Based on the rapid advancements in nanomaterials and nanotechnology,the Nanofluidic Reverse Electrodialysis(NRED)has attracted significant attention as an innovative and promising energy conversion strategy for extrac...Based on the rapid advancements in nanomaterials and nanotechnology,the Nanofluidic Reverse Electrodialysis(NRED)has attracted significant attention as an innovative and promising energy conversion strategy for extracting sustainable and clean energy fromthe salinity gradient energy.However,the scarcity of research investigating the intricate multi-factor coupling effects on the energy conversion performance,especially the trade-offs between ion selectivity and mass transfer in nanochannels,of NRED poses a great challenge to achieving breakthroughs in energy conversion processes.This numerical study innovatively investigates the multi-factor coupling effect of three critical operational factors,including the nanochannel configuration,the temperature field,and the concentration difference,on the energy conversion processes of NRED.In this work,a dimensionless amplitude parameter s is introduced to emulate the randomly varied wall configuration of nanochannels that inherently occur in practical applications,thereby enhancing the realism and applicability of our analysis.Numerical results reveal that the application of a temperature gradient,which is oriented in opposition to the concentration gradient,enhances the ion transportation and selectivity simultaneously,leading to an enhancement in both output power and energy conversion efficiency.Additionally,the increased fluctuation of the nanochannel wall from s=0 to s=0.08 improves ion selectivity yet raises ion transport resistance,resulting in an enhancement in output power and energy conversion efficiency but a slight reduction in current.Furthermore,with increasing the concentration ratio cH/cL from 10 to 1000,either within a fixed temperature field or at a constant dimensionless amplitude,the maximumpower consistently attains its optimal value at a concentration ratio of 100 but the cation transfer number experiences amonotonic decrease across this entire range of concentration ratios.Finally,uponmodifying the operational parameters fromthe baseline condition of s=0,c_(H)/c_(L)=10,andΔT=0 K to the targetedconditionof s=0.08,c_(H)/c_(L)=50,andΔT=25 K,there is a concerted improvement observed in the open-circuit potential,short-circuit current,andmaximumpower,with respective increments of 8.86%,204.97%,and 232.01%,but a reduction in cation transfer number with a notable decrease of 15.37%.展开更多
In order to solve the problem of strength instability of cemented tailings backfill(CTB)under low temperature environment(≤20℃),the strength optimization and prediction of CTB under the influence of multiple factors...In order to solve the problem of strength instability of cemented tailings backfill(CTB)under low temperature environment(≤20℃),the strength optimization and prediction of CTB under the influence of multiple factors were carried out.The response surface method(RSM)was used to design the experiment to analyze the development law of backfill strength under the coupling effect of curing temperature,sand-cement ratio and slurry mass fraction,and to optimize the mix proportion;the artificial neural network algorithm(ANN)and particle swarm optimization algorithm(PSO)were used to build the prediction model of backfill strength.According to the experimental results of RSM,the optimal mix proportion under different curing temperatures was obtained.When the curing temperature is 10-15℃,the best mix proportion of sand-cement ratio is 9,and the slurry mass fraction is 71%;when the curing temperature is 15-20℃,the best mix proportion of sand-cement ratio is 8,and the slurry mass fraction is 69%.The ANN-PSO intelligent model can accurately predict the strength of CTB,its mean relative estimation error value and correlation coefficient value are only 1.95%and 0.992,and the strength of CTB under different mix proportion can be predicted quickly and accurately by using this model.展开更多
目的基于超高效液相色谱-串联四级杆/线性离子阱质谱(ultra high performance liquid chromatography tandem fourth stage rod/linear ion trap mass spectrometry,UPLC-QTRAP-MS/MS)和多元统计分析,考察和评价不同干燥方式对乌药叶成...目的基于超高效液相色谱-串联四级杆/线性离子阱质谱(ultra high performance liquid chromatography tandem fourth stage rod/linear ion trap mass spectrometry,UPLC-QTRAP-MS/MS)和多元统计分析,考察和评价不同干燥方式对乌药叶成分的影响。方法采用UPLC-QTRAP-MS/MS技术,以ACQUITY UPLC?HSS T3(100 mm×2.1 mm,1.8μm)色谱柱分离,0.1%甲酸溶液(A相)-乙腈(B相)为流动相;梯度洗脱,柱温35℃,流量0.2 mL·min-1,多反应离子监测模式同时测定乌药叶10个成分,结合方差分析、聚类热图、熵权TOPSIS和灰色关联法对不同干燥方式后乌药叶多元化学成分进行综合评价。结果10个成分在一定的浓度范围内线性良好,相关系数均>0.9916;仪器精密度、方法重复性和供试品稳定性良好,RSD均<5%;加样回收率在99.13%~103.07%,RSD值均<5%。方差分析表明不同干燥方式后乌药叶6个成分差异具有统计学意义(P<0.05);聚类热图结果显示经不同干燥方式后各成分呈明显聚集趋势;TOPSIS与灰色关联法分析结果基本一致,最终经阴凉通风摊晾干燥处理后成分保留效果最佳。结论所建立的方法准确、可靠,可为乌药叶适宜的加工方式和品质规范化生产提供参考。展开更多
The study was conducted to evaluate 12 traits of 15 hybrid maize culti- vars using multi-factor comprehensive appraisal. The results showed that Xianyu 335, ND8 and ND2 were better than other cultivars in these agrono...The study was conducted to evaluate 12 traits of 15 hybrid maize culti- vars using multi-factor comprehensive appraisal. The results showed that Xianyu 335, ND8 and ND2 were better than other cultivars in these agronomic traits. Multi- factor comprehensive appraisal with simple computing, comprehensive and reason- able results is suitable to be used for evaluating the performance of hybrid maize cultivars in field.展开更多
基金funded by the National Natural Science Foundation of China[52106246]the Postgraduate Research&Practice innovation Program of Jiangsu Province[KYCX24_1641].
文摘Based on the rapid advancements in nanomaterials and nanotechnology,the Nanofluidic Reverse Electrodialysis(NRED)has attracted significant attention as an innovative and promising energy conversion strategy for extracting sustainable and clean energy fromthe salinity gradient energy.However,the scarcity of research investigating the intricate multi-factor coupling effects on the energy conversion performance,especially the trade-offs between ion selectivity and mass transfer in nanochannels,of NRED poses a great challenge to achieving breakthroughs in energy conversion processes.This numerical study innovatively investigates the multi-factor coupling effect of three critical operational factors,including the nanochannel configuration,the temperature field,and the concentration difference,on the energy conversion processes of NRED.In this work,a dimensionless amplitude parameter s is introduced to emulate the randomly varied wall configuration of nanochannels that inherently occur in practical applications,thereby enhancing the realism and applicability of our analysis.Numerical results reveal that the application of a temperature gradient,which is oriented in opposition to the concentration gradient,enhances the ion transportation and selectivity simultaneously,leading to an enhancement in both output power and energy conversion efficiency.Additionally,the increased fluctuation of the nanochannel wall from s=0 to s=0.08 improves ion selectivity yet raises ion transport resistance,resulting in an enhancement in output power and energy conversion efficiency but a slight reduction in current.Furthermore,with increasing the concentration ratio cH/cL from 10 to 1000,either within a fixed temperature field or at a constant dimensionless amplitude,the maximumpower consistently attains its optimal value at a concentration ratio of 100 but the cation transfer number experiences amonotonic decrease across this entire range of concentration ratios.Finally,uponmodifying the operational parameters fromthe baseline condition of s=0,c_(H)/c_(L)=10,andΔT=0 K to the targetedconditionof s=0.08,c_(H)/c_(L)=50,andΔT=25 K,there is a concerted improvement observed in the open-circuit potential,short-circuit current,andmaximumpower,with respective increments of 8.86%,204.97%,and 232.01%,but a reduction in cation transfer number with a notable decrease of 15.37%.
基金the National Key Technology Research and Development Program of China(Nos.2018YFC1900603 and 2018YFC0604604)。
文摘In order to solve the problem of strength instability of cemented tailings backfill(CTB)under low temperature environment(≤20℃),the strength optimization and prediction of CTB under the influence of multiple factors were carried out.The response surface method(RSM)was used to design the experiment to analyze the development law of backfill strength under the coupling effect of curing temperature,sand-cement ratio and slurry mass fraction,and to optimize the mix proportion;the artificial neural network algorithm(ANN)and particle swarm optimization algorithm(PSO)were used to build the prediction model of backfill strength.According to the experimental results of RSM,the optimal mix proportion under different curing temperatures was obtained.When the curing temperature is 10-15℃,the best mix proportion of sand-cement ratio is 9,and the slurry mass fraction is 71%;when the curing temperature is 15-20℃,the best mix proportion of sand-cement ratio is 8,and the slurry mass fraction is 69%.The ANN-PSO intelligent model can accurately predict the strength of CTB,its mean relative estimation error value and correlation coefficient value are only 1.95%and 0.992,and the strength of CTB under different mix proportion can be predicted quickly and accurately by using this model.
文摘目的基于超高效液相色谱-串联四级杆/线性离子阱质谱(ultra high performance liquid chromatography tandem fourth stage rod/linear ion trap mass spectrometry,UPLC-QTRAP-MS/MS)和多元统计分析,考察和评价不同干燥方式对乌药叶成分的影响。方法采用UPLC-QTRAP-MS/MS技术,以ACQUITY UPLC?HSS T3(100 mm×2.1 mm,1.8μm)色谱柱分离,0.1%甲酸溶液(A相)-乙腈(B相)为流动相;梯度洗脱,柱温35℃,流量0.2 mL·min-1,多反应离子监测模式同时测定乌药叶10个成分,结合方差分析、聚类热图、熵权TOPSIS和灰色关联法对不同干燥方式后乌药叶多元化学成分进行综合评价。结果10个成分在一定的浓度范围内线性良好,相关系数均>0.9916;仪器精密度、方法重复性和供试品稳定性良好,RSD均<5%;加样回收率在99.13%~103.07%,RSD值均<5%。方差分析表明不同干燥方式后乌药叶6个成分差异具有统计学意义(P<0.05);聚类热图结果显示经不同干燥方式后各成分呈明显聚集趋势;TOPSIS与灰色关联法分析结果基本一致,最终经阴凉通风摊晾干燥处理后成分保留效果最佳。结论所建立的方法准确、可靠,可为乌药叶适宜的加工方式和品质规范化生产提供参考。
基金Supported by the Fund of Development and Industrialization of New Maize Cultivar 702(131100110100)~~
文摘The study was conducted to evaluate 12 traits of 15 hybrid maize culti- vars using multi-factor comprehensive appraisal. The results showed that Xianyu 335, ND8 and ND2 were better than other cultivars in these agronomic traits. Multi- factor comprehensive appraisal with simple computing, comprehensive and reason- able results is suitable to be used for evaluating the performance of hybrid maize cultivars in field.
