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Removal of elemental mercury from simulated flue gas by cerium oxide modified attapulgite
Donglei Shi,Qi Xu,Yu Lu,Zhe Tang,Fennv Han,Ruo-Yu Chen 한국화학공학회 2014 Korean Journal of Chemical Engineering Vol.31 No.8
A novel catalyst CeO2/ATP was developed to remove Hg0 from coal fired gas. This is new way to use thefacile, cheap and larger BET specific surface area catalyst attapulgite (ATP) as support to remove Hg0 from coal firedgas. The Hg0 removal and oxidation efficiency of CeO2/ATP (1 : 1) is up to 97.75% and 92.23% at 200 oC, respectively. We also found that ATP plays an important role in improving the catalyst activity of CeO2/ATP, which can make CeO2/ATP have more stable catalyst activity at broader temperature range and obtain lower optimum activity temperature. Other influencing factors, such as temperature and flue gas environment (SO2, Cl2, NO), are also investigated in order toget a clear understanding of the experiment. The formation mechanisms are also proposed.
Research on the Diving Simulation System on Three Dimensional Computer Animation
Donglei Hou 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.12
Three dimensional computer animation and motion simulation is an important means of technical analysis and diagnosis of sports training techniques. Springboard diving simulation system is researched in this paper by using three-dimensional computer assisted animation, and the human body model suitable of the system is established. Then we used free deformation method based on NURBS deformed to achieve the body's joint movement. Three-dimensional human body model and its motion model are established in the computer by introducing computational geometry. At last, the simulation system is realized by using OpenGL graphical programming interface, and the position difference simulation of the platform is carried out in the system. The visual effect and real-time motion of the human body model is performance good in this paper, and it has a high application value to the guiding practice.
Guo, Donglei,Qin, Jinwen,Yin, Zhigang,Bai, Jinman,Sun, Yang-Kook,Cao, Minhua Elsevier 2018 Nano energy Vol.45 No.-
<P><B>Abstract</B></P> <P>The mass loading of the active materials in most flexible electrodes is relatively low, which greatly impedes their practical application. Here, we report a facile strategy to achieve high mass loading of Na<SUB>3</SUB>V<SUB>2</SUB>(PO<SUB>4</SUB>)<SUB>3</SUB>@carbon (NVP@C) supported on carbon cloth (NVP@C-CC) by a two-step coating followed by an annealing treatment and the resultant NVP@C-CC membrane can be used as a binder-free cathode for sodium ion batteries (SIBs). The NVP@C is not only uniformly anchored on the surface of carbon fibers of CC, but also filled between carbon fibers of CC in interconnected three-dimensional (3D) macroporous structure. It is because of the full use of the spaces between carbon fibers of CC that we achieve a high NVP@C mass loading. Thus-obtained NVP@C-CC exhibits excellent cyclability (82.0% capacity retention over 2000 cycles at 20C) and high rate capacity (96.8mAhg<SUP>−1</SUP> at 100C and 69.9mAhg<SUP>−1</SUP> at 200C) for sodium half cells and meanwhile the high mass loading of NVP@C on CC also endows the cell with fairly high energy and powder densities of 396Whkg<SUP>−1</SUP> and 97kWkg<SUP>−1</SUP>. Furthermore, it also presents superior cycling stability and rate performance when evaluated as full battery (NaTi<SUB>2</SUB>(PO<SUB>4</SUB>)<SUB>3</SUB>@C as the anode) cathode. This study offers a new strategy for achieving high mass loading of the active materials on flexible supports in flexible energy storage devices.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A two-step coating strategy is used to prepare NVP@C-CC electrode with high mass loading. </LI> <LI> The high mass loading is attributed to the full use of the spaces among carbon fibers by contructing three-dimensinal network. </LI> <LI> The NVP@C-CC exhibits excellent cycling performance and superior rate capacity for both sodium half cells and full cells. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>The NVP@C-CC electrode with high mass loading was achieved by contructing three-dimensinal network among carbon fibers. The NVP@C-CC electrode exhibits excellent cycling performance and superior rate capacity for both sodium half cells and full cell cathode (NaTi<SUB>2</SUB>(PO<SUB>4</SUB>)<SUB>3</SUB>@C as the anode). To further demonstrate its potential application, the as-prepared full cell can easy to power commercial red light-emitting diode bulb after being fully charged.</P> <P>[DISPLAY OMISSION]</P>
Tianjie Zhang,Donglei Wang,Yang Lu 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.4
Highway agencies and practitioners expect to have the most efficient method with adequate accuracy when choosing a deep learning-based model for pavement crack classification. However, many works are implemented on their own dataset, making them hard to compare with each other, and also less persuasive and robust. Therefore, a Road Cracks Classification Dataset is proposed to serve as a standard and open-source dataset. Based on this dataset, a benchmark study of fourteen deep learning classification methods is evaluated. Two parameters, the Ratio of F1 and Training Time (RFT) and Ratio of F1 and Prediction Time (RFP), are proposed to quantify the efficiency of networks. The results show that ConvNeXt_base reaches the highest accuracy among all models but requires the longest training time. AlexNet takes the least training time among all models, but gains the lowest accuracy. Of the four crack types, the block crack has the lowest accuracy, which means it is the most difficult to detect. SqueezeNet1_0 has the highest efficiency among all models in converting the computing power to accuracy. Wide ResNet 50_2 consumes the longest prediction time among CNN models, while the ConvNeXt_base has the highest feasibility on real-time tasks. To implement a suitable deep learning-based pavement crack inspection, we recommend a good balance between computational cost and accuracy. Based on this, we provide practical recommendations according to different user groups.
Self-assembly and drug release mechanisms of mechano-responsive and antibacterial F127-Rif hydrogels
Hongchen Li,Jing Gan,Donglei Liu,Xin Luo 한국고분자학회 2023 Macromolecular Research Vol.31 No.2
The self-assembly and drug release mechanism of F127-RIF drug-loaded hydrogels were studied based on dissipative particle dynamics (DPD) simulation. The F127 (PEO99-PPO65-PEO99) was chosen as the candidate matrix, rifampicin (Rif) was used as an antibacterial drug. The self-assembly procedure and drug release mechanism of the F127 polymeric rifampicin-loaded (F127-Rif) micelles in the aqueous solution were simulated. The results show that F127 macromolecules tended to aggregate into clusters due to their hydrophobic property in an aqueous environment, thus forming a core–shell structure. In the case of low drug loading, the self-assembly process was likely to form multiple relatively dispersed small micelles. When the drug loading reached 15–20%, the drug was exposed because of exceeding the coating limit of the polymer gels. It was more appropriate to control the optimal drug loading at about 10–13%. Under the unidirectional tensile force, the F127-Rif hydrogel bundle was slowly stretched, which helped rifampicin molecules diffuse from the micelle’s core to the outer layer. The greater the force loaded, the higher the drug release efficiency. At the same time, the F127-Rif micelle was cracked and caused the carrier to fail if the tensile force was too large. The appropriate loading force value was 50–70 kcal/mol/Å.