Waste heat recovery from hot steel slag was determined in a granular bed through the combination of numerical simulation and an industrial test ***,the effective thermal conductivity of the granular bed was ***,the un...
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Waste heat recovery from hot steel slag was determined in a granular bed through the combination of numerical simulation and an industrial test ***,the effective thermal conductivity of the granular bed was ***,the unsteady-state model was used to simulate the heat recovery under three different flow fields(O-type,S-type,and nonshielding type(Nontype)).Second,the simulation results were validated by in-situ industrial *** two methods confirmed that the heat recovery efficiencies of the flow fields from high to low followed the order of Nontype,S-type,and ***,heat recovery was carried out under the Nontype flow field in an industrial *** heat recovery efficiency increased from~76%and~78%to~81%when the steel slag thickness decreased from 400 and 300 to 200 mm,corresponding to reductions in the steel slag mass from 3.96 and 2.97 to 1.98 t with a blower air volume of 14687 m^(3)/***,the research results showed that numerical simulation can not only guide experiments on waste heat recovery but also optimize the flow *** importantly,the method proposed in this paper has achieved higher waste heat recovery from hot steel slag in industrial scale.
Asynchronous interconnected systems connected by High-Voltage Direct Current (HVDC) transmission lines struggle with frequency support between interconnected areas, increasing the risk of frequency instability and res...
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Asynchronous interconnected systems connected by High-Voltage Direct Current (HVDC) transmission lines struggle with frequency support between interconnected areas, increasing the risk of frequency instability and resulting in low efficiency in frequency resource utilization. This study establishes a frequency dynamic analysis model for asynchronous interconnected power grids and develops an HVDC frequency controller for frequency control in these systems. It analyzes the control effects of HVDC frequency under two scenarios: without Automatic Generation Control (AGC) and with AGC. The research conducts an in-depth study on the system stability and frequency control parameter optimization for HVDC-asynchronous interconnected systems, significantly improving the system's response speed and accuracy under various conditions through parameter optimization. Furthermore, the introduction of AGC demonstrates good adaptability, and a comparative analysis of HVDC frequency control effects under different AGC control modes is conducted. Finally, case studies validate the effectiveness and robustness of the proposed optimization scheme for frequency stability control in asynchronous interconnected systems under various fault scenarios.
Lightweight structural materials with high strength and toughness are highly desirable for many advanced ***,as a sustainable structural material,is widely used in engineer-ing due to its abundance and excellent mecha...
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Lightweight structural materials with high strength and toughness are highly desirable for many advanced ***,as a sustainable structural material,is widely used in engineer-ing due to its abundance and excellent mechanical *** this paper,we report a self-densification strategy to develop super-strong wood by reassembling highly aligned wood fibers as functional units and self-densified without the need for hot *** resulting self-densified wood exhibits ultra-high tensile strength(496.1 MPa),flexural strength(392.7 MPa)and impact toughness(75.2 kJ/m^(2)),surpassing those of compressed densified wood and traditional metal materials like aluminum ***,the self-densified wood exhibits uniform shrinkage in the cross-section while maintaining its longitudinal *** characteristic leads to an order-of-magnitude enhancement in the overall mechanical performance of the wood,presenting a significant advantage over compressed densified *** super-strong yet lightweight wood has great potential for application as a sustainable engineering material,replacing traditional structural materials such as metals and alloys.
The core equipment of lithium-ion battery energy storage stations is containers composed of thousands of batteries in series and parallel. Accurately estimating the state of charge (SOC) of batteries is of great signi...
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The core equipment of lithium-ion battery energy storage stations is containers composed of thousands of batteries in series and parallel. Accurately estimating the state of charge (SOC) of batteries is of great significance for improving battery utilization and ensuring system operation safety. This article establishes a 2-RC battery model. First, the Extended Kalman Filter (EKF) algorithm is used to obtain preliminary SOC estimates. Then, the updated error values of the Kalman matrix, the state variables obtained from the EKF algorithm, and the battery data during system operation are used as the training and test dataset for the Long Short-Term Memory (LSTM) neural network algorithm. Finally, the algorithm was compared and analyzed with commonly used EKF estimation methods and LSTM algorithms. It was found that the root-mean-square error of the SOC of the EKF-LSTM algorithm under different operating conditions was less than 0.8%, and the average absolute error was less than 0.5%. The estimation accuracy is higher than either the EKF algorithm or LSTM algorithm alone.
This study investigates photonuclear reaction(γ,n)cross-sections using Bayesian neural network(BNN)*** determining the optimal network architecture,which features two hidden layers,each with 50 hidden nodes,training ...
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This study investigates photonuclear reaction(γ,n)cross-sections using Bayesian neural network(BNN)*** determining the optimal network architecture,which features two hidden layers,each with 50 hidden nodes,training was conducted for 30,000 iterations to ensure comprehensive data *** analyzing the distribution of absolute errors positively correlated with the cross-section for the isotope 159Tb,as well as the relative errors unrelated to the cross-section,we confirmed that the network effectively captured the data features without *** with the TENDL-2021 Database demonstrated the BNN's reliability in fitting photonuclear cross-sections with lower average *** predictions for nuclei with single and double giant dipole resonance peak cross-sections,the accurate determination of the photoneutron reaction threshold in the low-energy region,and the precise description of trends in the high-energy cross-sections further demonstrate the network's generalization ability on the validation *** can be attributed to the consistency of the training *** using consistent training sets from different laboratories,Bayesian neural networks can predict nearby unknown cross-sections based on existing laboratory data,thereby estimating the potential differences between other laboratories'existing data and their own measurement *** measurements of photonuclear reactions on the newly constructed SLEGS beamline will contribute to clarifying the differences in cross-sections within the existing data.
The shrinkage and swelling phenomenon of clayey soils induces substantial effects on measurement and modeling of soil thermal and hydraulic properties. This study developed a combined heat-pulse and evaporation method...
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The shrinkage and swelling phenomenon of clayey soils induces substantial effects on measurement and modeling of soil thermal and hydraulic properties. This study developed a combined heat-pulse and evaporation method for simultaneous measurement of soil deformation, thermal, and hydraulic properties of clayey soils during drying-shrinkage processes. Four clayey soils with different textures and initial bulk densities (rho(b)) were subjected to evaporative-drying experiments. The results showed that the shrinkage process significantly altered the soil pore structure, water-holding capacity, and hydraulic conductivity. Neglecting the soil volume change during drying led to an underestimation of soil water retention, with maximum biases of 0.05-0.09 cm(3) cm(-3) in the water content (theta) at the same metric potential, and resulted in errors spanning several orders of magnitude in hydraulic conductivity at the same theta condition. The soil thermal properties, including volumetric heat capacity (C), thermal conductivity (lambda), and thermal diffusivity (alpha), exhibited distinct trends with changing theta and rho(b) compared to rigid soils. The C showed strong positive linear correlations with the theta, but the slopes were lower than those for rigid soils due to the offsetting effect of increasing rho(b). The lambda first increased and then decreased with the increasing theta, in contrast to the monotonic increase observed in rigid soils. The alpha had a strong negative linear relationship with the theta, contrary to the typical positive correlation in rigid soils. Meanwhile, effects of the changing rho(b) on the thermal properties were opposite than did the variation in theta. The findings highlight the importance of considering soil volume change when characterizing the coupled water-heat transport processes in expansive clayey soils. The developed method provides a useful tool for investigating the complex interactions between soil deformation, thermal and hydr
Battery thermal management with phase change materials (PCM) has been limited by leakage, low thermal conductivity and rigidity, and the inability to preheat at low temperatures. To solve these problems, a widetempera...
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Battery thermal management with phase change materials (PCM) has been limited by leakage, low thermal conductivity and rigidity, and the inability to preheat at low temperatures. To solve these problems, a widetemperature flexible composite PCM (FCPCM) was prepared with a high-temperature open refining method. Styrene ethylene butylene styrene (SEBS) and expanded graphite (EG) absorb paraffin (PA) onto a threedimensional network. The FCPCM possesses good flexibility before and after phase transition. It can be bent and stretched arbitrarily at room temperature, and the shape memory function enable it can be restored to its original state after heating. The latent heat of the FCPCM-15 is 159.9 J/g and its thermal conductivity was 7.45 times higher than that of pure paraffin. The FCPCM also possesses a good volume conductivity of 92-2952 S/m and allows for uniform electrical heating. The excellent thermal and electrical performance of the FCPCM allows it to cool batteries at high temperatures and preheat batteries at low temperatures. After ten charge/discharge cycles at 30 degrees C, the battery pack's temperature based on FCPCM cooling is still reduced by 3.9 degrees C. At a low temperature of -20 degrees C, the preheating rate of the battery pack can reach 12.9 degrees C/min, and the discharge voltage and capacity of the battery pack were increased by 15 % and 20.8 % after preheating. The FCPCM suggests a promising and practical approach way for the all-climate thermal management of batteries.
The emergence of photoinduced energy/electron transfer-reversible addition-fragmentation chain transfer polymerization (PET-RAFT) not only revolutionized the field of photopolymerization but also accelerated the devel...
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The emergence of photoinduced energy/electron transfer-reversible addition-fragmentation chain transfer polymerization (PET-RAFT) not only revolutionized the field of photopolymerization but also accelerated the development of porphyrin-based photocatalysts and their analogues. The continual expansion of the monomer family compatible with PET-RAFT polymerization enhances the range of light radiation that can be harnessed, providing increased flexibility in polymerization processes. Furthermore, the versatility of PET-RAFT polymerization extends beyond its inherent capabilities, enabling its integration with various technologies in diverse fields. This integration holds considerable promise for the advancement of biomaterials with satisfactory bioapplications. As researchers delve deeper into the possibilities afforded by PET-RAFT polymerization, the collaborative efforts of individuals from diverse disciplines will prove invaluable in unleashing its full potential. This Review presents a concise introduction to the fundamental principles of PET-RAFT, outlines the progress in photocatalyst development, highlights its primary applications, and offers insights for future advancements in this technique, paving the way for exciting innovations and applications.
Ammonia fertilizer, primarily composed of ammonium chloride, is widely used in pond fish farming throughout Asia. Despite the belief that it possesses antiviral properties, the underlying mechanisms remain unclear. Am...
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Ammonia fertilizer, primarily composed of ammonium chloride, is widely used in pond fish farming throughout Asia. Despite the belief that it possesses antiviral properties, the underlying mechanisms remain unclear. Ammonium chloride (NH4Cl) has been demonstrated to act as a potent inhibitor of autophagy, which is used by many fish viruses to promote their proliferation during infection. It was therefore hypothesized that the antiviral effect of ammonia fertilizers was likely due to the inhibition of autophagy in viruses. The present study sought to evaluate the antiviral effect of NH4Cl in a model of several fish cells and zebrafish. The findings demonstrated that the administration of NH4Cl after viral infection inhibited the proliferation of a variety of fish viruses, encompassing both DNA and RNA viruses. Further studies have indicated that NH4Cl obstructed autophagy-dependent virus proliferation of spring viremia of carp virus (SVCV) by inhibiting autophagic flux. The molecular mechanism revealed that SVCV contributed to the polyubiquitination of interferon regulatory factor 3 (IRF3) and promoted the degradation of IRF3 through cargo receptor sequestosome 1 (SQSTM1/p62)-mediated selective autophagy. However, NH4Cl was observed to inhibit SVCV-mediated selective autophagy of IRF3, thereby facilitating the production of interferon. Furthermore, the SVCV N protein was of critical importance in this process. Nevertheless, NH4Cl impeded this degradation process by inhibiting the autophagy pathway. The study found that NH4Cl was highly efficacious in controlling fish virus infection both in vivo and in vitro. It can therefore be concluded that the antiviral effect of ammonia fertilizers was, at least in part, due to the inhibition of viral autophagy.
ObjectiveThe purpose of this research was to evaluate the prognostic significance of preoperative albumin to fibrinogen (AFR) for postoperative delirium (POD) in older patients with non-neurosurgical and non-cardiac *...
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ObjectiveThe purpose of this research was to evaluate the prognostic significance of preoperative albumin to fibrinogen (AFR) for postoperative delirium (POD) in older patients with non-neurosurgical and non-cardiac *** retrospective cohort study included a group of patients aged 65 and above who underwent non-neurosurgical and non-cardiac surgery at the First Medical Center of Chinese PLA General Hospital from January 2014 to December 2021. AFR and POD correlation was evaluated through univariate and multivariable logistic regression analysis, as well as propensity score matching (PSM) and subgroup *** our study, the occurrence of POD was 2.9% (1566/53,609), with the AFR threshold identified as 10.625 based on the ROC curve. The study identified AFR <= 10.625 as a significant predictor of POD in both univariate and multivariable regression analyses, and the odds ratios (OR) were 2.65 (2.40-2.93), 1.98 (1.79-2.21), 1.51 (1.34-1.70), 1.27 (1.13-1.43) and 1.32 (1.14-1.53) in four models and the PSM *** is a valuable predictor for predicting the development of POD in older patients receiving non-neurosurgical and non-cardiac procedures. This finding highlights the importance of preoperative assessment of AFR in these patients to better predict and manage the risk of POD.
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