Nitrogen(N)-doped carbon nanosheets(TCM-900)were prepared by pyrolyzing the cobalt metal organic framework(MOF)and acid treatment.The TCM-900 showed outstanding ORR performance with half-potential of 0.805 V.The densi...Nitrogen(N)-doped carbon nanosheets(TCM-900)were prepared by pyrolyzing the cobalt metal organic framework(MOF)and acid treatment.The TCM-900 showed outstanding ORR performance with half-potential of 0.805 V.The density function theory(DFT)reveals the nitrogen activates the carbon atoms in the framework.The homemade ZAB with TCM-900 as ORR electrocatalyst exhibits high-power density of 45 mW·cm^(-2) and excellent long recharge cycling stability compared to Pt/C at 10 mA·cm^(-2).This work illustrates an attractive future of the rechargeable ZAB.展开更多
Fixture locating layout has a direct and influential impact on aeronautical thin-walled component(ATWC)manufacturing quality.The purpose is to develop a topological optimization method for ATWC fixture locating layout...Fixture locating layout has a direct and influential impact on aeronautical thin-walled component(ATWC)manufacturing quality.The purpose is to develop a topological optimization method for ATWC fixture locating layout to minimize the manufacturing deformation.Firstly,a topological optimization model that takes the stiffness of ATWC as the objective function and the volume of the locating structure as the constraint is established.Secondly,ATWC and the locating structure are regarded as an integrated entity,and the variable-density method based topological optimization approach is adopted for the optimization of the locating structure using ABAQUS topology optimization module(ATOM).Thirdly,through a subsequent model reconstruction referring to the obtained topological structure,the optimal fixture locating layout is achieved.Finally,a case study is conducted to verify the proposed method and the comparison results with firefly algorithm(FA)coupled with finite element analysis(FEA)indicate that the number and positions of the locators for ATWC can be optimized simultaneously and successfully by the proposed topological optimization model.展开更多
基金the National Natural Science Foundation of China(Nos.51875476,92067205 and 11902144)High Performance Computing Center。
文摘Nitrogen(N)-doped carbon nanosheets(TCM-900)were prepared by pyrolyzing the cobalt metal organic framework(MOF)and acid treatment.The TCM-900 showed outstanding ORR performance with half-potential of 0.805 V.The density function theory(DFT)reveals the nitrogen activates the carbon atoms in the framework.The homemade ZAB with TCM-900 as ORR electrocatalyst exhibits high-power density of 45 mW·cm^(-2) and excellent long recharge cycling stability compared to Pt/C at 10 mA·cm^(-2).This work illustrates an attractive future of the rechargeable ZAB.
基金supported by the National Natural Science Foundation of China(No.51375396)the Shaanxi Science and Technology Innovation Project Plan,China(No.2016KTCQ01-50)
文摘Fixture locating layout has a direct and influential impact on aeronautical thin-walled component(ATWC)manufacturing quality.The purpose is to develop a topological optimization method for ATWC fixture locating layout to minimize the manufacturing deformation.Firstly,a topological optimization model that takes the stiffness of ATWC as the objective function and the volume of the locating structure as the constraint is established.Secondly,ATWC and the locating structure are regarded as an integrated entity,and the variable-density method based topological optimization approach is adopted for the optimization of the locating structure using ABAQUS topology optimization module(ATOM).Thirdly,through a subsequent model reconstruction referring to the obtained topological structure,the optimal fixture locating layout is achieved.Finally,a case study is conducted to verify the proposed method and the comparison results with firefly algorithm(FA)coupled with finite element analysis(FEA)indicate that the number and positions of the locators for ATWC can be optimized simultaneously and successfully by the proposed topological optimization model.
