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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/23594
Title: Constitutive Behavior and Deep Drawability of Three Aluminum Alloys Under Different Temperatures and Deformation Speeds
Authors: Panicker S.S.
Prasad K.S.
Basak, Shamik
Panda S.K.
Published in: Journal of Materials Engineering and Performance
Abstract: In the present work, uniaxial tensile tests were carried out to evaluate the stress–strain response of AA2014, AA5052 and AA6082 aluminum alloys at four temperatures: 303, 423, 523 and 623 K, and three strain rates: 0.0022, 0.022 and 0.22 s−1. It was found that the Cowper–Symonds model was not a robust constitutive model, and it failed to predict the flow behavior, particularly the thermal softening at higher temperatures. Subsequently, a comparative study was made on the capability of Johnson–Cook (JC), modified Zerilli–Armstrong (m-ZA), modified Arrhenius (m-ARR) and artificial neural network (ANN) for modeling the constitutive behavior of all the three aluminum alloys under the mentioned strain rates and temperatures. Also, the improvement in formability of the materials was evaluated at an elevated temperature of 623 K in terms of cup height and maximum safe strains by conducting cylindrical cup deep drawing experiments under two different punch speeds of 4 and 400 mm/min. The cup heights increased during warm deep drawing due to thermal softening and increase in failure strains. Also, a small reduction in cup height was observed when the punch speed increased from 4 to 400 mm/min at 623 K. Hence, it was suggested to use high-speed deformation at elevated temperature to reduce both punch load and cycle time during the deep drawing process. © 2017, ASM International.
Citation: Journal of Materials Engineering and Performance, 26(8): 3954-3969
URI: https://doi.org/10.1007/s11665-017-2837-x
http://repository.iitr.ac.in/handle/123456789/23594
Issue Date: 2017
Publisher: Springer New York LLC
Keywords: aluminum alloys
ANN
constitutive modeling
deformation speed
flow stress
warm deep drawing
ISSN: 10599495
Author Scopus IDs: 56925016800
54414702700
56489932500
55213614000
Author Affiliations: Panicker, S.S., Department of Mechanical Engineering, Indian Institute of Technology-Kharagpur, Kharagpur, 721302, India
Prasad, K.S., Department of Mechanical Engineering, Indian Institute of Technology-Kharagpur, Kharagpur, 721302, India
Basak, S., Department of Mechanical Engineering, Indian Institute of Technology-Kharagpur, Kharagpur, 721302, India
Panda, S.K., Department of Mechanical Engineering, Indian Institute of Technology-Kharagpur, Kharagpur, 721302, India
Corresponding Author: Panda, S.K.; Department of Mechanical Engineering, India; email: sushanta.panda@mech.iitkgp.ernet.in
Appears in Collections:Journal Publications [ME]

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