Microstructure-sensitive crystal plasticity and fatigue indicator modeling for LZ50 steel

IF 6.8 2区 材料科学 Q1 ENGINEERING, MECHANICAL
Shuwei Zhou , Mian Huang , Christian Häffner , Sophie Stebner , Min Cai , Zhichao Wei , Bing Yang , Sebastian Münstermann
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Abstract

The fatigue performance of railway axle steel is highly sensitive to microstructural heterogeneities and internal defects, which are inadequately captured by conventional life prediction methods. Motivated by this, a two-stage fatigue life prediction framework for LZ50 steel is employed that integrates the crystal plasticity finite element method with fatigue indicator parameters to account for microstructure-sensitive fatigue processes, including crack initiation and microstructurally short crack growth. To establish a typical experimental foundation, microstructural characterization via electron backscatter diffraction and scanning electron microscopy, displacement-controlled uniaxial tensile tests, and strain-controlled fatigue experiments were conducted. Representative volume elements were constructed based on the characterized microstructures, and crystal plasticity parameters were calibrated against both tensile and fatigue test results obtained at a strain amplitude of 0.9%, and further validated at amplitudes of 0.45%, 0.6%, and 0.75%. Compared to the approaches based on conventional fatigue indicator parameters, the two-stage framework that decouples crack initiation and microstructurally short-crack growth significantly improves prediction accuracy, with all results falling within the ±1.5× scatter band. The microstructurally short crack growth stage is found to contribute more than 50% of the total fatigue life. Furthermore, the effects of inclusions and pores with varying size, shape, and stiffness are systematically investigated. This study provides an effective and physically grounded framework for fatigue life prediction of defect-containing microstructures in structural steels.

Abstract Image

LZ50钢显微组织敏感晶体塑性及疲劳指标建模
铁路轴钢的疲劳性能对微观组织非均质性和内部缺陷非常敏感,而传统的寿命预测方法无法充分捕捉到这些缺陷。基于此,提出了LZ50钢两阶段疲劳寿命预测框架,该框架将晶体塑性有限元法与疲劳指标参数相结合,考虑了裂纹萌生和微结构短裂纹扩展等微结构敏感疲劳过程。为了建立典型的实验基础,通过电子背散射衍射和扫描电镜进行了显微组织表征,进行了位移控制的单轴拉伸试验和应变控制的疲劳试验。基于表征的显微组织构建了具有代表性的体积单元,并根据应变幅值为0.9%时的拉伸和疲劳试验结果校准了晶体塑性参数,并进一步验证了应变幅值为0.45%、0.6%和0.75%时的塑性参数。与基于常规疲劳指标参数的方法相比,分离裂纹萌生和微观短裂纹扩展的两阶段框架显著提高了预测精度,预测结果均落在±1.5×散射范围内。显微组织的短裂纹扩展阶段对总疲劳寿命的贡献大于50%。此外,系统地研究了不同尺寸、形状和刚度的夹杂物和孔隙的影响。本研究为结构钢含缺陷组织的疲劳寿命预测提供了一个有效的物理基础框架。
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来源期刊
International Journal of Fatigue
International Journal of Fatigue 工程技术-材料科学:综合
CiteScore
10.70
自引率
21.70%
发文量
619
审稿时长
58 days
期刊介绍: Typical subjects discussed in International Journal of Fatigue address: Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements) Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions) Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation) Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering Smart materials and structures that can sense and mitigate fatigue degradation Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.
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