The relationship between thermal conductivity and phase formation of cast Al–Cu–Li alloys

IF 3.9 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Yuge Luo, Taili Chen, Zihan Yang, Zhixiang Liu, Jin Zhang, Zhilin Liu
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引用次数: 0

Abstract

Thermal conductivity directly affects the temperature gradient, cooling rate, microstructural evolution, and thermal stress distribution during alloy solidification, particularly for the Al alloys with complex thermal conduction behavior (e.g. AA2195 and AA7085 Al alloys). Accurate modeling of thermal conductivity is therefore crucial for optimizing casting processes and improving ingot quality. This study develops and validates the accurate mathematical models for thermal conductivity of ternary Al–Cu–Li alloy systems across a broad temperature range (25–700 ℃). The Thermo-Calc software was employed to compute phase formation, phase constituents, and solidification paths along with different temperatures. Then, the Scheil–Gulliver model was applied to calculate the dynamic variation of solid/liquid phase fractions during solidification. Then, thermal conductivity as a new model of temperatures, compositions, and secondary phases for different Al–Cu–Li alloys were derived, based on the Kopp’s law and the differential effective medium (DEM) theory. For experimental validation, the materials density, thermal diffusivity, and specific heat capacity of six representative alloys with various chemical compositions were experimentally determined using thermal dilatometer, differential scanning calorimetry, and laser flash analysis. Comparative analysis between theoretical calculation and experimental data indicates a relatively small deviation of only 7%. Meanwhile, the dynamic variation of thermal conductivity were reliably predicted throughout solidification. These models would provide some fundamental insights in casting of high-performance Al alloy components via controlling solidification.

Graphical abstract

铸态Al-Cu-Li合金热导率与相形成的关系
导热系数直接影响合金凝固过程中的温度梯度、冷却速度、显微组织演变和热应力分布,特别是对于热传导行为复杂的铝合金(如AA2195和AA7085铝合金)。因此,准确的热导率建模对于优化铸造工艺和提高铸锭质量至关重要。本研究开发并验证了三元Al-Cu-Li合金体系在宽温度范围(25-700℃)内导热性的精确数学模型。采用hot - calc软件计算了不同温度下的相形成、相组成和凝固路径。然后,应用Scheil-Gulliver模型计算了凝固过程中固/液相分数的动态变化。然后,基于Kopp定律和微分有效介质(DEM)理论,导出了导热系数作为不同Al-Cu-Li合金温度、成分和二次相的新模型。为了验证实验结果,采用热膨胀计、差示扫描量热法和激光闪蒸法测定了6种具有代表性的不同化学成分合金的材料密度、热扩散率和比热容。理论计算与实验数据的对比分析表明,偏差较小,仅为7%。同时,可靠地预测了凝固过程中导热系数的动态变化。这些模型将为通过控制凝固来铸造高性能铝合金部件提供一些基本的见解。图形抽象
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来源期刊
Journal of Materials Science
Journal of Materials Science 工程技术-材料科学:综合
CiteScore
7.90
自引率
4.40%
发文量
1297
审稿时长
2.4 months
期刊介绍: The Journal of Materials Science publishes reviews, full-length papers, and short Communications recording original research results on, or techniques for studying the relationship between structure, properties, and uses of materials. The subjects are seen from international and interdisciplinary perspectives covering areas including metals, ceramics, glasses, polymers, electrical materials, composite materials, fibers, nanostructured materials, nanocomposites, and biological and biomedical materials. The Journal of Materials Science is now firmly established as the leading source of primary communication for scientists investigating the structure and properties of all engineering materials.
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