气相合成铋纳米颗粒的多维MonteCarlo模拟

Multi-dimensional Monte Carlo Simulation of Bi Nanoparticles in Gas Synthesis

气相合成是纳米颗粒的主要生产途经之一,对其复杂颗粒动力学事件及气固多相流过程的模拟具有重要指导意义。本研究首次提出了群平衡Monte Carlo下的高效颗粒迁移方法,在GPU架构下进行了气相合成铋纳米颗粒的多维CFD-PBMC模拟。作为颗粒合成源头事件,比较了不同成核模型对纳米颗粒的影响,成核速率的差异直接影响了成核区域大小及蒸气浓度分布,使得停留时间较长的边界处颗粒差异显著。与实验测量结果对比,当前模拟颗粒浓度均偏高而体积偏小。

Gas synthesis is one of the main routes for producing nanoparticles,which has important guiding significance for the simulation of complex particle dynamics events and gas-solid multiphase flow processes.In this study,an efficient particle migration method based on population balance-Monte Carlo was proposed for the first time,and multi-dimensional CFD-PBMC simulation of bismuth nanoparticles from gas synthesis was carried out with the GPU.As the source event of particle synthesis,the influences of different nucleation models on nanoparticles were compared.The difference of nucleation rate directly affected the nucleation region size and the distribution of vapor concentration,and the particles at the boundary with longer residence time had noteworthy differences.Compared with the experimental results,the current simulated particle concentration is higher and the volume is smaller.