涡轮盘结构热等静压粉末填充振实过程模拟及工艺优化研究

Simulation and Process Optimization of Powder Filling and Vibration Densification in Hot Isostatic Pressing for Turbine Disk Structure

  • 摘要: 热等静压过程中粉末的初始堆积状态直接影响其致密化行为与零件成形精度。本研究基于离散元方法,建立了涡轮盘典型结构的粉末填充与振动模型,并通过实验对其可靠性进行验证。系统分析了粉末粒径比、填粉条件(振动频率、振幅与振动方向)、包套几何参数(涡轮盘的叶片倾角和厚度)对粉末堆积密度及分布特征的影响规律。结果表明,所使用的离散元模型可准确再现粉末填充与振实过程,堆积角误差控制在4°以内,验证了模型的适用性。模拟结果显示,当振动频率为30 Hz、振幅为1.0 mm时,粉末堆积密度和分布均匀性最佳,平均堆积密度可达0.635;垂直振动更有利于整体分布一致性,而水平振动在局部区域具有较高致密度;粒径比的增加提高了平均堆积密度,但加剧了颗粒分离效应;叶片倾角增大会导致堆积不充分,而增加叶片厚度则可缓解壁面效应并提升整体堆积质量。本研究揭示了振动填粉过程中的关键作用机制,从颗粒尺度了解了粉末流程过程与相互作用过程,为粉末热等静压填粉工艺的优化提供了有利支撑。

     

    Abstract: The initial packing state of powders during the hot isostatic pressing directly affects the densification behavior and component forming accuracy. Based on the discrete element method (DEM), a powder filling and vibration model for a typical turbine disk structure is established, and its reliability verified through experiments.The effects of powder particle size, filling conditions (vibration frequency, amplitude, and direction), and capsule geometric parameters (blade angle and thickness of the turbine disc) on the packing density and distribution characteristics of powders are systematically analyzed. The results demonstrate that the discrete element model can accurately reproduce the powder filling and vibration process, with the error of the repose angle controlled within 0°-4°, confirming its applicability. The simulations indicate that the optimal packing density and uniformity are achieved when the vibration frequency is 30 Hz and the amplitude is 1 mm, with an average packing density of 0.635. Vertical vibration is found to promote overall uniform distribution, whereas horizontal vibration results in higher local density. An increased particle size ratio improves the average packing density but intensifies segregation. A larger blade inclination angle leads to insufficient packing, while an increased blade thickness mitigates the wall effect and enhances the overall packing quality. This study reveals the key mechanisms during the vibratory filling process and provides insights into the powder flow and interaction processes at the particle scale, offering valuable support for optimizing the powder HIP filling process.

     

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