1. 沈阳航空航天大学,沈阳,110136
2. 中国航发上海商用航空发动机制造有限责任公司,上海,200241
纸质出版:2021
移动端阅览
蔡晋,谢广安,闫雪,李威. TC4钛合金超声喷丸强化覆盖率试验与数值分析[J]. 航空制造技术, 2021, 64(19): 30-36.
CAI Jin, XIE Guang’an, YAN Xue, LI Wei. Experimental and Numerical Analysis of Coverage of TC4 Titanium Alloy by Ultrasonic Shot Peening. 航空制造技术, 2021, 64(19): 30-36.
蔡晋,谢广安,闫雪,李威. TC4钛合金超声喷丸强化覆盖率试验与数值分析[J]. 航空制造技术, 2021, 64(19): 30-36. DOI: 10.16080/j.issn1671-833x.2021.19.030.
CAI Jin, XIE Guang’an, YAN Xue, LI Wei. Experimental and Numerical Analysis of Coverage of TC4 Titanium Alloy by Ultrasonic Shot Peening. 航空制造技术, 2021, 64(19): 30-36. DOI: 10.16080/j.issn1671-833x.2021.19.030.
为探究超声喷丸工艺参数(弹丸数量、弹丸直径)对构件表面覆盖率的影响规律,基于 ABAQUS/Explicit 建立了超声喷丸三维有限元模型(腔室几何模型、批量弹丸模型、振动系统、Johnson–Cook 材料本构模型),结合超声喷丸试验及仿真研究了工艺参数对 TC4 钛合金表面覆盖率的影响规律,围绕两种工艺参数及超声喷丸时间建立了 6 组模型,对构件表面等效应变场进行了 Image J 覆盖率图像分析。其中 100、150、200 个弹丸模型在 10s 时的表面覆盖率分别为 16.6%、36.2%、48.1% ; 0.5mm、1mm、2.5mm 直径弹丸模型在10s时的表面覆盖率分别为 0、8.1%、16.6%;弹丸数量及弹丸直径变量研究试验值与仿真值的误差分别为 7.5%、9.2%,均<10%。结果表明,弹丸数量与弹丸直径的增加均可提高表面覆盖率,在常用参数范围内,弹丸直径对初始冲击塑性临界值覆盖率状态的影响更显著,在弹丸直径达到冲击塑性临界值后,弹丸数量引起的覆盖率提高更显著。通过工艺仿真的覆盖率数值分析,可以实现超声喷丸表面覆盖率的有效预测。
To explore the influence of ultrasonic shot peening process parameters (spheres number
spheres diameter) on the surface coverage of components
based on ABAQUS/Explicit
combined with ultrasonic shot peening experiment
a three-dimensional finite element model of ultrasonic shot peening (chamber geometry model
batch spheres model
vibration system
Johnson–Cook material constitutive model) is established. Six groups of models are established around two process parameters and ultrasonic shot peening time. The image J coverage image analysis of the equivalent strain field on the surface of component is combined to realize the establishment of the ultrasonic shot peening surface coverage prediction system. The coverage of the 100
150 and 200 spheres models in 10s are 16.6%
36.2% and 48.1% respectively. The coverage of the 0.5mm
1mm and 2.5mm diameter spheres models at 10s are 0
8.1% and 16.6% respectively. The errors between the experimental value and the simulated value of the spheres number and diameter variables are 7.5% and 9.2%
which are both less than 10%. The results show that the increase in the number and diameter of spheres can increase the surface coverage. Within the range of common parameters
the impact of spheres diameter on the coverage of the initial impact plasticity critical value is more significant. After the spheres diameter reaches the impact plasticity critical value
the increase in coverage caused by the number of spheres is more significant. Compared with increasingn the number of spheres
the increase in the diameter of the spheres will increase the coverage more significantly. Through the numerical analysis of the coverage of process simulation
effective prediction of the surface coverage of ultrasonic shot peening can be realized.
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