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ADAPTED SIP SOLVER TO TWO DIMENSIONAL UNSTRUCTURED GRIDS

机译:适应SIP求解器的二维非结构化网格

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摘要

A better knowledge of solidification time of materials in foundry manufactures will help to reduce the cost production especially for shapes with complex geometries configuration. These shapes affect the solidification conditions and subsequent cooling. Numerical simulation and/or experiments facilitate selection of appropriate materials, reducing cycle times and minimizing production costs. In the present paper, simulations of heat transfer phenomena between metal and mould are rigorously done by solving the heat transfer balance between shape and mould during the phase change. Mathematical model of cooling is investigated, according to material phases change and the interface condition between mould and shape. Due to the complex geometry of the mould, finite volume method using generalized curvilinear formulation is described. A SIP (Strongly Implicit Procedure) solver is adapted in this scenario. The solver performance is compared with solutions of thermal evolution of a slab with infinite length and circular cross-section. Results shown that the iterative method using SIP solver has faster convergence, higher precision and lower cost in term of CPU time (Computing Process Unit) than the other solver available on literature. When the convergence criterion decrease from 10~(-5) to 10~(-3), the corresponding temperature difference is insignificant in this type of physical problem.
机译:更好地了解铸造制造商中材料的凝固时间将有助于降低成本生产,尤其是对于具有复杂几何形状配置的形状。这些形状影响固化条件和随后的冷却。数值模拟和/或实验有助于选择合适的材料,减少周期时间并最大程度地降低生产成本。本文通过解决相变过程中形状与模具之间的传热平衡,对金属与模具之间的传热现象进行了严格的模拟。根据材料的相变以及模具与形状之间的界面条件,研究了冷却的数学模型。由于模具的几何形状复杂,因此描述了使用广义曲线公式的有限体积方法。在这种情况下,将采用SIP(严格隐式过程)求解器。将求解器的性能与无限长和圆形横截面的平板的热演化解决方案进行比较。结果表明,与文献中提供的其他求解器相比,使用SIP求解器的迭代方法具有更快的收敛性,更高的精度和更低的CPU时间(计算处理单元)成本。当收敛准则从10〜(-5)减小到10〜(-3)时,相应的温差在这种物理问题中就无关紧要。

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