Phase change materials (PCMs) can be incorporated with low-cost minerals to synthesize composites for thermal energy storage in building applications.Stone coal (SC) after vanadium extraction treatment shows potential...Phase change materials (PCMs) can be incorporated with low-cost minerals to synthesize composites for thermal energy storage in building applications.Stone coal (SC) after vanadium extraction treatment shows potential for secondary utilization in composite preparation.We prepared SC-based composite PCMs with SC as a matrix,stearic acid (SA) as a PCM,and expanded graphite (EG) as an additive.The combined roasting and acid leaching treatment of raw SC was conducted to understand the effect of vanadium extraction on promoting loading capacity.Results showed that the combined treatment of roasting at 900℃ and leaching increased the SC loading of the composite by 6.2%by improving the specific surface area.The loading capacity and thermal conductivity of the composite obviously increased by 127%and 48.19%,respectively,due to the contribution of 3wt% EG.These data were supported by the high load of 66.69%and thermal conductivity of 0.59 W·m^(-1)·K-1of the designed composite.The obtained composite exhibited a phase change temperature of 52.17℃,melting latent heat of 121.5 J·g^(-1),and good chemical compatibility.The SC-based composite has prospects in building applications exploiting the secondary utilization of minerals.展开更多
The situation of porous ceramics prepared from industrial waste slag(fly ash,red mud,metallurgical slag,tailings,etc.)was summarized.It was pointed out that the preparation of porous ceramics from industrial waste sla...The situation of porous ceramics prepared from industrial waste slag(fly ash,red mud,metallurgical slag,tailings,etc.)was summarized.It was pointed out that the preparation of porous ceramics from industrial waste slag can bring long-term economic and social benefits.The development trend of secondary utilization of industrial waste slag was also prospected.展开更多
Retired batteries for secondary use offer significant economic benefits and environmental value.Accurate sorting of retired batteries with diverse characteristics can further enhance their application efficiency.Howev...Retired batteries for secondary use offer significant economic benefits and environmental value.Accurate sorting of retired batteries with diverse characteristics can further enhance their application efficiency.However,in practical sorting processes,the presence of redundant features,noise interference,and distribution discrepancies in the data severely limits the accuracy of sorting outcomes.To address these challenges,this paper proposes an enhanced retired battery sorting strategy that incorporates feature selection and a clustering algorithm,aiming to optimize the sorting process from the perspective of feature data.To address feature redundancy and high dimensionality issues,this paper proposes an entropy screening method.The Local Outlier Factor algorithm is used to remove anomalous samples.Subsequently,an ensemble clustering approach is developed based on Kmeans,Density-Based Spatial Clustering of Applications with Noise,Gaussian Mixture Model,and Spectral clustering,to handle diverse data distributions.The proposed method is validated on 100 retired batteries as well as the large-scale dataset.Additionally,its strong sorting capability and engineering applicability are further demonstrated through carefully designed aging-controlled experiments.展开更多
基金financially supported by the National Natural Science Foundation of China, China (Nos. 52274252 and 51874047)the Special Fund for the Construction of Innovative Provinces in Hunan Province, China (No. 2020RC3038)the Changsha City Fund for Distinguished and Innovative Young Scholars, China (No. kq1802007)。
文摘Phase change materials (PCMs) can be incorporated with low-cost minerals to synthesize composites for thermal energy storage in building applications.Stone coal (SC) after vanadium extraction treatment shows potential for secondary utilization in composite preparation.We prepared SC-based composite PCMs with SC as a matrix,stearic acid (SA) as a PCM,and expanded graphite (EG) as an additive.The combined roasting and acid leaching treatment of raw SC was conducted to understand the effect of vanadium extraction on promoting loading capacity.Results showed that the combined treatment of roasting at 900℃ and leaching increased the SC loading of the composite by 6.2%by improving the specific surface area.The loading capacity and thermal conductivity of the composite obviously increased by 127%and 48.19%,respectively,due to the contribution of 3wt% EG.These data were supported by the high load of 66.69%and thermal conductivity of 0.59 W·m^(-1)·K-1of the designed composite.The obtained composite exhibited a phase change temperature of 52.17℃,melting latent heat of 121.5 J·g^(-1),and good chemical compatibility.The SC-based composite has prospects in building applications exploiting the secondary utilization of minerals.
基金financially supported by the open research fund for the State Key Laboratory of Advanced Refractories (Grant No. SKLAR201904)Fundamental Research Fund for the Central Universities (Grant No. N150204021)National Natural Science Foundation of China (Grant No. 51772277)
文摘The situation of porous ceramics prepared from industrial waste slag(fly ash,red mud,metallurgical slag,tailings,etc.)was summarized.It was pointed out that the preparation of porous ceramics from industrial waste slag can bring long-term economic and social benefits.The development trend of secondary utilization of industrial waste slag was also prospected.
基金supported partly by Research Project for Hunan Provincial Department of Education(Grant No.24B0158)partly by the National Natural Science Foundation of China(Grant No.62003288)+1 种基金partly by the Key Project of Research and Development Plan of Hunan Province(Grant No.2023GK2030)partly by the State Key Labora-tory of Advanced Design and Manufacturing Technology for Vehicle(Grant No.72375003).
文摘Retired batteries for secondary use offer significant economic benefits and environmental value.Accurate sorting of retired batteries with diverse characteristics can further enhance their application efficiency.However,in practical sorting processes,the presence of redundant features,noise interference,and distribution discrepancies in the data severely limits the accuracy of sorting outcomes.To address these challenges,this paper proposes an enhanced retired battery sorting strategy that incorporates feature selection and a clustering algorithm,aiming to optimize the sorting process from the perspective of feature data.To address feature redundancy and high dimensionality issues,this paper proposes an entropy screening method.The Local Outlier Factor algorithm is used to remove anomalous samples.Subsequently,an ensemble clustering approach is developed based on Kmeans,Density-Based Spatial Clustering of Applications with Noise,Gaussian Mixture Model,and Spectral clustering,to handle diverse data distributions.The proposed method is validated on 100 retired batteries as well as the large-scale dataset.Additionally,its strong sorting capability and engineering applicability are further demonstrated through carefully designed aging-controlled experiments.
