Rapid prediction of flow and concentration fields in solid-liquid suspensions of slurry electrolysis tanks

Slurry electrolysis(SE),as a hydrometallurgical process,has the characteristic of a multitank series connection,which leads to various stirring conditions and a complex solid suspension state.The computational fluid dynamics(CFD),which requires high computing resources,and a combination with machine learning was proposed to construct a rapid prediction model for the liquid flow and solid concentration fields in a SE tank.Through scientific selection of calculation samples via orthogonal experiments,a comprehensive dataset covering a wide range of conditions was established while effectively reducing the number of simulations and providing reasonable weights for each factor.Then,a prediction model of the SE tank was constructed using the K-nearest neighbor algorithm.The results show that with the increase in levels of orthogonal experiments,the prediction accuracy of the model improved remarkably.The model established with four factors and nine levels can accurately predict the flow and concentration fields,and the regression coefficients of average velocity and solid concentration were 0.926 and 0.937,respectively.Compared with traditional CFD,the response time of field information prediction in this model was reduced from 75 h to 20 s,which solves the problem of serious lag in CFD applied alone to actual production and meets real-time production control requirements.

2020 roadmap on two-dimensional materials for energy storage and conversion

Energy storage and conversion have attained significant intere st owing to its important applications that reduce CO2 emission through employing green energy.Some promising technologies are included metalair batteries,metal-sulfur batteries,metal-ion batteries,electrochemical capacitors,etc.Here,metal elements are involved with lithium,sodium,and magnesium.For these devices,electrode materials are of importance to obtain high performance.Two-dimensional(2 D) materials are a large kind of layered structured materials with promising future as energy storage materials,which include graphene,black phosporu s,MXenes,covalent organic frameworks(COFs),2 D oxides,2 D chalcogenides,and others.Great progress has been achieved to go ahead for 2 D materials in energy storage and conversion.More researchers will join in this research field.Under the background,it has motivated us to contribute with a roadmap on ’two-dimensional materials for energy storage and conversion.