This paper deals with a comparative research between two processes of granulation, namely mini-pelletized sintering （MPS） and hybrid pelletized sintering （HPS）, focusing on aspects such as the balling effect, prod...This paper deals with a comparative research between two processes of granulation, namely mini-pelletized sintering （MPS） and hybrid pelletized sintering （HPS）, focusing on aspects such as the balling effect, production, quality, and mineralography and metallurgical performance of sinter. The results indicate that both methods can result in a satisfying capability in balling effect and metallurgical performance of sinter, qualified to meet the plant production requirements, but when the granulation time and granulating moisture are set to around 6 minutes and 7.0% respectively, MPS is better than HPS.展开更多
The microwave absorbents of Fe and C nanoparticles as magnetic loss and dielectric loss material respectively were composited with the polyvinyl alcohol(PVA)as binder by spray granulation method,The electromagnetic pa...The microwave absorbents of Fe and C nanoparticles as magnetic loss and dielectric loss material respectively were composited with the polyvinyl alcohol(PVA)as binder by spray granulation method,The electromagnetic parameters of Fe and C composite particles were analyzed by vector network.The complex permittivity and magnetic permeability of Fe and C composite particles matched well with increasing C nanoparticle content,and then the microwave loss property was improved.A minimum reflection loss(RL)of-42.7 dB at 3.68 GHz for a composite with 4.6 mm in thickness can be obtained when the content ratio of the C nanoparticles,the modified Fe nanoparticles and the PVA is 21:49:30(Sample 3).展开更多
This study demonstrated a solvothermal method of growth of three different morphologies of zinc oxide nanoparticles （ZnO NPs）： i） flower-like nanorod and nanoflakes, ii） assembled hierarchical structure, and iii...This study demonstrated a solvothermal method of growth of three different morphologies of zinc oxide nanoparticles （ZnO NPs）： i） flower-like nanorod and nanoflakes, ii） assembled hierarchical structure, and iii） nano granule. Oleic acid （C18H3402）, gluconic acid （C6H1207） and tween 80 （C64H124026） were used as surfactant/capping/reducing agent for the formation of different morphologies of nanoparticles. The as-synthesized ZnO NPs were characterized by different physicochemical techniques such as UV-vis （UV-vis） spectroscopy, X-ray diffraction （XRD）, fourier transform infrared spectroscopy （FFIR）, field emission scanning electron microscopy （FE-SEM）, energy dispersive X-ray （EDX） analysis and dynamic light scattering （DLS） studies. Further, the antioxidant and antimicrobial activity of these nanostructures was evaluated. The antioxidant activity of these nanostructures was assessed via 2,2-diphenyl,1-1 picrylhydrazyl （DPPH）, 2,2＇-azino-bis （3-ethylbenzothiazoline-6-sulphonic acid） （ABTS） and H202 free radical scavenging activity. The in vitro antimicrobial activity of the obtained nanostructures was demonstrated against both gram negative （Escherichia coil） and gram positive （Staphylococcus aureus） bacterial genera. This study revealed antioxidant and antimicrobial properties of different structures ofZnO NPs suggesting their biomedical and industrial applications.展开更多
The Co content dependence of crystal structure and specific magnetization of Fe1-xCox-SiO2granular solid prepared by the sol-gel method have been studied. It is found that the crystal structure, Iattice parameter and ...The Co content dependence of crystal structure and specific magnetization of Fe1-xCox-SiO2granular solid prepared by the sol-gel method have been studied. It is found that the crystal structure, Iattice parameter and specific magnetization of the FeCo alloy particles depend on the Co content.展开更多
Accurate predictions of sea surface temperature(SST)are crucial due to the significant impact of SST on the global ocean-atmospheric system and its potential to trigger extreme weather events.Many existing machine-lea...Accurate predictions of sea surface temperature(SST)are crucial due to the significant impact of SST on the global ocean-atmospheric system and its potential to trigger extreme weather events.Many existing machine-learning-based ssT predictions adapt the traditional iterative point-wise prediction mechanism,whose predicting horizons and accuracy are limited owing to the high sensitivity to cumulative errors during iterative predictions.Therefore,this paper proposes a novel granulation-based long short-term memory(LsTM)-random forest(RF)combination model that can fully capture the feature dependencies involved in the fluctuation of SsT sequences,reduce the cumulative error in the iteration process,and extend the prediction horizons,which includes two sub-models(adaptive granulation model and hybrid prediction model).They can restack the one-dimensional ssT time-series into multidimensional feature variables,and achieve a strong forecasting ability.The analysis shows that the proposed model can achieve more accurate prediction-hours in nearly all prediction ranges from 1 to 125 h.The average prediction error of the proposed model in 25-125 h is 0.07 K,similar to that(0.067 K)in the first 24 h,which exhibits a high generalization performance and robustness and isthus a promising platform for the medium-and long-term forecasting of hourly SSTs.展开更多
The photo bioreaction combined with flow and mass transfer is simulated with pore-scale lattice Boltzmann （LB） method, which is the scenario of a bioreactor filled with a porous granule immobilized photosynthetic ba...The photo bioreaction combined with flow and mass transfer is simulated with pore-scale lattice Boltzmann （LB） method, which is the scenario of a bioreactor filled with a porous granule immobilized photosynthetic bacteria cells for hydrogen production. The quartet structure generation set （QSGS） is used to generate porous structure of the immobilized granule. The effects of porosity of the immobilized granule on flow and concentration fields as well as the hydrogen production performance are investi- gated. Higher porosity facilitates the substrate solution smoothly flowing through the porous granule with increasing velocity, and thus results in higher product concentration inside the immobilized gran- ule. Additionally, the substrate consumption efficiency increases, while hydrogen yield slightly decreases with increasing porosity, and they tend to stable for the porosity larger than 0.5. Furthermore, the LB numerical results have a good agreement with the experimental results. It is demonstrated that the pore-scale LB simulation method coupling with QSGS is available to simulate the photo hydrogen produc- tion in the hioreactor with porous immobilized granules.展开更多
文摘This paper deals with a comparative research between two processes of granulation, namely mini-pelletized sintering （MPS） and hybrid pelletized sintering （HPS）, focusing on aspects such as the balling effect, production, quality, and mineralography and metallurgical performance of sinter. The results indicate that both methods can result in a satisfying capability in balling effect and metallurgical performance of sinter, qualified to meet the plant production requirements, but when the granulation time and granulating moisture are set to around 6 minutes and 7.0% respectively, MPS is better than HPS.
基金the support from the National Natural Science Foundation of China(No.51171033)the Fundamental Research Funds for the Central Universities(DUT15LAB05,DUT16LAB03)
文摘The microwave absorbents of Fe and C nanoparticles as magnetic loss and dielectric loss material respectively were composited with the polyvinyl alcohol(PVA)as binder by spray granulation method,The electromagnetic parameters of Fe and C composite particles were analyzed by vector network.The complex permittivity and magnetic permeability of Fe and C composite particles matched well with increasing C nanoparticle content,and then the microwave loss property was improved.A minimum reflection loss(RL)of-42.7 dB at 3.68 GHz for a composite with 4.6 mm in thickness can be obtained when the content ratio of the C nanoparticles,the modified Fe nanoparticles and the PVA is 21:49:30(Sample 3).
文摘This study demonstrated a solvothermal method of growth of three different morphologies of zinc oxide nanoparticles （ZnO NPs）： i） flower-like nanorod and nanoflakes, ii） assembled hierarchical structure, and iii） nano granule. Oleic acid （C18H3402）, gluconic acid （C6H1207） and tween 80 （C64H124026） were used as surfactant/capping/reducing agent for the formation of different morphologies of nanoparticles. The as-synthesized ZnO NPs were characterized by different physicochemical techniques such as UV-vis （UV-vis） spectroscopy, X-ray diffraction （XRD）, fourier transform infrared spectroscopy （FFIR）, field emission scanning electron microscopy （FE-SEM）, energy dispersive X-ray （EDX） analysis and dynamic light scattering （DLS） studies. Further, the antioxidant and antimicrobial activity of these nanostructures was evaluated. The antioxidant activity of these nanostructures was assessed via 2,2-diphenyl,1-1 picrylhydrazyl （DPPH）, 2,2＇-azino-bis （3-ethylbenzothiazoline-6-sulphonic acid） （ABTS） and H202 free radical scavenging activity. The in vitro antimicrobial activity of the obtained nanostructures was demonstrated against both gram negative （Escherichia coil） and gram positive （Staphylococcus aureus） bacterial genera. This study revealed antioxidant and antimicrobial properties of different structures ofZnO NPs suggesting their biomedical and industrial applications.
文摘The Co content dependence of crystal structure and specific magnetization of Fe1-xCox-SiO2granular solid prepared by the sol-gel method have been studied. It is found that the crystal structure, Iattice parameter and specific magnetization of the FeCo alloy particles depend on the Co content.
基金supported by Second Tibetan Plateau Scientific Expedition and Research Program(STEP)-‘Dynamic monitoring and simulation of water cycle in Asian water tower area’[grant number 2019QZKK0206]Open Fund of the State Key Laboratory of Remote Sensing Science[grant number OFSLRSS202201]+1 种基金Ningxia Science and Technology Department Flexible Introduction talent project[grant number 2021RXTDLX14]Fengyun Application Pioneering Project[grant number FY-APP-2022.0205].
文摘Accurate predictions of sea surface temperature(SST)are crucial due to the significant impact of SST on the global ocean-atmospheric system and its potential to trigger extreme weather events.Many existing machine-learning-based ssT predictions adapt the traditional iterative point-wise prediction mechanism,whose predicting horizons and accuracy are limited owing to the high sensitivity to cumulative errors during iterative predictions.Therefore,this paper proposes a novel granulation-based long short-term memory(LsTM)-random forest(RF)combination model that can fully capture the feature dependencies involved in the fluctuation of SsT sequences,reduce the cumulative error in the iteration process,and extend the prediction horizons,which includes two sub-models(adaptive granulation model and hybrid prediction model).They can restack the one-dimensional ssT time-series into multidimensional feature variables,and achieve a strong forecasting ability.The analysis shows that the proposed model can achieve more accurate prediction-hours in nearly all prediction ranges from 1 to 125 h.The average prediction error of the proposed model in 25-125 h is 0.07 K,similar to that(0.067 K)in the first 24 h,which exhibits a high generalization performance and robustness and isthus a promising platform for the medium-and long-term forecasting of hourly SSTs.
基金financial support provided by the State Key Program of National Natural Science of China (51136007)National Natural Science Funds for Distinguished Young Scholars (50825602)
文摘The photo bioreaction combined with flow and mass transfer is simulated with pore-scale lattice Boltzmann （LB） method, which is the scenario of a bioreactor filled with a porous granule immobilized photosynthetic bacteria cells for hydrogen production. The quartet structure generation set （QSGS） is used to generate porous structure of the immobilized granule. The effects of porosity of the immobilized granule on flow and concentration fields as well as the hydrogen production performance are investi- gated. Higher porosity facilitates the substrate solution smoothly flowing through the porous granule with increasing velocity, and thus results in higher product concentration inside the immobilized gran- ule. Additionally, the substrate consumption efficiency increases, while hydrogen yield slightly decreases with increasing porosity, and they tend to stable for the porosity larger than 0.5. Furthermore, the LB numerical results have a good agreement with the experimental results. It is demonstrated that the pore-scale LB simulation method coupling with QSGS is available to simulate the photo hydrogen produc- tion in the hioreactor with porous immobilized granules.
