Facile synthesis of <i>Camellia oleifera</i> shell-derived hard carbon as an anode material for lithium-ion batteries

Ma, Beiyue; Huang, Yewei; Nie, Zhou; Qiu, Xiaobin; Su, Dawei; Wang, Guoxiu; Yuan, Jianmin; Xie, Xiuqiang; Wu, Zhenjun

doi:10.1039/c9ra03345a

Cited by 39 publications

(13 citation statements)

References 58 publications

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“…P Min is the minimum number of points in the neighborhood of point P with a radius of r. The distances between point P and the remaining points were calculated, where p is the coordinate matrix of P and p i is the coordinate matrix of the ith point, and then the number of points within the radius r of point P was counted (Equation ( 6)). In Equation (7), N r (P) includes all points with a distance of no more than r from point P. If the number of points included in N r (P) is not less than P Min , then P is set as the core point, and then the sample set that can reach the density of all core objects is identified as a cluster.…”

Section: Clustering Methods For Oil Tea Fruitsmentioning

confidence: 99%

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Identification of the Yield of Camellia oleifera Based on Color Space by the Optimized Mean Shift Clustering Algorithm Using Terrestrial Laser Scanning

et al. 2022

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Oil tea (Camellia oleifera) is one of the world’s major woody edible oil plants and is vital in providing food and raw materials and ensuring water conservation. The yield of oil tea can directly reflect the growth condition of oil tea forests, and rapid and accurate yield measurement is directly beneficial to efficient oil tea forest management. Light detection and ranging (LiDAR), which can penetrate the canopy to acquire the geometric attributes of targets, has become an effective and popular method of yield identification for agricultural products. However, the common geometric attribute information obtained by LiDAR systems is always limited in terms of the accuracy of yield identification. In this study, to improve yield identification efficiency and accuracy, the red-green-blue (RGB) and luminance-bandwidth-chrominance (i.e., YUV color spaces) were used to identify the point clouds of oil tea fruits. An optimized mean shift clustering algorithm was constructed for oil tea fruit point cloud extraction and product identification. The point cloud data of oil tea trees were obtained using terrestrial laser scanning (TLS), and field measurements were conducted in Changsha County, central China. In addition, the common mean shift, density-based spatial clustering of applications with noise (DBSCAN), and maximum–minimum distance clustering were established for comparison and validation. The results showed that the optimized mean shift clustering algorithm achieved the best identification in both the RGB and YUV color spaces, with detection ratios that were 9.02%, 54.53%, and 3.91% and 7.05%, 62.35%, and 10.78% higher than those of the common mean shift clustering, DBSCAN clustering, and maximum-minimum distance clustering algorithms, respectively. In addition, the improved mean shift clustering algorithm achieved a higher recognition rate in the YUV color space, with an average detection rate of 81.73%, which was 2.4% higher than the average detection rate in the RGB color space. Therefore, this method can perform efficient yield identification of oil tea and provide a new reference for agricultural product management.

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Section: Clustering Methods For Oil Tea Fruitsmentioning

confidence: 99%

“…[4][5][6]. They can also be used as lubricants and anti-rust oils for industrial applications [7,8]. In addition, oil tea plays a pivotal role in air purification and soil and water conservation.…”

Section: Introductionmentioning

confidence: 99%

Identification of the Yield of Camellia oleifera Based on Color Space by the Optimized Mean Shift Clustering Algorithm Using Terrestrial Laser Scanning

et al. 2022

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“…In addition, the treatment of biomass adsorbents is more energy efficient than the preparation of biomass carbon (microwave pyrolysis, hydrothermal synthesis, and high-temperature pyrolysis). [2][3][4][5][6] But in terms of this material (fungal hyphae, Irpex lacteus), PCFH is better than FH (Table S2 †). Aer carbonization-activation treatment, PCFH has a large specic surface area and higher porosity than FH, which can improve the adsorption capacity to RhB by providing more adsorption sites.…”

Section: Characterizationmentioning

confidence: 99%

“…Biomass carbon is a carbon-rich product which is derived from biomass via high temperature pyrolysis (without oxygen or with limited oxygen content). 1 Recently, it has become a research hotspot [2][3][4][5][6] due to its unique advantages (huge specic surface area and abundant functional groups, etc.) and wide applications 7,8 (catalysts, adsorbents, separation materials, gas and energy storage materials, electrochemical materials, etc.).…”

Section: Introductionmentioning

confidence: 99%

Porous carbon material derived from fungal hyphae and its application for the removal of dye

et al. 2019

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“…[ 1 ] In recent years, because of their small size and high energy density, lithium‐ion batteries are widely used in various fields, such as aerospace, new energy vehicles, and electronic products. [ 2,3 ] The lithium‐ion battery has developed rapidly through reversible reactions in electrode materials to reduce environmental pollution. [ 4 ] The development of new energy vehicles has attracted the attention of countries all over the world.…”

Section: Introductionmentioning

confidence: 99%

3D Printing of Graphite Electrode for Lithium‐Ion Battery with High Areal Capacity

Zhang

et al. 2021

Energy Tech

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Combined with the traditional preparation method of graphite anode slurry for lithium battery and the manufacturing technology of pneumatic jet, the organic solvent‐based anode slurry is selected to explore the viscosity curve under different solid–liquid ratios. It is judged that the anode slurry is a non‐Newtonian fluid. It has printability and meets the requirements of direct writing molding technology. The slurry with a solid volume fraction of 50% is selected as the printing material, the graphite anode slurry is molded on the copper foil by a pneumatic printing device and the electrochemical performance of the coin lithium‐ion battery is analyzed. The effect of printing structure and printing interval on the electrochemical performance of lithium‐ion batteries is studied and compared with batteries prepared by traditional coating processes. Finally, the linear electrode pattern is selected to discuss the effect of printing layers on the electrochemical performance of lithium‐ion batteries. The results show that the areal specific capacity of the printed electrode is significantly higher than that of the traditional coated electrode and the shape, interval, and the number of layers of the printing electrode have a significant effect on the performance of the battery.

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Facile synthesis of Camellia oleifera shell-derived hard carbon as an anode material for lithium-ion batteries

Abstract: Bio-waste Camellia oleifera shells (COS) are converted into porous carbon by a two-step method.

Cited by 39 publications

References 58 publications

Identification of the Yield of Camellia oleifera Based on Color Space by the Optimized Mean Shift Clustering Algorithm Using Terrestrial Laser Scanning

Identification of the Yield of Camellia oleifera Based on Color Space by the Optimized Mean Shift Clustering Algorithm Using Terrestrial Laser Scanning

Porous carbon material derived from fungal hyphae and its application for the removal of dye

3D Printing of Graphite Electrode for Lithium‐Ion Battery with High Areal Capacity

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