添加0.3 wt.% Zr对Al-Cu-Mg合金硬度、腐蚀行为和显微组织的影响

Q3 Engineering Diagnostyka Pub Date : 2022-12-01 DOI:10.29354/diag/156750
K. Saad, J. Al-Murshdy
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引用次数: 0

摘要

研究了在Al-Cu-Mg合金中添加锆(Zr)对合金硬度和腐蚀性能的影响。通过在423.15K下老化3小时处理不同时期的样品的硬度和极化测试结果显示,布氏硬度(HBW)改善率显著提高了115.6%(从45HBW到97HBW),添加Zr后合金的腐蚀速率显著降低,电流密度随老化3小时降低了79.42%(从56.50µa cm-2到11.63µa cm--2)与基础合金相比。这种添加的影响也反映在晶粒微观结构的强化、再结晶和改性上。微观测试清楚地证明了这些变化,并证明Zr的添加具有相当大的协同效应,导致抑制再结晶和细化晶粒尺寸。
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Hardness, corrosion behavior, and microstructure of Al-Cu-Mg alloy as a fuction of 0.3 wt.% Zr addition
The effect of adding zirconium (Zr) as an alloying element to Al-Cu-Mg alloy on the hardness and corrosion of this alloy was investigated. The hardness and polarization test results of samples treated for various periods by aging at 423.15 K for 3hr showed a significant increment in the Brinell hardness (HBW) improvement ratio of 115.6% (from 45HBW to 97HBW) and an extreme reduction the corrosion rate of the alloy after Zr adding decrease in the current density by 79.42% (from 56.50 µA cm-2 to 11.63 µA cm-2) with aging for 3 hr compared to the base alloy. The impact of this addition is also reflected in the strengthening, recrystallization, and modification of the grain microstructure. These changes were clearly demonstrated by microscopic testing and proves that the addition of Zr has a considerable synergistic effect causing inhibition of recrystallization and refinement of grain size.
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来源期刊
Diagnostyka
Diagnostyka Engineering-Mechanical Engineering
CiteScore
2.20
自引率
0.00%
发文量
41
期刊介绍: Diagnostyka – is a quarterly published by the Polish Society of Technical Diagnostics (PSTD). The journal “Diagnostyka” was established by the decision of the Presidium of Main Board of the Polish Society of Technical Diagnostics on August, 21st 2000 and replaced published since 1990 reference book of the PSTD named “Diagnosta”. In the years 2000-2003 there were issued annually two numbers of the journal, since 2004 “Diagnostyka” is issued as a quarterly. Research areas covered include: -theory of the technical diagnostics, -experimental diagnostic research of processes, objects and systems, -analytical, symptom and simulation models of technical objects, -algorithms, methods and devices for diagnosing, prognosis and genesis of condition of technical objects, -methods for detection, localization and identification of damages of technical objects, -artificial intelligence in diagnostics, neural nets, fuzzy systems, genetic algorithms, expert systems, -application of technical diagnostics, -diagnostic issues in mechanical and civil engineering, -medical and biological diagnostics with signal processing application, -structural health monitoring, -machines, -noise and vibration, -analysis of technical and civil systems.
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