41\"></use></g><g is=\"true\" transform=\"translate(1432,0)\"><use xlink:href=\"#MJMATHI-49\"></use></g></g></g></svg><span role=\"presentation\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mrow is=\"true\"><mi is=\"true\">L</mi><mi is=\"true\">A</mi><mi is=\"true\">I</mi></mrow></math></span></span><script type=\"math/mml\"><math><mrow is=\"true\"><mi is=\"true\">L</mi><mi is=\"true\">A</mi><mi is=\"true\">I</mi></mrow></math></script></span>, then derive the model archetypes as the median value of the synchronised samples. We apply the model to estimate time series of biophysical parameters for different cereal crops using an ensemble framework with a weighted K-nearest neighbour solution, and validate the results with ground measurements of different crops collected near Munich, Germany in 2017 and 2018. The results show <span><span style=\"\"></span><span data-mathml='<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi is=\"true\">R</mi></math>' role=\"presentation\" style=\"font-size: 90%; display: inline-block; position: relative;\" tabindex=\"0\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"1.971ex\" role=\"img\" style=\"vertical-align: -0.235ex;\" viewbox=\"0 -747.2 759.5 848.5\" width=\"1.764ex\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g fill=\"currentColor\" stroke=\"currentColor\" stroke-width=\"0\" transform=\"matrix(1 0 0 -1 0 0)\"><g is=\"true\"><use xlink:href=\"#MJMATHI-5","PeriodicalId":417,"journal":{"name":"Remote Sensing of Environment","volume":"26 1","pages":""},"PeriodicalIF":13.5,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142758647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-02DOI: 10.1016/j.jmapro.2024.11.040
Haibin Liu , Chenghao Wu , Ruishan Xie , Rui Pan , Xiaoguang Chen , Jhe-yu Lin , Shujun Chen
The aluminum/steel dissimilar structure is a cornerstone for lightweight components and equipment. Yet, traditional fusion welding methods' high heat input frequently gives rise to detrimental defects such as porosity, cracks, and excessively thick intermetallic compound layers (IMCLs) at the interface. To overcome these challenges, this paper innovatively combines low heat input solid-state friction rolling additive manufacturing (FRAM) and strategic interface design to achieve reliable bonding between these dissimilar metals. Our investigation found that conventional FRAM (C-FRAM), hindered by inadequate heat input, struggled to facilitate continuous atomic migration, leading to incomplete joint formation. However, the introduction of arc-assisted FRAM (Aa-FRAM) significantly increased aluminum/steel mixing, fostering interdiffusion of interface atoms under high temperature and pressure conditions. This resulted in the formation of uniform 2.3 μm IMCLs composed of Fe7Al11, Fe4Al13, and FeAl6, and the nanoscale amorphous layer was found between IMCLs and steel. The metallurgical bonding was successfully established at the Aa-FRAM interface. Moreover, by using arc/micro-hole assisted FRAM (AHa-FRAM), which machined an array of micro-holes on the steel surface, we further optimized the aluminum-steel interface bonding quality. The plasticized aluminum alloy (Al alloy) seamlessly flowed into these micro-holes, creating a robust “self-riveting” structure that bolstered mechanical interlocking at the interface. Consequently, we achieved a high-strength joint with an exceptional ultimate tensile strength (UTS) of 167.2 MPa. In addition, the crystallographic analysis showed that the grain size was significantly refined by using the two auxiliary methods, which played a fine grain strengthening role on the interface. This paper innovatively improves the interface bonding between Al alloy and steel through the combination of solid-state FRAM and interface design, thereby opening up a new pathway for the manufacture of aluminum-steel dissimilar structural components.
{"title":"Interface optimization design and bonding mechanism of friction rolling additive manufactured aluminum/steel dissimilar metal","authors":"Haibin Liu , Chenghao Wu , Ruishan Xie , Rui Pan , Xiaoguang Chen , Jhe-yu Lin , Shujun Chen","doi":"10.1016/j.jmapro.2024.11.040","DOIUrl":"10.1016/j.jmapro.2024.11.040","url":null,"abstract":"<div><div>The aluminum/steel dissimilar structure is a cornerstone for lightweight components and equipment. Yet, traditional fusion welding methods' high heat input frequently gives rise to detrimental defects such as porosity, cracks, and excessively thick intermetallic compound layers (IMCLs) at the interface. To overcome these challenges, this paper innovatively combines low heat input solid-state friction rolling additive manufacturing (FRAM) and strategic interface design to achieve reliable bonding between these dissimilar metals. Our investigation found that conventional FRAM (C-FRAM), hindered by inadequate heat input, struggled to facilitate continuous atomic migration, leading to incomplete joint formation. However, the introduction of arc-assisted FRAM (Aa-FRAM) significantly increased aluminum/steel mixing, fostering interdiffusion of interface atoms under high temperature and pressure conditions. This resulted in the formation of uniform 2.3 μm IMCLs composed of Fe<sub>7</sub>Al<sub>11</sub>, Fe<sub>4</sub>Al<sub>13</sub>, and FeAl<sub>6</sub>, and the nanoscale amorphous layer was found between IMCLs and steel. The metallurgical bonding was successfully established at the Aa-FRAM interface. Moreover, by using arc/micro-hole assisted FRAM (AHa-FRAM), which machined an array of micro-holes on the steel surface, we further optimized the aluminum-steel interface bonding quality. The plasticized aluminum alloy (Al alloy) seamlessly flowed into these micro-holes, creating a robust “self-riveting” structure that bolstered mechanical interlocking at the interface. Consequently, we achieved a high-strength joint with an exceptional ultimate tensile strength (UTS) of 167.2 MPa. In addition, the crystallographic analysis showed that the grain size was significantly refined by using the two auxiliary methods, which played a fine grain strengthening role on the interface. This paper innovatively improves the interface bonding between Al alloy and steel through the combination of solid-state FRAM and interface design, thereby opening up a new pathway for the manufacture of aluminum-steel dissimilar structural components.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"132 ","pages":"Pages 1041-1052"},"PeriodicalIF":6.1,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142758806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","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：