Design-Oriented Modelling of Different Quenching Solutions in Induction Plasma Synthesis of Copper Nanoparticles
Design-Oriented Modelling of Different Quenching Solutions in Induction Plasma Synthesis of Copper Nanoparticles
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DOI：
10.1007/s11090-016-9779-1
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发表时间：
2017-05-01
影响因子：
3.6
通讯作者：
Colombo, V.
中科院分区：
文献类型：
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作者：
Bianconi, S.;Boselli, M.;Colombo, V.
本文的目的是比较使用大气压射频感应热等离子体合成铜纳米粒子的不同机制的效果。采用面向设计的建模方法，通过热流体动力学模型与描述等离子体行为的电磁场方程和描述纳米颗粒成核、生长和传输的力矩方法相结合，以参数化方式研究不同参数对合成过程的趋势和影响。铜蒸气的辐射损失对前驱体蒸发效率的影响突出，即使由于等离子体温度降低而导致前驱体进料速率较低，也会出现负载效应。提出了一种模拟纳米颗粒在多孔壁上沉积的方法，其中采用粘附系数来模拟多孔壁上的颗粒粘附，该多孔壁用于将骤冷气流输送到腔室中。两种不同的反应室设计结合不同的淬火气体注入策略（通过多孔壁注入进行“主动”淬火；注入屏蔽气体进行“被动”淬火），从工艺产量和合成纳米颗粒的尺寸分布方面进行了分析。可以根据合成纳米粒子的吞吐量和平均直径得出每种猝灭策略的特征。
The aim of this paper is to compare the effects of different mechanisms underlying the synthesis of copper nanoparticles using an atmospheric pressure radio-frequency induction thermal plasma. A design oriented modelling approach was used to parametrically investigate trends and impact of different parameters on the synthesis process through a thermo-fluid dynamic model coupled with electromagnetic field equations for describing the plasma behaviour and a moment method for describing nanoparticles nucleation, growth and transport. The effect of radiative losses from Cu vapour on the precursor evaporation efficiency is highlighted, with occurrence of loading effect even with low precursor feed rate due to the decrease in plasma temperature. A method to model nanoparticle deposition on a porous wall is proposed, in which a sticking coefficient is employed to model particle sticking on the porous wall used to carry a quench gas flow into the chamber. Two different reaction chamber designs combined with different quench gas injection strategies (injection through a porous wall for "active" quenching; injection of a shroud gas for "passive" quenching) are analysed in terms of process yield and size distribution of the synthetized nanoparticles. Conclusion can be drawn on the characteristics of each quenching strategy in terms of throughput and mean diameter of the synthesized nanoparticles.