The design of solid armature of railgun should take full account of its operating conditions and material properties because the armature is subjected to dynamic loading conditions and experiences a complicated electr...The design of solid armature of railgun should take full account of its operating conditions and material properties because the armature is subjected to dynamic loading conditions and experiences a complicated electrical,thermal and mechanical process in the interior ballistic cycle.In this paper present,we first introduced a multi-physical field model of railgun,followed by several examples to investigate the launching process.Especially,we used the explicit finite element method,in which material nonlinearity and geometric nonlinearity were accounted,to investigate the deform behaviors of solid armature.The results show that the dynamic mechanical process of armature is dependent on the armature geometry,material and exciting electric current.By the numerical simulation,the understanding of the fracture mechanism of solid armature was deepened.展开更多
Railgun launcher design relies on appropriate models. A multi-field coupled model of railgun launcher was presented in this paper. The 3D transient multi-field was composed of electromagnetic field, thermal field and ...Railgun launcher design relies on appropriate models. A multi-field coupled model of railgun launcher was presented in this paper. The 3D transient multi-field was composed of electromagnetic field, thermal field and structural field. The magnetic diffusion equations were solved by a finite-element boundary-element coupling method. The thermal diffusion equations and structural equations were solved by a finite element method. A coupled calculation was achieved by the transfer data from the electromagnetic field to the thermal and structural fields. Some characteristics of railgun shot, such as velocity skin effect, melt-wave erosion and magnetic sawing, which are generated under the condition of large-current and high-speed sliding electrical contact, were demonstrated by numerical simulation.展开更多
Region partition(RP) is the key technique to the finite element parallel computing(FEPC),and its performance has a decisive influence on the entire process of analysis and computation.The performance evaluation index ...Region partition(RP) is the key technique to the finite element parallel computing(FEPC),and its performance has a decisive influence on the entire process of analysis and computation.The performance evaluation index of RP method for the three-dimensional finite element model(FEM) has been given.By taking the electric field of aluminum reduction cell(ARC) as the research object,the performance of two classical RP methods,which are Al-NASRA and NGUYEN partition(ANP) algorithm and the multi-level partition(MLP) method,has been analyzed and compared.The comparison results indicate a sound performance of ANP algorithm,but to large-scale models,the computing time of ANP algorithm increases notably.This is because the ANP algorithm determines only one node based on the minimum weight and just adds the elements connected to the node into the sub-region during each iteration.To obtain the satisfied speed and the precision,an improved dynamic self-adaptive ANP(DSA-ANP) algorithm has been proposed.With consideration of model scale,complexity and sub-RP stage,the improved algorithm adaptively determines the number of nodes and selects those nodes with small enough weight,and then dynamically adds these connected elements.The proposed algorithm has been applied to the finite element analysis(FEA) of the electric field simulation of ARC.Compared with the traditional ANP algorithm,the computational efficiency of the proposed algorithm has been shortened approximately from 260 s to 13 s.This proves the superiority of the improved algorithm on computing time performance.展开更多
电磁场有限元仿真软件在电磁设计和分析中至关重要。然而商业软件价格高昂且功能冗余,同时随着人工智能(AI)的发展,深度学习与传统数值模拟的结合提升了仿真精度和效率。为此,亟须开发自主可控、轻量化、面向企业定制的智能仿真软件。...电磁场有限元仿真软件在电磁设计和分析中至关重要。然而商业软件价格高昂且功能冗余,同时随着人工智能(AI)的发展,深度学习与传统数值模拟的结合提升了仿真精度和效率。为此,亟须开发自主可控、轻量化、面向企业定制的智能仿真软件。该文首先提出了双向耦合的设计方法,使仿真软件能适应复杂需求。然后,基于模型系统工程(MBSE)方法,建立四个层级的电磁场有限元仿真软件的架构设计流程,并完成软件的建模,实现了系统结构和行为的定义和可视化。最后,基于Python开发了集成AI的软件原型IFEM,并通过两个实际案例验证了其功能和准确性。研究成果提高了软件开发的质量、效率和知识传承能力,为数值模拟工业软件在AI for Science背景下的AI集成提供了有效思路。展开更多
针对高速电机和飞轮储能系统等对空间利用率要求较高的场合,提出一种新型异极径向混合磁轴承(heteropolar radial hybrid magnetic bearing,HRHMB).首先,建立该磁轴承的等效磁路模型,通过解析磁场得出其电流刚度、位移刚度及电磁力,并...针对高速电机和飞轮储能系统等对空间利用率要求较高的场合,提出一种新型异极径向混合磁轴承(heteropolar radial hybrid magnetic bearing,HRHMB).首先,建立该磁轴承的等效磁路模型,通过解析磁场得出其电流刚度、位移刚度及电磁力,并通过有限元仿真验证其有效性;然后,在相同约束条件下与传统偏置磁轴承进行对比,分析磁轴承的刚度特性和空间利用率;最后,通过有限元仿真研究新型磁轴承径向两自由度间的电磁力耦合,并与传统磁轴承进行对比.研究结果表明:在相同承载力等约束条件下,该新型磁轴承的体积仅为传统磁轴承的0.87倍,其电磁力在控制电流和转子位移影响下的相对误差值为6.5%,而传统磁轴承的电磁力相对误差为13.6%,表明新型磁轴承径向两自由度的电磁力耦合小于传统磁轴承,解耦效果良好.展开更多
文摘The design of solid armature of railgun should take full account of its operating conditions and material properties because the armature is subjected to dynamic loading conditions and experiences a complicated electrical,thermal and mechanical process in the interior ballistic cycle.In this paper present,we first introduced a multi-physical field model of railgun,followed by several examples to investigate the launching process.Especially,we used the explicit finite element method,in which material nonlinearity and geometric nonlinearity were accounted,to investigate the deform behaviors of solid armature.The results show that the dynamic mechanical process of armature is dependent on the armature geometry,material and exciting electric current.By the numerical simulation,the understanding of the fracture mechanism of solid armature was deepened.
文摘Railgun launcher design relies on appropriate models. A multi-field coupled model of railgun launcher was presented in this paper. The 3D transient multi-field was composed of electromagnetic field, thermal field and structural field. The magnetic diffusion equations were solved by a finite-element boundary-element coupling method. The thermal diffusion equations and structural equations were solved by a finite element method. A coupled calculation was achieved by the transfer data from the electromagnetic field to the thermal and structural fields. Some characteristics of railgun shot, such as velocity skin effect, melt-wave erosion and magnetic sawing, which are generated under the condition of large-current and high-speed sliding electrical contact, were demonstrated by numerical simulation.
基金Project(61273187)supported by the National Natural Science Foundation of ChinaProject(61321003)supported by the Foundation for Innovative Research Groups of the National Natural Science Foundation of China
文摘Region partition(RP) is the key technique to the finite element parallel computing(FEPC),and its performance has a decisive influence on the entire process of analysis and computation.The performance evaluation index of RP method for the three-dimensional finite element model(FEM) has been given.By taking the electric field of aluminum reduction cell(ARC) as the research object,the performance of two classical RP methods,which are Al-NASRA and NGUYEN partition(ANP) algorithm and the multi-level partition(MLP) method,has been analyzed and compared.The comparison results indicate a sound performance of ANP algorithm,but to large-scale models,the computing time of ANP algorithm increases notably.This is because the ANP algorithm determines only one node based on the minimum weight and just adds the elements connected to the node into the sub-region during each iteration.To obtain the satisfied speed and the precision,an improved dynamic self-adaptive ANP(DSA-ANP) algorithm has been proposed.With consideration of model scale,complexity and sub-RP stage,the improved algorithm adaptively determines the number of nodes and selects those nodes with small enough weight,and then dynamically adds these connected elements.The proposed algorithm has been applied to the finite element analysis(FEA) of the electric field simulation of ARC.Compared with the traditional ANP algorithm,the computational efficiency of the proposed algorithm has been shortened approximately from 260 s to 13 s.This proves the superiority of the improved algorithm on computing time performance.
文摘电磁场有限元仿真软件在电磁设计和分析中至关重要。然而商业软件价格高昂且功能冗余,同时随着人工智能(AI)的发展,深度学习与传统数值模拟的结合提升了仿真精度和效率。为此,亟须开发自主可控、轻量化、面向企业定制的智能仿真软件。该文首先提出了双向耦合的设计方法,使仿真软件能适应复杂需求。然后,基于模型系统工程(MBSE)方法,建立四个层级的电磁场有限元仿真软件的架构设计流程,并完成软件的建模,实现了系统结构和行为的定义和可视化。最后,基于Python开发了集成AI的软件原型IFEM,并通过两个实际案例验证了其功能和准确性。研究成果提高了软件开发的质量、效率和知识传承能力,为数值模拟工业软件在AI for Science背景下的AI集成提供了有效思路。
文摘针对高速电机和飞轮储能系统等对空间利用率要求较高的场合,提出一种新型异极径向混合磁轴承(heteropolar radial hybrid magnetic bearing,HRHMB).首先,建立该磁轴承的等效磁路模型,通过解析磁场得出其电流刚度、位移刚度及电磁力,并通过有限元仿真验证其有效性;然后,在相同约束条件下与传统偏置磁轴承进行对比,分析磁轴承的刚度特性和空间利用率;最后,通过有限元仿真研究新型磁轴承径向两自由度间的电磁力耦合,并与传统磁轴承进行对比.研究结果表明:在相同承载力等约束条件下,该新型磁轴承的体积仅为传统磁轴承的0.87倍,其电磁力在控制电流和转子位移影响下的相对误差值为6.5%,而传统磁轴承的电磁力相对误差为13.6%,表明新型磁轴承径向两自由度的电磁力耦合小于传统磁轴承,解耦效果良好.
