预测航空发动机涡轮盘枞树形凹槽超声波喷丸强化的 DEM-FEM 序列耦合方法

IF 6.1 1区 工程技术 Q1 ENGINEERING, MANUFACTURING
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引用次数: 0

摘要

超声波喷丸(USP)是一种随机、均匀的强化工艺,具有强化杉树形凹槽复杂表面的优势。然而,由于沟槽几何形状的复杂性,很难准确预测 USP 处理过程中的喷丸动态和表面完整性。本文建立了离散元素法(DEM)和有限元法(FEM)耦合方法,用于预测杉树形凹槽的超声波喷丸强化过程。利用真实凹槽建立了 DEM 仿真模型,以获得喷丸的速度场。喷丸动态场作为输入耦合到有限元模型,以获得表面完整性。USP 实验验证了所提出的耦合方法可以预测凹槽的表面完整性。在 DEM-DEM 模型中获得的每个区域的压缩残余应力 (CRS)、最大 CRS 和粗糙度相对均匀(波动范围在 ±60 兆帕内)。此外,凹槽各区域的粗糙度均低于 Ra0.6 μm,其值与钢丸冲击的速度场密切相关。这项研究为复杂部件的均匀表面强化提供了一种有效方法和潜在应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A sequential DEM-FEM coupling method to predict the ultrasonic shot peening of fir-tree shaped grooves in aero-engine turbine disk

Ultrasonic shot peeing (USP) is a random and uniform peening process that has advantage to strengthen the complex surface of fir-tree shaped groove. However, due to the complexity of the groove geometry, it is difficult to accurately predict the shot dynamics and surface integrity along the profile during USP treatment. In this paper, a coupled discrete element method (DEM) and finite element method (FEM) has been established to predict the ultrasonic shot peening process of the fir tree shaped groove. DEM simulation model is established with a real groove to obtain the velocity field of the shots. The shot dynamic field is coupled as an input to the FEM model to obtain the surface integrity. The USP experiment verifies that the proposed coupled method can predict the surface integrity of grooves. The compressive residual stress (CRS), maximum CRS, and roughness of each region obtained in the DEM-DEM model are relatively uniform (fluctuating within ±60 MPa). Further, the roughness of each area of the groove is below Ra0.6 μm, and the values is closely corresponded to the velocity field of the shot impact. This study provides an effective method and potential application in uniform surface strengthening of complex components.

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来源期刊
Journal of Manufacturing Processes
Journal of Manufacturing Processes ENGINEERING, MANUFACTURING-
CiteScore
10.20
自引率
11.30%
发文量
833
审稿时长
50 days
期刊介绍: The aim of the Journal of Manufacturing Processes (JMP) is to exchange current and future directions of manufacturing processes research, development and implementation, and to publish archival scholarly literature with a view to advancing state-of-the-art manufacturing processes and encouraging innovation for developing new and efficient processes. The journal will also publish from other research communities for rapid communication of innovative new concepts. Special-topic issues on emerging technologies and invited papers will also be published.
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