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contributor authorGhavam, Kamyar
contributor authorBagheriasl, Reza
contributor authorWorswick, Michael J.
date accessioned2017-05-09T01:09:52Z
date available2017-05-09T01:09:52Z
date issued2014
identifier issn1087-1357
identifier othermanu_136_01_011006.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/155432
description abstractIn this paper, a finite element model is developed for 3000 series clad aluminum alloy brazing sheet to account for temperature and strain rate dependency, as well as plastic anisotropy. The current work considers a novel implementation of the Barlat YLD2000 yield surface in conjunction with the Bergstrom hardening model to accurately model aluminum alloy sheet during warm forming. The Barlat YLD2000 yield criterion is used to capture the anisotropy while the Bergstrom hardening rule predicts the temperature and strain rate dependency. The results are compared with those obtained from experiments. The measured stress–strain curves of the AA3003 aluminum alloy sheet at elevated temperatures and different strain rates are used to fit the Bergstrom parameters and measured Rvalues and directional yield stresses are used to fit the yield function parameters. Isothermal uniaxial tensile tests and nonisothermal deep drawing experiments are performed and the predicted response using the new constitutive model is compared with measured data. In simulations of tensile tests, the material behavior is predicted accurately by the numerical models. Also, the nonisothermal deep drawing simulations are able to predict the load–displacement response and strain distributions accurately.
publisherThe American Society of Mechanical Engineers (ASME)
titleAnalysis of Nonisothermal Deep Drawing of Aluminum Alloy Sheet With Induced Anisotropy and Rate Sensitivity at Elevated Temperatures
typeJournal Paper
journal volume136
journal issue1
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4025407
journal fristpage11006
journal lastpage11006
identifier eissn1528-8935
treeJournal of Manufacturing Science and Engineering:;2014:;volume( 136 ):;issue: 001
contenttypeFulltext


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