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.
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.
Experimental and Numerical Analysis of Coverage of TC4 Titanium Alloy by Ultrasonic Shot Peening
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.