研究论文

基于晶体塑性的6XXX铝合金力学性能多尺度计算

  • 郑潇禹 ,
  • 陈辛 ,
  • 何美玲 ,
  • 黄奇 ,
  • 李亚 ,
  • 孔毅 ,
  • 杜勇
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  • 中南大学 粉末冶金国家重点实验室 长沙 410083
郑潇禹,男,1996年生,博士
杜 勇,yong-du@csu.edu.cn,主要从事相图热力学计算与材料多尺度设计研究

收稿日期: 2024-03-14

  修回日期: 2024-04-30

  网络出版日期: 2024-05-14

基金资助

国家自然科学基金项目(52031017);国家自然科学基金项目(52331002)

Multi-Scale Simulation of Mechanical Properties of 6XXX Aluminum Alloy Based on Crystal Plasticity

  • ZHENG Xiaoyu ,
  • CHEN Xin ,
  • HE Meiling ,
  • HUANG Qi ,
  • LI Ya ,
  • KONG Yi ,
  • DU Yong
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  • State Key Laboratory of Powder Metallurgy, Central South University, Changsha 410083, China
DU Yong, professor, Tel: 13974962527, E-mail: yong-du@csu.edu.cn

Received date: 2024-03-14

  Revised date: 2024-04-30

  Online published: 2024-05-14

Supported by

National Natural Science Foundation of China(52031017);National Natural Science Foundation of China(52331002)

摘要

6XXX系时效强化铝合金工程应用价值显著,但尚缺乏系统性的从微结构模拟到性能预测的计算框架。本工作旨在构建完整的多尺度计算流程,根据晶体塑性理论对6XXX铝合金设计了一个基于物理机制从微结构演变到塑性大变形力学响应分析的全序列计算模型。以“结构-性能”关系为切入点,将晶粒尺寸和形貌、析出相和固溶相信息、晶界无析出带特征等对力学性能的主要影响因素考虑在内,通过几何建模、构建本构关系的方式建立模型,对6XXX铝合金的力学行为进行描述。使用Kampmann-Wagner Numerical (KWN)方法模拟析出相的尺寸分布和体积分数演变并追踪固溶相含量;基于位错密度的材料强度学本构理论持续追踪屈服强度和加工硬化等特性随时效时间变化的规律;给出了晶界无析出带的强度贡献计算方法和几何建模策略;基于晶体塑性有限元方法模拟了塑性变形行为并获得应力-应变曲线。本工作分析流程已拓展为了对各类铝合金材料研究具有普遍适用性的晶体性能计算工具包,本文介绍了该工具包的特点与功能。

本文引用格式

郑潇禹 , 陈辛 , 何美玲 , 黄奇 , 李亚 , 孔毅 , 杜勇 . 基于晶体塑性的6XXX铝合金力学性能多尺度计算[J]. 金属学报, 2025 , 61(11) : 1758 -1768 . DOI: 10.11900/0412.1961.2024.00083

Abstract

6XXX age-strengthened aluminum alloys are extensively utilized across various fields, including construction, engineering machinery, and transportation, owing to their low density, good electrical conductivity and heat resistance, and excellent overall mechanical properties. Despite such widespread applications, there are no systematic computational frameworks for these alloys that are applicable across diverse processes, including microstructure simulations and performance predictions. Notably, to facilitate the material design and industrial production of 6XXX aged-strengthened aluminum alloys, the following steps are essential: analyzing the precipitation kinetics governing the mechanical properties of 6XXX aged-strengthened aluminum alloys, developing precipitation kinetics models, establishing corresponding strengthening models correlating microstructural features with key mechanical performance metrics, and performing mechanical simulations under standard service conditions to obtain stress-strain response characteristics. Accordingly, this study introduces a full-sequence computational model for 6XXX age-strengthened alloys based on the crystal plasticity theory. The proposed model is applicable to the investigation of several characteristics, including microstructure evolution, mechanical responses, and plastic deformations. Employing “structure-property” relationships as the entry points, the mechanical behaviors of 6XXX age-strengthened aluminum alloys are described through geometrical modeling and intrinsic relationship derivations. During this process, major factors influencing mechanical properties, including grain size and morphology, precipitation data and solid solution phases, and the characteristics of non-precipitation zones at the grain boundaries, are considered. The primary task involves computationally simulating the evolution of the size distribution and volume fraction of precipitated phases as well as variations in solid solution phase contents by sizing precipitated phases according to the grain size using the Kampmann-Wagner Numerical (KWN) method. According to the dislocation-density-based strengthening of materials, an age-strengthening model and a work-hardening model are established based on the interaction mechanism between precipitated phases and dislocations. The model tracks the evolution of yield strength and work-hardening properties with aging time. A method for computing the strength contribution from the precipitation-free zone at the grain boundary and a geometrical modeling strategy are proposed. The hardening model for 6XXX is selected based on the crystal plasticity finite element method, while uniaxial tensile plastic deformation is simulated to obtain stress-strain curves. The proposed multiscale analysis model of 6XXX age-strengthened aluminum alloys constructed based on the relationships among the alloy composition, aging process, microstructures, and mechanical properties of metallic materials provides a systematic framework for designing high-performance 6XXX age-strengthened alloys. It also highlights the key role played by computational mechanics in the development of new high-strength and high-toughness aluminum alloys, offering valuable insights. Furthermore, the analytical workflow of the study is extended to the crystal properties calculation package, which is universally applicable to studies on diverse age-strengthened materials, introducing its features and functions.

参考文献

[1] Li Y, Zheng X Y, Liu Y L, et al. Design of ultrahigh strength Al-Zn-Mg-Cu alloys through a hybrid approach of high-throughput precipitation simulation and decisive experiment [J]. J. Mater. Sci. Technol., 2024, 195: 234
[2] Du J Q, Li G J, Guo M X, et al. Simultaneously improved bendability and strength of Al-Mg-Si-Cu-Zn alloys by controlling the formation and evolution of primary Fe‐rich phase [J]. Adv. Eng. Mater., 2023, 25: 2300376
[3] Feng X M, Wang Z L, Jiang L, et al. Simultaneous enhancement in mechanical and corrosion properties of Al-Mg-Si alloys using machine learning [J]. J. Mater. Sci. Technol., 2023, 167: 1
[4] Zheng X Y, He M L, Huang Q, et al. Integrated microstructural simulations and mechanical property predictions for age-precipitated Al-Mg-Si alloys [J]. J. Mater. Sci., 2024, 59: 5436
[5] Li Y L, Kohar C P, Muhammad W, et al. Precipitation kinetics and crystal plasticity modeling of artificially aged AA6061 [J]. Int. J. Plast., 2022, 152: 103241
[6] Zheng X Y, Huang Q, Mao H, et al. A yield stress and work hardening model of Al-Mg-Si alloy considering the strengthening effect of β'' and β' precipitates [J]. Materials, 2023, 16: 7183
[7] Yang X K, Xiong B Q, Li X W, et al. Effect of Li content on ageing precipitation behavior of Al-Mg-Si alloy [J]. J. Mater. Eng., 2021, 49(6): 100
  杨晓琨, 熊柏青, 李锡武 等. Li含量对Al-Mg-Si合金时效析出行为的影响 [J]. 材料工程, 2021, 49(6): 100
[8] Chen Z H, Xu J, Liu Q D, et al. Simulation and computation of isothermal precipitation kinetics and precipitation strengthening for AA6061 aluminum alloy [J]. J. Mech. Eng., 2021, 57(20): 126
  陈震昊, 徐 骏, 刘庆冬 等. AA6061铝合金等温时效析出动力学及析出强化模拟计算 [J]. 机械工程学报, 2021, 57(20): 126
[9] Wang X N, Han L Z, Gu J F. Aging precipitation kinetics and strengthening models for aluminum alloys [J]. Chin. J. Nonferrous Met., 2013, 23: 2754
  王小娜, 韩利战, 顾剑锋. 铝合金时效析出动力学及强化模型 [J]. 中国有色金属学报, 2013, 23: 2754
[10] Lei X W, Huang J H, Jin X, et al. Application of Johnson-Mehl-Avrami-Kolmogorov type equation in non-isothermal phase process: Re-discussion [J]. Mater. Lett., 2016, 181: 240
[11] Lifshitz I M, Slyozov V V. The kinetics of precipitation from supersaturated solid solutions [J]. J. Phys. Chem. Solids, 1961, 19: 35
[12] Wagner C. Theorie der alterung von niederschl?gen durch uml?sen (ostwald-reifung) [J]. Z. Elektrochem. Ber. Bunsenges. Phys. Chem., 1961, 65: 581
[13] Kampmann R, Eckerlebe H, Wagner R. Precipitation kinetics in metastable solid solutions-theoretical considerations and application to Cu-Ti alloys [J]. MRS Online Proc. Libr., 1985, 57: 525
[14] Myhr O R, Grong ?. Modelling of non-isothermal transformations in alloys containing a particle distribution [J]. Acta Mater., 2000, 48: 1605
[15] Myhr O R, Grong ?, Andersen S J. Modelling of the age hardening behaviour of Al-Mg-Si alloys [J]. Acta Mater., 2001, 49: 65
[16] Du Q, Poole W J, Wells M A. A mathematical model coupled to CALPHAD to predict precipitation kinetics for multicomponent aluminum alloys [J]. Acta Mater., 2012, 60: 3830
[17] Bahrami A, Miroux A, Sietsma J. An age-hardening model for Al-Mg-Si alloys considering needle-shaped precipitates [J]. Metall. Mater. Trans., 2012, 43A: 4445
[18] Holmedal B, Osmundsen E, Du Q. Precipitation of non-spherical particles in aluminum alloys part I: Generalization of the Kampmann-Wagner Numerical model [J]. Metall. Mater. Trans., 2016, 47A: 581
[19] Khadyko M, Myhr O R, Hopperstad O S. Work hardening and plastic anisotropy of naturally and artificially aged aluminium alloy AA6063 [J]. Mech. Mater., 2019, 136: 103069
[20] Myhr O R, B?rvik T, Marioara C D, et al. Nanoscale modelling of combined isotropic and kinematic hardening of 6000 series aluminium alloys [J]. Mech. Mater., 2020, 151: 103603
[21] Lu R Q, Zheng S W, Teng J, et al. Microstructure, mechanical properties and deformation characteristics of Al-Mg-Si alloys processed by a continuous expansion extrusion approach [J]. J. Mater. Sci. Technol., 2021, 80: 150
[22] Kasemer M, Falkinger G, Roters F. A numerical study of the influence of crystal plasticity modeling parameters on the plastic anisotropy of rolled aluminum sheet [J]. Modell. Simul. Mater. Sci. Eng., 2020, 28: 085005
[23] Bulut O, Acar S S, Yal?inkaya T. The influence of thickness/grain size ratio in microforming through crystal plasticity [J]. Procedia Struct. Integr., 2022, 35: 228
[24] Myhr O R, Marioara C D, Engler O. Modeling the effect of excess vacancies on precipitation and mechanical properties of Al-Mg-Si alloys [J]. Metall. Mater. Trans., 2024, 55A: 291
[25] Myhr O R, Grong ?, Fj?r H G, et al. Modelling of the microstructure and strength evolution in Al-Mg-Si alloys during multistage thermal processing [J]. Acta Mater., 2004, 52: 4997
[26] Chen R, Xu Q Y, Guo H T, et al. Modeling the precipitation kinetics and tensile properties in Al-7Si-Mg cast aluminum alloys [J]. Mater. Sci. Eng., 2017, A685: 403
[27] Esmaeili S, Lloyd D J, Poole W J. A yield strength model for the Al-Mg-Si-Cu alloy AA6111 [J]. Acta Mater., 2003, 51: 2243
[28] Simar A, Bréchet Y, de Meester B, et al. Sequential modeling of local precipitation, strength and strain hardening in friction stir welds of an aluminum alloy 6005A-T6 [J]. Acta Mater., 2007, 55: 6133
[29] Holmedal B. Strength contributions from precipitates [J]. Philos. Mag. Lett., 2015, 95: 594
[30] Liao B, Cao L F, Wu X D. Research progress on precipitation-free zone of aluminum alloy [J]. Heat Treat. Met., 2021, 46(1): 154
  廖 斌, 曹玲飞, 吴晓东. 铝合金无沉淀析出带的研究进展 [J]. 金属热处理, 2021, 46(1): 154
[31] Yang M J, Ruan Z X, Lin H, et al. Quantified effect of quench rate on the microstructures and mechanical properties of an Al-Mg-Si alloy [J]. J. Mater. Res. Technol., 2023, 24: 6753
[32] Myhr O R, Grong ?, Pedersen K O. A combined precipitation, yield strength, and work hardening model for Al-Mg-Si alloys [J]. Metall. Mater. Trans., 2010, 41A: 2276
[33] Hornbogen E, Starke E A. Overview no. 102 Theory assisted design of high strength low alloy aluminum [J]. Acta Metall. Mater., 1993, 41: 1
[34] Myhr O R, Grong ?, Sch?fer C. An extended age-hardening model for Al-Mg-Si alloys incorporating the room-temperature storage and cold deformation process stages [J]. Metall. Mater. Trans., 2015, 46A: 6018
[35] Huang Y G. A user-material subroutine incorporating single crystal plasticity in the ABAQUS finite element program [R]. Cambridge: Harvard University, 1991
[36] Peirce D, Asaro R J, Needleman A. An analysis of nonuniform and localized deformation in ductile single crystals [J]. Acta Metall., 1982, 30: 1087
[37] Asaro R J, Rice J R. Strain localization in ductile single crystals [J]. J. Mech. Phys. Solids, 1977, 25: 309
[38] Peirce D, Asaro R J, Needleman A. Material rate dependence and localized deformation in crystalline solids [J]. Acta Metall., 1983, 31: 1951
[39] Hutchinson J W. Bounds and self-consistent estimates for creep of polycrystalline materials [J]. Proc. R. Soc. London, 1976, 348A: 101
[40] Zheng X Y, Kong Y, Chang T T, et al. High-throughput computing assisted by knowledge graph to study the correlation between microstructure and mechanical properties of 6XXX aluminum alloy [J]. Materials, 2022, 15: 5296
[41] Roters F, Wang Y, Kuo J C, et al. Comparison of single crystal simple shear deformation experiments with crystal plasticity finite element simulations [J]. Adv. Eng. Mater., 2004, 6: 653
[42] Starink M J, Wang S C. A model for the yield strength of overaged Al-Zn-Mg-Cu alloys [J]. Acta Mater., 2003, 51: 5131
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