The present status and perspectives of Chinese die-casting market were commented. In 2003, the total output of die castings in the whole country was 708000 tons, in which the outputs of Al-alloy, Zn-alloy, Mg-alloy, C...The present status and perspectives of Chinese die-casting market were commented. In 2003, the total output of die castings in the whole country was 708000 tons, in which the outputs of Al-alloy, Zn-alloy, Mg-alloy, Cu-alloy die castings were 474600 tons, 222000 tons, 5800 tons, 5600 tons, respectively, each accounted for 67%, 31.35%, 0.85%, 0.8% of the total. The annual sale volume of die-casting machines was approximately 1800. And the gross output value of dies approached RMB 38 billion, in which die-casting dies accounted for about 10%. In the die-casting industry of the entire country, the foreign capital enterprises, public-run enterprises, township and village enterprises, private enterprises accounted for over 80% of the total die-casting enterprises. Super huge die-casting groups are forming.展开更多
This study is subject to the finite element and abd uc tive network method application in the multi-cavity die. In order to select the optimal cooling system parameters to minimize the warp of a die-casting die, t he ...This study is subject to the finite element and abd uc tive network method application in the multi-cavity die. In order to select the optimal cooling system parameters to minimize the warp of a die-casting die, t he Taguchi’s method and the abductive network are used. These methods are appli ed to create an efficient model with functional nodes for the considered problem . Once the cooling system parameters are developed, this network can be used to predict the warp for the die-casting die accurately. A simulated annealing (SA) optimization algorithm with a performance index is then applied to the neur al network for searching the optimal cooling system parameters, and obtain rathe r satisfactory result as compared with the corresponding finite element veri fication.展开更多
针对新能源汽车一体化超大型压铸的发展和未来巨大需求,亟需实现超大型压铸多物理场建模与超大规模高效高精度仿真计算,本研究基于完全自主研发的自适应结构化网格剖分算法,不可压缩格子玻尔兹曼热流体仿真求解器算法,以及实验测量+一...针对新能源汽车一体化超大型压铸的发展和未来巨大需求,亟需实现超大型压铸多物理场建模与超大规模高效高精度仿真计算,本研究基于完全自主研发的自适应结构化网格剖分算法,不可压缩格子玻尔兹曼热流体仿真求解器算法,以及实验测量+一维反算的铸件-铸型界面换热系数模型,研发了高性能云原生超大规模压铸模拟软件。计算案例结果表明:自适应结构化网格在复杂几何建模场景更为优异,对于一体式车身等超大型压铸件,其计算规模和并行效率均突破了传统铸造仿真软件的计算能力瓶颈,总体计算网格规模为1.22亿,计算CPU核心数为96核时,总计算时间仅为13 h 43 min。展开更多
文摘The present status and perspectives of Chinese die-casting market were commented. In 2003, the total output of die castings in the whole country was 708000 tons, in which the outputs of Al-alloy, Zn-alloy, Mg-alloy, Cu-alloy die castings were 474600 tons, 222000 tons, 5800 tons, 5600 tons, respectively, each accounted for 67%, 31.35%, 0.85%, 0.8% of the total. The annual sale volume of die-casting machines was approximately 1800. And the gross output value of dies approached RMB 38 billion, in which die-casting dies accounted for about 10%. In the die-casting industry of the entire country, the foreign capital enterprises, public-run enterprises, township and village enterprises, private enterprises accounted for over 80% of the total die-casting enterprises. Super huge die-casting groups are forming.
文摘This study is subject to the finite element and abd uc tive network method application in the multi-cavity die. In order to select the optimal cooling system parameters to minimize the warp of a die-casting die, t he Taguchi’s method and the abductive network are used. These methods are appli ed to create an efficient model with functional nodes for the considered problem . Once the cooling system parameters are developed, this network can be used to predict the warp for the die-casting die accurately. A simulated annealing (SA) optimization algorithm with a performance index is then applied to the neur al network for searching the optimal cooling system parameters, and obtain rathe r satisfactory result as compared with the corresponding finite element veri fication.
文摘针对新能源汽车一体化超大型压铸的发展和未来巨大需求,亟需实现超大型压铸多物理场建模与超大规模高效高精度仿真计算,本研究基于完全自主研发的自适应结构化网格剖分算法,不可压缩格子玻尔兹曼热流体仿真求解器算法,以及实验测量+一维反算的铸件-铸型界面换热系数模型,研发了高性能云原生超大规模压铸模拟软件。计算案例结果表明:自适应结构化网格在复杂几何建模场景更为优异,对于一体式车身等超大型压铸件,其计算规模和并行效率均突破了传统铸造仿真软件的计算能力瓶颈,总体计算网格规模为1.22亿,计算CPU核心数为96核时,总计算时间仅为13 h 43 min。
