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Optimization of Mold Yield in MultiCavity Sand Castings

机译:多腔砂型铸件结晶器产量的优化

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The productivity of ductile iron foundries engaging in mass production of castings for the automobile and other engineering sectors depends on the number of cavities per mold. A denser packing of cavities, however, results in slower heat transfer from adjacent cavities, leading to delayed solidification, possible shrinkage defects, and lower mechanical properties. In this article, we propose a methodology to optimize mold yield by selecting the correct combination of the mold box size and the number of cavities based on solidification time and mold temperature. Simulation studies were carried out by modeling solid and hollow cube castings with different values of cavity-wall gap and finding the minimum value of the gap beyond which there is no change in casting solidification time. Then double-cavity molds were modeled with different values of cavity-cavity gap, and simulated to find the minimum value of gap. The simulation results were verified by melting and pouring ductile iron in green sand molds instrumented with thermocouples, and recording the temperature in mold at predetermined locations. The proposed approach can be employed to generate a technological database of minimum gaps for various combinations of part geometry, metal and process, which will be very useful to optimize the mold cavity layouts.
机译:从事汽车和其他工程部门铸件批量生产的球墨铸铁厂的生产率取决于每个模具的型腔数量。但是,密集填充的型腔会导致相邻型腔的传热变慢,从而导致固化延迟,可能出现的收缩缺陷和较低的机械性能。在本文中,我们提出了一种方法,该方法可根据固化时间和模具温度,通过选择模具盒尺寸和型腔数量的正确组合来优化模具产量。通过对具有不同型腔壁间隙值的实心和空心立方体铸件进行建模,并找出间隙的最小值(超出该范围,铸件凝固时间没有变化)来进行模拟研究。然后用不同的型腔间隙值对双型腔模具进行建模,并进行仿真以找出最小的间隙值。通过将球墨铸铁熔化并浇注在装有热电偶的生砂模具中,并在预定位置记录模具中的温度,验证了仿真结果。所提出的方法可用于生成零件几何形状,金属和工艺的各种组合的最小间隙的技术数据库,这对于优化模具腔体布局非常有用。

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