4.6 Article

Tailoring of Processing Parameters, Dendritic Microstructure, Si/Intermetallic Particles and Microhardness in As-cast and Heat-Treated Samples of Al7Si0.3Mg Alloy

期刊

METALS AND MATERIALS INTERNATIONAL
卷 26, 期 3, 页码 370-383

出版社

KOREAN INST METALS MATERIALS
DOI: 10.1007/s12540-019-00334-y

关键词

Solidification; Heat treatment; Microstructure; Microhardness; AlSiMg alloys

向作者/读者索取更多资源

In this work, solidification and T6-heat treatment experiments were performed with the Al7Si0.3Mg alloy in order to investigate the effect of processes parameters on the microstructure and microhardness (HV). A directional solidification device was used, and the solidification thermal parameters investigated were the growth and cooling rates (V-L and T-R). The heat treatment applied was the T6 (T6-HT), under the following conditions: solution treatment for 3 h at 5202 degrees C, followed by quenching in warm water (70 +/- 20 degrees C), aging for 1, 2, 3 and 4 h at 155 +/- 2 degrees C and air-cooling. The microstructure observed in both as-cast and T6-heat treated samples is composed of a primary phase consisting of an Al-rich dendritic network and secondary eutectic phases, located within the interdendritic regions, formed by Si and Mg2Si particles and Fe-intermetallic phases. The dendritic microstructure was characterized by secondary dendritic spacing (lambda (2)) and, for both investigated samples, a single mathematical expression was proposed on the lambda (2) dependence with the position in the ingot. Spheroidized-like eutectic Si particles have been found in both analyzed samples for finer microstructures. Elements quantitative and qualitative microanalysis by SEM/EDS as well as HV measurement at the dendritic and interdendritic regions attest to the effectiveness of the T6-heat treatment. It is highlighted in this work that mathematical expressions have been proposed to characterize the HV dependence on aging time.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据