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DEM-FEM coupling simulation of residual stresses and surface roughness induced by shot peening of TC4 titanium alloy
- Source :
- The International Journal of Advanced Manufacturing Technology. 118:1469-1483
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- An integrated DEM-FEM coupling simulation approach is developed to simulate the real process of shot peening, and is validated by comparing the predicted in-depth residual stresses with the experimentally measured results. Two kinds of three-dimensional finite element models associated with the original surface roughness of Rα0 = 26.7μm and 50.1μm are respectively established by using Gaussian distribution in conjunction with the exponential autocorrelation function, and another target model without the original surface roughness is utilized for reference purposes. Taking advantage of the integrated DEM-FEM coupling simulations of shot peening processes based on the three kinds of target models, the effects of the original surface roughness, shot impact angle, and shot peening coverage on the shot-peened residual stresses and surface roughness are investigated in detail. The obtained results show that the larger original surface roughness of TC4 titanium alloy could be reduced by shot peening, and the reduction increases with the increasing shot peening coverage from 100 to 200%. In the target models associated with the original surface roughness, the distributions of shot-peened surface residual stresses tend to be more uniform than that in the target model without the original surface roughness, whereas both the in-depth residual stresses and surface roughness are not very sensitive to the changes of shot impact angle in the range from 60° to 90°.
- Subjects :
- Materials science
Mechanical Engineering
Titanium alloy
Shot peening
Industrial and Manufacturing Engineering
Finite element method
Computer Science Applications
Control and Systems Engineering
Shot (pellet)
Residual stress
Surface roughness
Coupling (piping)
Composite material
Reduction (mathematics)
Software
Subjects
Details
- ISSN :
- 14333015 and 02683768
- Volume :
- 118
- Database :
- OpenAIRE
- Journal :
- The International Journal of Advanced Manufacturing Technology
- Accession number :
- edsair.doi...........1747cf2c78b7a218b3a4ea1f1863207b