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Analytical Model for Springback Prediction of CuZn20 Foil Considering Size Effects: Weakening versus Strengthening
- Source :
- Materials, Vol 13, Iss 4929, p 4929 (2020), Materials, Volume 13, Issue 21
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- The prediction of springback angle for ultra-thin metallic sheets becomes extremely difficult with the existence of size effects. In this study, size effects on the springback behavior of CuZn20 foils are investigated by experiments and analytical methods. The experimental results reveal that the springback angle first decreases gradually and then increases markedly with the decrease of foil thickness, which cannot be analyzed by current theoretical models. Then, an analytical model based on the Taylor-based nonlocal theory of plasticity is developed, in which the drastic increases of both the proportion of surface grains and the strain gradient are taken into account. Moreover, the influence of strain gradient is modified by the grain-boundary blocking factor. The calculation results show that the springback angle of foils is determined by the intrinsic competition between the decrement angle caused by surface grains and the increment angle caused by the strain gradient. Besides, the relative error of predicted springback angle by the model is less than 15%, which means that the developed model is very useful for improving the quality of micro sheet parts with high accuracy of springback prediction.
- Subjects :
- Materials science
Theoretical models
Blocking factor
Plasticity
Strain gradient
lcsh:Technology
Article
Quality (physics)
Approximation error
General Materials Science
Composite material
lcsh:Microscopy
FOIL method
springback prediction
lcsh:QC120-168.85
lcsh:QH201-278.5
lcsh:T
surface grain
analytical model
size effects
lcsh:TA1-2040
strain gradient
lcsh:Descriptive and experimental mechanics
lcsh:Electrical engineering. Electronics. Nuclear engineering
lcsh:Engineering (General). Civil engineering (General)
lcsh:TK1-9971
Subjects
Details
- Language :
- English
- ISSN :
- 19961944
- Volume :
- 13
- Issue :
- 4929
- Database :
- OpenAIRE
- Journal :
- Materials
- Accession number :
- edsair.doi.dedup.....80e5866ab800b7ebfdd81bff2a82b979