Ductile fracture prediction of HPDC aluminum alloy based on a shear-modified GTN damage model

材料科学 空隙(复合材料) 体积分数 微观力学 多孔性 剪切(地质) 复合材料 合金 脆性 结构工程 工程类 复合数
作者
Yongfa Zhang,Jiang Zheng,Fuhui Shen,Dongsong Li,Sebastian Münstermann,Weijian Han,Shiyao Huang,Tianjiao Li
出处
期刊:Engineering Fracture Mechanics [Elsevier BV]
卷期号:291: 109541-109541 被引量:11
标识
DOI:10.1016/j.engfracmech.2023.109541
摘要

In this paper, we investigate how the shear-modified Gurson-Tvergaard-Needleman (GTN) model can be used to reveal the effect of manufacturing-process-induced porosity on the scatter of ductile fracture properties of a high-pressure die-casting aluminum alloy. The GTN model exhibits great advantages in predicting the variation of failure strain/displacement by altering the initial void volume fraction (f0), compared with uncoupled ductile damage models. For a specific metallic material, one unique set of model parameters is usually determined from experiments, which leads to the fact that only a deterministic failure strain/displacement can be obtained under a fixed porosity. To overcome this shortcoming of the shear-modified GTN model, a novel parameter calibration scheme is proposed and validated in the present study. Following the physical background of the GTN model, the twelve material parameters of the shear-modified GTN model have been determined based on a combination of macroscopic mechanical tests covering a wide range of stress states and micromechanics-based unit cell simulations. Different from the existing calibration strategies, the simulation results of unit cells embedded with a spherical void have revealed a mutual dependence between the f0 and critical void volume fraction (fc). By conducting interrupted shear tests, the evolution of secondary nucleated void volume fraction was identified according to the statistical results of the fractured brittle silicon particles. The remaining parameters have been further iteratively determined. In the end, the effectiveness of the proposed parameter determination approach is confirmed based on the accurate prediction of stochastic ductile failure properties (both the global failure displacements and the local failure patterns) in different fracture tests. Given the proposed parameters identification strategy, the GTN material models have been enriched to predict the ductile failure behavior of metallic materials, which possess relatively high porosities and more pronounced scattering in failure properties.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
pgmm发布了新的文献求助10
1秒前
1秒前
6秒前
6秒前
妮儿发布了新的文献求助10
6秒前
7秒前
9秒前
刘伟发布了新的文献求助10
11秒前
111发布了新的文献求助10
14秒前
思源应助甜甜圈采纳,获得10
15秒前
17秒前
由雨柏完成签到,获得积分10
17秒前
菟丝子完成签到 ,获得积分10
17秒前
天天快乐应助刘伟采纳,获得10
20秒前
jenningseastera应助Raymond采纳,获得10
21秒前
ss应助虚拟的惜筠采纳,获得10
25秒前
111完成签到,获得积分10
25秒前
沉淀中的黄绿医生完成签到,获得积分10
26秒前
ttt完成签到,获得积分10
28秒前
31秒前
33秒前
无心的可仁完成签到,获得积分10
34秒前
35秒前
无奈天亦发布了新的文献求助10
36秒前
端庄的煎蛋完成签到,获得积分0
37秒前
都是发布了新的文献求助10
38秒前
小宋同学不能怂完成签到 ,获得积分10
40秒前
英姑应助都是采纳,获得10
41秒前
充电宝应助hsh采纳,获得10
44秒前
46秒前
李健应助yi只熊采纳,获得10
47秒前
Steven发布了新的文献求助10
48秒前
加油加油发布了新的文献求助30
52秒前
55秒前
xiaozheng完成签到,获得积分10
55秒前
zhang完成签到 ,获得积分10
57秒前
个性的紫菜应助司徒文青采纳,获得10
58秒前
58秒前
yi只熊发布了新的文献求助10
59秒前
欣喜柚子完成签到 ,获得积分10
1分钟前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Continuum Thermodynamics and Material Modelling 2000
Encyclopedia of Geology (2nd Edition) 2000
105th Edition CRC Handbook of Chemistry and Physics 1600
Maneuvering of a Damaged Navy Combatant 650
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
Mixing the elements of mass customisation 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3778778
求助须知:如何正确求助?哪些是违规求助? 3324341
关于积分的说明 10217992
捐赠科研通 3039436
什么是DOI,文献DOI怎么找? 1668089
邀请新用户注册赠送积分活动 798545
科研通“疑难数据库(出版商)”最低求助积分说明 758415