Technical Report 121, c4e-Preprint Series, Cambridge

A new model for silicon nanoparticle synthesis

ref: Technical Report 121, c4e-Preprint Series, Cambridge

Associated Themes: Nanoparticles and Particle Processes

Abstract

This work presents a novel multivariate particle model to simulate the synthesis of silicon nanoparticles across a wide range of process conditions. The gas-phase mechanism of Ho et al. (1994, J. Phys. Chem. 98, 10138-10147) is simultaneously solved with a stochastic population balance incorporated a detailed multidimensional particle model. A systematic parameter estimation procedure is used to adjust gas-phase and heterogeneous pre-exponential factors to obtain fits with experimental results. The model is tested against a six different experimental configurations, with excellent fit observed for the majority of cases. It was found that primary particles were too large under conditions of finite-rate sintering, leading to the recommendation that the model could be made more robust by development of accurate sintering kinetics for silicon nanoparticles.

Material from this preprint has been published in: Combustion and Flame 160, 947-958, (2013)

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