Optimization of T5 heat treatment in high pressure die casting of Al–Si–Mg–Mn alloys by using an improved Kampmann-Wagner numerical (KWN) model

压铸 材料科学 模具(集成电路) 冶金 降水 铸造 沉淀硬化 产量(工程) 相(物质) 微观结构 物理 气象学 纳米技术 有机化学 化学
作者
Jianyue Zhang,Emre Cinkilic,Xuejun Huang,Gerry Gang Wang,Yuchao Liu,J.P. Weiler,Alan A. Luo
出处
期刊:Materials Science and Engineering A-structural Materials Properties Microstructure and Processing [Elsevier BV]
卷期号:865: 144604-144604 被引量:11
标识
DOI:10.1016/j.msea.2023.144604
摘要

The increased use of lightweight aluminum die castings in the automotive industry leads to new die casting alloys and their heat treatment processes to meet performance requirements. In this paper, an integrated precipitation and strengthening framework based on an improved Kampmann-Wagner numerical (KWN) model was developed to predict the hardness and yield strength (YS) of high pressure die casting (HPDC) Al–11Si-xMg (x = 0.3 and 0.6) alloys during T5 aging (artificial aging after casting) process. The hardness and YS of the alloys were measured and compared with the predication results, for T5 treatment at 190 °C, 210 °C, 225 °C and 240 °C, respectively. The increased Mg content (from 0.3 to 0.6%) leads to the formation of Mg2Si phase during solidification, which effectively increases the hardness and YS in as-cast conditions. Also, the higher Mg content results in increased peak strengths because of higher precipitate density of needle-like Mg5Si6-β″ phase. This improved KWN model showed a good accuracy with experimental results. Mechanical property maps were generated to guide the design and optimization of T5 process window for these two important die casting aluminum alloys.

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