Beryllium-containing sludge(BCS)is a typical hazardous waste from Be smelting,which can cause serious harm to ecology and human health by releasing harmful Be if it is stored long-term in environment.Nonetheless,the o...Beryllium-containing sludge(BCS)is a typical hazardous waste from Be smelting,which can cause serious harm to ecology and human health by releasing harmful Be if it is stored long-term in environment.Nonetheless,the occurrence of Be in BCS is unclear,which seriously hinders the development of pollution control technologies.In order to enhance the understanding of BCS,the occurrence of Be and the microscale interactions with coexisting phases were investigated for the first time.It was found that CaSO_(4)·2H_(2)O and amorphous SiO_(2) are the primary phases of BCS.The simulated experiments of purified materials showed that Be interacted with CaSO_(4)·2H_(2)O and amorphous SiO_(2).Be can enter into the lattice of CaSO_(4)·2H_(2)O mainly as free Be2+.Amorphous SiO_(2) can adsorb Be2+particularly at a pH range of 3–5.The dissolution behavior experiment of BCS shows that about 52%of the Be is readily extracted under acidic conditions,which refers to the Be of independent occurrence.In contrast,the remaining 48%of Be can be extracted only after the CaSO_(4)·2H_(2)O has completely dissolved.Hence,CaSO_(4)·2H_(2)O is identified as the key occurrence phase which determines the highly efficient dissolution of Be.As a result,this study enhances the understanding of BCS and lays the foundation for the development of Be separation technologies.展开更多
An innovative and effective method of separating chicken meat and bone from chicken skeleton was developed in this study. Different heating approaches to chicken skeleton were compared to optimize cooking conditions i...An innovative and effective method of separating chicken meat and bone from chicken skeleton was developed in this study. Different heating approaches to chicken skeleton were compared to optimize cooking conditions including cooking temperature and cooking time. The separation efficiency of chicken meat and bone in different conditions, including flow direction, impeller speed and the liquid level rising velocity were also studied. Experimental results demonstrated high temperature cooking and assisted mechanical stirring could improve separating rate of chicken skeleton. Liquid flow entering at tangent entrance direction of the kettle could maintain the stability of the liquid level and smoothness of the separation process. The outflow rate of chicken meat increased as the liquid level rising velocity raised, and approached to the maximum value at 0.80 cm/s. The practical application test showed that the best conditions for separation of chicken skeleton were: 45 min cooking time at 114°C;tangent flow direction;stir speed of 200 r/min;the liquid level rising velocity of water is 0.8 cm/s. Using this approach, the value of chicken bone was increased, product specialization was enhanced, and the results could be used in future high value chicken product development.展开更多
An initialization-improved equilibrium constant method was used for modelling the copper matte smelting process with flash technology.Initial molar amounts of species were calculated by distributing the amounts of giv...An initialization-improved equilibrium constant method was used for modelling the copper matte smelting process with flash technology.Initial molar amounts of species were calculated by distributing the amounts of given elements.The species containing the largest amount of one element was chosen to be the corresponding thermodynamic component.The equilibrium values were derived via the Newton−Raphson method and converted to industrial forecast values using the mechanical entrainment equations.The results indicate that the calculated equilibrium value for copper concentration in the slag is 0.32 wt.%,while the industrial forecast value is 1.03 wt.%,with the industrial value being 1.13 wt.%.The present model required only 31 outer loops to derive the approximate solution close to the equilibrium value.The iterative path during the computation is considerably reduced and the risk of non-convergence during the computation is decreased.展开更多
This study explores the application of artificial intelligence-based teaching supervision systems in vocational education,addressing challenges in traditional teaching and supervision.The system leverages real-time mo...This study explores the application of artificial intelligence-based teaching supervision systems in vocational education,addressing challenges in traditional teaching and supervision.The system leverages real-time monitoring,behavior recognition,and data analysis to enhance teaching quality and management efficiency.A case study demonstrates significant improvements in student engagement,discipline,and personalized learning outcomes,with classroom interaction rates increasing by 25%and discipline issues decreasing by 40%.Despite challenges in accuracy,data storage,and ethical concerns,the integration of advanced technologies like virtual reality and blockchain offers promising potential for intelligent,data-driven educational models and quality improvement.展开更多
基金supported by the National Natural Science Foundation of China(No.22276219)the foundation for Innovative Research Groups of the National Natural Science Foundation of China(No.52121004)+1 种基金the major program Natural Science Foundation of Hunan Province of China(No.2021JC0001)the Fundamental Research Funds for the Central Universities of Central South University(No.2024ZZTS0063).
文摘Beryllium-containing sludge(BCS)is a typical hazardous waste from Be smelting,which can cause serious harm to ecology and human health by releasing harmful Be if it is stored long-term in environment.Nonetheless,the occurrence of Be in BCS is unclear,which seriously hinders the development of pollution control technologies.In order to enhance the understanding of BCS,the occurrence of Be and the microscale interactions with coexisting phases were investigated for the first time.It was found that CaSO_(4)·2H_(2)O and amorphous SiO_(2) are the primary phases of BCS.The simulated experiments of purified materials showed that Be interacted with CaSO_(4)·2H_(2)O and amorphous SiO_(2).Be can enter into the lattice of CaSO_(4)·2H_(2)O mainly as free Be2+.Amorphous SiO_(2) can adsorb Be2+particularly at a pH range of 3–5.The dissolution behavior experiment of BCS shows that about 52%of the Be is readily extracted under acidic conditions,which refers to the Be of independent occurrence.In contrast,the remaining 48%of Be can be extracted only after the CaSO_(4)·2H_(2)O has completely dissolved.Hence,CaSO_(4)·2H_(2)O is identified as the key occurrence phase which determines the highly efficient dissolution of Be.As a result,this study enhances the understanding of BCS and lays the foundation for the development of Be separation technologies.
文摘An innovative and effective method of separating chicken meat and bone from chicken skeleton was developed in this study. Different heating approaches to chicken skeleton were compared to optimize cooking conditions including cooking temperature and cooking time. The separation efficiency of chicken meat and bone in different conditions, including flow direction, impeller speed and the liquid level rising velocity were also studied. Experimental results demonstrated high temperature cooking and assisted mechanical stirring could improve separating rate of chicken skeleton. Liquid flow entering at tangent entrance direction of the kettle could maintain the stability of the liquid level and smoothness of the separation process. The outflow rate of chicken meat increased as the liquid level rising velocity raised, and approached to the maximum value at 0.80 cm/s. The practical application test showed that the best conditions for separation of chicken skeleton were: 45 min cooking time at 114°C;tangent flow direction;stir speed of 200 r/min;the liquid level rising velocity of water is 0.8 cm/s. Using this approach, the value of chicken bone was increased, product specialization was enhanced, and the results could be used in future high value chicken product development.
基金supported by the National Natural Science Fund for Distinguished Young Scholars(No.51825403)Foundation for Innovative Research Groups of the National Natural Science Foundation of China(No.52121004)+2 种基金the Science and Technology Innovation Program of Hunan Province,China(No.2021RC3013)the National Key R&D Program of China(No.2022YFC3901602)the Major Science and Technology Project of Gansu Province,China(No.21ZD4GD033).
文摘An initialization-improved equilibrium constant method was used for modelling the copper matte smelting process with flash technology.Initial molar amounts of species were calculated by distributing the amounts of given elements.The species containing the largest amount of one element was chosen to be the corresponding thermodynamic component.The equilibrium values were derived via the Newton−Raphson method and converted to industrial forecast values using the mechanical entrainment equations.The results indicate that the calculated equilibrium value for copper concentration in the slag is 0.32 wt.%,while the industrial forecast value is 1.03 wt.%,with the industrial value being 1.13 wt.%.The present model required only 31 outer loops to derive the approximate solution close to the equilibrium value.The iterative path during the computation is considerably reduced and the risk of non-convergence during the computation is decreased.
基金2023 Education and Teaching Research Projects of China“Construction Education Association-Exploration and Practice of Digital Talent Cultivation for Intelligent Buildings Oriented towards China-ASEAN”(2023265)2024 Education and Teaching Reform Research Project of Guangxi Water Resources and Electric Power Vocational and Technical College“Exploration and Research on the Training Model of Innovative Digital Building Talents for China-ASEAN”(2024jgyb19)。
文摘This study explores the application of artificial intelligence-based teaching supervision systems in vocational education,addressing challenges in traditional teaching and supervision.The system leverages real-time monitoring,behavior recognition,and data analysis to enhance teaching quality and management efficiency.A case study demonstrates significant improvements in student engagement,discipline,and personalized learning outcomes,with classroom interaction rates increasing by 25%and discipline issues decreasing by 40%.Despite challenges in accuracy,data storage,and ethical concerns,the integration of advanced technologies like virtual reality and blockchain offers promising potential for intelligent,data-driven educational models and quality improvement.
