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Applicability analysis of cyclic plasticity constitutive model for superalloy foils

Authors :
WANG Yan-ju
LI Shen-long
HE Wei-lin
SHA Ai-xue
JIA Chong-lin
MENG Bao
WAN Min
Source :
Cailiao gongcheng, Vol 49, Iss 11, Pp 147-155 (2021)
Publication Year :
2021
Publisher :
Journal of Materials Engineering, 2021.

Abstract

Superalloy has excellent comprehensive properties and is the preferred material for high performance components of aeroengine. Due to its high yield strength and obvious springback, it is difficult to control the forming precision of superalloy component. Therefore, it is crucial to study the applicability of cyclic constitutive models in the deformation simulation of superalloy foils. Based on the cyclic shearing test, the characterization effects of different cyclic plastic constitutive models on the cyclic plastic deformation response of superalloy were studied. By comparing the results of U-bending test with the simulation results of finite element software, the accuracy of springback prediction of different yield criteria combined with different cyclic plastic constitutive models was analyzed. The results show that Y-U (Yoshida-Uemori) model has the best characterizing effect on the response of cyclic plastic deformation, while A-F (Armstrong-Frederick) model and ANK (the anisotropic nonlinear kinematic) model have close characterizing effect. For the prediction accuracy of springback, the fitting accuracy of Y-U model is higher than that of isotropic model and A-F model. However, the yield criterion has little influence on the prediction accuracy of springback. The prediction deviation of Y-U model based on Hill48 yield criterion and YLD-2000 yield criterion can be controlled within 5%.

Details

Language :
Chinese
ISSN :
10014381
Volume :
49
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Cailiao gongcheng
Publication Type :
Academic Journal
Accession number :
edsdoj.0c5d142e7acd4d4ab6718bb96ff72b79
Document Type :
article
Full Text :
https://doi.org/10.11868/j.issn.1001-4381.2021.000372