PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Effect of Anisotropic Yield Functions on Prediction of Critical Process Window and Deformation Behavior for Hydrodynamic Deep Drawing of Aluminum Alloys
Version 1
: Received: 7 March 2020 / Approved: 8 March 2020 / Online: 8 March 2020 (04:03:25 CET)
How to cite:
Wang, C.; Li, D.; Meng, B.; Wan, M. Effect of Anisotropic Yield Functions on Prediction of Critical Process Window and Deformation Behavior for Hydrodynamic Deep Drawing of Aluminum Alloys. Preprints2020, 2020030128. https://doi.org/10.20944/preprints202003.0128.v1
Wang, C.; Li, D.; Meng, B.; Wan, M. Effect of Anisotropic Yield Functions on Prediction of Critical Process Window and Deformation Behavior for Hydrodynamic Deep Drawing of Aluminum Alloys. Preprints 2020, 2020030128. https://doi.org/10.20944/preprints202003.0128.v1
Wang, C.; Li, D.; Meng, B.; Wan, M. Effect of Anisotropic Yield Functions on Prediction of Critical Process Window and Deformation Behavior for Hydrodynamic Deep Drawing of Aluminum Alloys. Preprints2020, 2020030128. https://doi.org/10.20944/preprints202003.0128.v1
APA Style
Wang, C., Li, D., Meng, B., & Wan, M. (2020). Effect of Anisotropic Yield Functions on Prediction of Critical Process Window and Deformation Behavior for Hydrodynamic Deep Drawing of Aluminum Alloys. Preprints. https://doi.org/10.20944/preprints202003.0128.v1
Chicago/Turabian Style
Wang, C., Bao Meng and Min Wan. 2020 "Effect of Anisotropic Yield Functions on Prediction of Critical Process Window and Deformation Behavior for Hydrodynamic Deep Drawing of Aluminum Alloys" Preprints. https://doi.org/10.20944/preprints202003.0128.v1
Abstract
Owing to the reduction of rupture instability and the avoidance of wrinkle defect, hydrodynamic deep drawing (HDD) process is gradually becoming attractive for fabricating lightweight and complicated products. Meanwhile, since metallic material presents anisotropic deformation behavior, it is necessary to select an appropriate constitutive model for the prediction of plastic deformation behavior of applied material with high precision. In the present research, several anisotropic yield criteria namely, Hill’48, Yld2000-2d and BBC2005 are implemented to investigate the effect of yield functions on the prediction accuracy of the critical process window and deformation behavior for HDD process of 2024 and 5754 aluminum alloys. Material constants in the yield criteria are determined by applying uniaxial and equi-biaxial tension tests and optimizing an error-function by using the Levenberg-Marquardt algorithm. Furthermore, the process window diagram is computed utilizing the stress analytical model combined material properties with workpiece geometrical features. Numerical simulation results of predicted material anisotropic parameters, process window and HDD deformation for aluminum alloys are compared with the experimental data. Through the comparison of diverse yield criteria based on materials anisotropic coefficients, critical process window prediction, earing profile, and thickness distribution, it is revealed that the Yld2000-2d and the BBC2005 yield criteria can offer more precise models of material behavior in planar anisotropy properties for HDD process of 2024 and 5754 aluminum alloys.
Keywords
anisotropic yield criterion; hydrodynamic deep drawing; critical process window; aluminum alloy
Subject
Chemistry and Materials Science, Metals, Alloys and Metallurgy
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
