Indexed by:Journal Papers
Date of Publication:2019-09-25
Journal:JOURNAL OF ALLOYS AND COMPOUNDS
Included Journals:SCIE、EI
Volume:802
Page Number:675-693
ISSN No.:0925-8388
Key Words:AA7075; Hot forming; Mesoscopic damage; GTN; TFLD; Formability prediction
Abstract:The formability of high strength AA7075 aluminum alloy under elevated temperatures is vital in guiding the fabrication of automobile structural parts. The ductile fracture forming limit of AA7075 at elevated temperatures is essentially governed by thermal damage evolution. In this paper, the hot tensile test (300 degrees C-450 degrees C, strain rate 0.1s(-1)-0.001s(-1)) for AA7075 was conducted and the corresponding flow behavior was fitted by Hensiel-Spittel (HS) constitutive equation. The GTN mesoscopic damage model was implemented to take account of the damage evolution phenomenon of AA7075 at elevated temperatures. The temperature-dependent damage void volume fractions (VVF) were identified accurately based on a novel inverse identification procedure, named the CCD parameters design-FEM inverse simulation-genetic algorithm (CCD-FEIS-GA) optimization method. Subsequently, the thermal forming limit diagram (TFLD) was calculated based on the GTN damage parameters and further validated by hot Nakajima-type bulging experiment. The corresponding damage evolution behaviors and effects of critical forming parameters were discussed in detail. The comparison of experimental and numerical results showed that the formability of AA7075 firstly increases and then decreases with the increasing forming temperature, the TFLD0 reaches its maximum value when the temperature is 400 degrees C, and the formability also increases with the increasing strain rate and the decreasing surface coefficient of friction. The proposed simulated strategy coupled with mesoscopic GTN approach conduces to the accurate prediction of TFLD and damage fracture behavior of AA7075 in the hot forming process. (C) 2019 Elsevier B.V. All rights reserved.
Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Gender:Male
Alma Mater:Dalian University of Technology
Degree:Doctoral Degree
School/Department:School of Automotive Engineering
Discipline:Vehicle Engineering
Business Address:Room,A305,The Vehicle Experiment Center of SAE, DUT.
Contact Information:yingliang@dlut.edu.cn
办公邮箱 : yingliang@dlut.edu.cn
办公地点 : 汽车基础实验教学中心A305
Open time:..
The Last Update Time:..