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首页> 外文期刊>International Journal for Numerical Methods in Fluids >A vectorial algorithm with finite element method for prediction of powder segregation in metal injection molding
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A vectorial algorithm with finite element method for prediction of powder segregation in metal injection molding

机译:有限元向量矢量算法预测金属注射成型中的粉末偏析

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The design of the mold and the choice of the injection parameters for metal injection molding (MIM) is required to maintain homogeneity of the filled mixture. However, powder segregation is unavoidable in MIM because of the significant difference in densities of the metallic powder and the polymer binder. To achieve an effective prediction of segregation effect, a biphasic model based on mixture theory is employed. The viscous behaviors of each phase and the interaction coefficient between the flows of the two phases should be determined. The solution of two coupled Navier-Stokes equations results in a tremendous computation effort. The previous development of an explicit algorithm makes the biphasic simulation much faster than that of the classic methods. However, it is strongly desired to reduce or even eliminate the numerous global solutions for pressure fields at each time step. Hence, a new vectorial algorithm is proposed and developed to perform the simulation only by vectorial operations. It provides the anticipated efficiency in the simulation of biphasic modeling, and the advantage to use the classic elements of equal-order interpolations. Some results produced by the two algorithms are compared with the experimental values to validate the new vectorial algorithm.
机译:为了保持填充混合物的均质性,需要进行模具设计和金属注射成型(MIM)的注射参数选择。然而,由于金属粉末和聚合物粘合剂的密度的显着差异,在MIM中不可避免的出现粉末偏析。为了有效地预测偏析效果,采用了基于混合理论的双相模型。应该确定每个相的粘性行为和两个相之间的相互作用系数。两个耦合的Navier-Stokes方程的解需要大量的计算工作。显式算法的先前开发使双相仿真比经典方法快得多。但是,强烈希望在每个时间步长减少甚至消除压力场的众多全局解决方案。因此,提出并开发了一种新的矢量算法,以仅通过矢量运算来执行仿真。它提供了双相建模仿真中预期的效率,并提供了使用等阶插值的经典元素的优势。将两种算法产生的一些结果与实验值进行比较,以验证新的矢量算法。

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