Kim Soo-Bae, Cho Young-Hee, Jo Min-Su, Jung Jae-Gil, Lee Young-Kook, Lee Jung-Moo
Metallic Materials Department, Korean Institute of Material Science, Changwon, 51508, Republic of Korea.
Department of Materials Science and Engineering, Yonsei University, Seoul, 120-749, Republic of Korea.
Sci Rep. 2019 Nov 28;9(1):17812. doi: 10.1038/s41598-019-54161-7.
Ultrasonic melt treatment (UST) was applied to Al-7Si-2Cu-1Mg melt at various temperatures of 620, 650, 700 and 785 °C. MgAlO particles which were often found to be densely populated along oxide films, became effectively dispersed and well-wetted by UST. Transmission electron microscopy work combined with crystallography analysis clearly indicates that MgAlO particles can act as α-Al nucleation site with the aid of UST. However, with UST, grain refinement occurred only at temperature of 620 °C and the grain size increased from 97 to 351 μm with increase of melt temperature to 785 °C for UST. In quantitative analysis of grain size and MgAlO particle diameter, it was found that ultrasonic de-agglomeration decreased mean particle size of the MgAlO particles, significantly reducing size from 1.2 to 0.4 μm when temperature increased from 620 to 785 °C. Such a size reduction with increased number of MgAlO particles does not always guarantee grain refinement. Thus, in this work, detailed condition for achieving grain refinement by UST is discussed based on quantitative measurement. Furthermore, we tried to suggest the most valid grain refinement mechanism among the known mechanisms by investigation of the relationship between grain size and particle size with variation of melt temperature.
超声熔体处理(UST)应用于温度为620、650、700和785 °C的Al-7Si-2Cu-1Mg熔体。经常发现沿氧化膜密集分布的MgAlO颗粒通过UST有效地分散并良好地润湿。结合晶体学分析的透射电子显微镜研究清楚地表明,在UST的作用下,MgAlO颗粒可以作为α-Al形核位点。然而,对于UST,仅在620 °C的温度下发生晶粒细化,并且随着熔体温度升高至785 °C,UST的晶粒尺寸从97μm增加到351μm。在对晶粒尺寸和MgAlO颗粒直径的定量分析中发现,超声解团聚降低了MgAlO颗粒的平均粒径,当温度从620 °C升高到785 °C时,粒径从1.2μm显著减小到0.4μm。MgAlO颗粒数量增加但粒径减小并不总能保证晶粒细化。因此,在这项工作中,基于定量测量讨论了通过UST实现晶粒细化的详细条件。此外,我们试图通过研究晶粒尺寸和粒径随熔体温度变化的关系,在已知机制中提出最有效的晶粒细化机制。