Fatigue crack growth rate investigation of cold rolled and aged Al-Mg-Zn alloy

IF 5.7 2区 材料科学 Q1 ENGINEERING, MECHANICAL
Nidhi Chaubey, Nikhil Kumar
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Abstract

This research explored the fatigue crack growth rate (FCGR) characteristics correlating with microstructure of Solution heat treated (SHT), SHT + peak aged (PA), SHT + 45 % cold rolled (CR), SHT + 60 % warm rolled (WR) and SHT + PA + 90 % CR Al-Mg-Zn alloy. The findings indicate that artificial aging and cold rolling process decelerate fatigue crack initiation because of precipitation hardening and work hardening as well as grain boundary strengthening, respectively. Utilizing the Paris model, fatigue crack growth rates during the linear extension stage were analyzed. Analysis of crack paths via scanning electron microscope (SEM) techniques revealed ductile fracture(dimples) in case of SHT and SHT + 60 % WR sample, while ductile and brittle mix fracture (dimples and facets) in case of SHT + PA and SHT + 45 % CR sample, whereas brittle fracture (river pattern, facets) in case of SHT + PA + 90 % CR sample were observed. The broadening of precipitate peaks in the X-ray diffraction (XRD) graph of SHT + PA + 90 % CR indicates a rise in dislocation density which is 11.1 ×1014m-2. The microstructural evolution is characterized using optical −microscopy, EBSD and transmission electron microscopy (TEM) techniques. Rod like shape η″ precipitates were observed in TEM images in the case of SHT + PA + 90 % CR sample. Through the partition of IPF image it was observed that higher volume fraction of recrystallized grains was formed in SHT + 60 % WR sample, whereas nano-meter to micrometer size sub grains were formed in the case of SHT + PA + 90 % CR sample. It was observed through orientation distribution function that SHT + 45 % CR is showing strong brass ({110} < 112 > ) texture, whereas SHT + 60 % WR sample is showing strong rotated cube({001} < 110 > ) texture, while 90 % CR sample is showing strong brass({110} < 112 > ), strong Cu({112} < 111 > ) and strong S({123} < 634 > ) texture. Mechanical properties are assessed through tensile, hardness, and fracture tests. The highest values for Vickers hardness (226 HV), tensile strength (526 MPa), and conditional elastic–plastic fracture toughness (JQ) (344.54 kJ/m2) were obtained after SHT (470 °C) for a duration of 8 h), PA (140 °C for a duration of 21 h) and 90 % CR.

Abstract Image

冷轧时效Al-Mg-Zn合金疲劳裂纹扩展速率研究
研究了固溶热处理(SHT)、SHT +峰时效(PA)、SHT + 45%冷轧(CR)、SHT + 60%热轧(WR)和SHT + PA + 90% CR Al-Mg-Zn合金的疲劳裂纹扩展速率(FCGR)与显微组织的关系。结果表明:人工时效和冷轧工艺分别通过析出硬化和加工硬化以及晶界强化来减缓疲劳裂纹的萌生;利用Paris模型,分析了疲劳裂纹在线性扩展阶段的扩展速率。通过扫描电镜(SEM)分析,发现SHT和SHT + 60% WR试样的裂纹路径为韧性断裂(韧窝),SHT + PA和SHT + 45% CR试样的裂纹路径为韧性和脆性混合断裂(韧窝和面),而SHT + PA + 90% CR试样的裂纹路径为脆性断裂(河纹,面)。SHT + PA + 90% CR的x射线衍射(XRD)图中析出相峰的展宽表明位错密度增加了11.1 ×1014m-2。利用光学显微镜、EBSD和透射电子显微镜(TEM)技术对其微观结构演变进行了表征。在SHT + PA + 90% CR试样的TEM图像中观察到棒状η″析出物。通过对IPF图像的分割,发现SHT + 60% WR试样形成了体积分数更高的再结晶晶粒,而SHT + PA + 90% CR试样形成了纳米级到微米级的亚晶粒。通过取向分布函数观察到,SHT + 45% CR表现出强黄铜({110}<;112 >)而SHT + 60% WR样品显示出强烈的旋转立方体({001}<;110 >)90% CR试样呈现出强烈的黄铜({110}<;112 >),强Cu({112} <;111 >)强S({123} <;634 >)纹理。机械性能通过拉伸、硬度和断裂测试来评估。维氏硬度(226 HV)、抗拉强度(526 MPa)和条件弹塑性断裂韧性(JQ) (344.54 kJ/m2)在高温(470°C)保温8 h、PA(140°C保温21 h)和90% CR后达到最大值。
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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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