Kinetic Modeling of Nanoparticle Growth in Low Pressure Dusty Plasmas
ORAL
Abstract
Low pressure ``dusty'' plasmas can be used to synthesize high quality nanoparticles (NPs) from feedstock gases with controllable properties based on operating conditions. Negatively charged NPs can be trapped by the positive plasma potential, enabling growth by collisions with precursors. Understanding the coupled effects between the plasma and particles is fundamental to improving production of nanoparticles. In this paper, we discuss results from a computational investigation of the effects of operating conditions on the growth rate of Si NPs in low pressure plasmas. The Hybrid Plasma Equipment Model (HPEM), a multi-fluid model, was used in the study. Kinetics algorithms which allow for particle growth and subsequent size-dependent forces were incorporated into the Dust Transport Simulator (DTS) to track three-dimensional trajectories and growth of NPs. The demonstration system examines Si NP growth in an argon inductively-coupled-plasma sustained in a flow tube in which SiH$_{\mathrm{4}}$ is injected [1]. Scaling of NP growth rates, agglomeration, particle trapping, and formation of Coulomb solids will be discussed as a function of operating conditions such as pressures, flow rates, and power. [1] U. Kortshagen et al. Chem. Rev. 116, 11061 (2016).
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Authors
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Steven Lanham
U. Michigan, University of Michigan
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Jordyn Polito
U. Michigan, University of Michigan
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Himashi Andaraarachchi
U. Minnesota, University of Minnesota
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Zhaohan Li
U. Minnesota, University of Minnesota
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Zichang Xiong
U. Minnesota, University of Minnesota
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Uwe Kortshagen
U. Minnesota, University of Minnesota
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Mark J. Kushner
U. Michigan, University of Michigan