Shigeta Masaya, Watanabe Takayuki
Joining and Welding Research Institute, Osaka University, 11-1 Mihogaoka, Ibaraki, Osaka 567-0047, Japan.
Department of Chemical Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan.
Nanomaterials (Basel). 2016 Mar 7;6(3):43. doi: 10.3390/nano6030043.
A computational investigation using a unique model and a solution algorithm was conducted, changing only the saturation pressure of one material artificially during nanopowder formation in thermal plasma fabrication, to highlight the effects of the saturation pressure difference between a metal and silicon. The model can not only express any profile of particle size-composition distribution for a metal-silicide nanopowder even with widely ranging sizes from sub-nanometers to a few hundred nanometers, but it can also simulate the entire growth process involving binary homogeneous nucleation, binary heterogeneous co-condensation, and coagulation among nanoparticles with different compositions. Greater differences in saturation pressures cause a greater time lag for co-condensation of two material vapors during the collective growth of the metal-silicide nanopowder. The greater time lag for co-condensation results in a wider range of composition of the mature nanopowder.
利用一个独特的模型和一种求解算法进行了计算研究,在热等离子体制造纳米粉末的过程中,仅人为改变一种材料的饱和压力,以突出金属与硅之间饱和压力差的影响。该模型不仅能够表达金属硅化物纳米粉末的任何粒度 - 成分分布曲线,即使其尺寸范围从亚纳米到几百纳米跨度很大,而且还能模拟整个生长过程,包括二元均相成核、二元异质共凝聚以及不同成分纳米颗粒之间的凝聚。更大的饱和压力差异会导致金属硅化物纳米粉末集体生长过程中两种材料蒸汽共凝聚的时间滞后更大。共凝聚的时间滞后越大,成熟纳米粉末的成分范围就越宽。