Control of Nanoparticle Growth in High Temperature Reactor: Application of Reduced Population Balance Model II
Aerosol processes are often model using the population balance equation (PBE). This article presents a study on the simulation of particle size distribution during nanoparticle growth with simultaneous chemical reaction, nucleation, condensation and coagulation. The method used to reduce the population balance model is the method of moments. Under the assumption of lognormal aerosol size distribution, the method of moments was employed to reduce the original model into a set of first-order ODE's (ordinary differential equations) that accurately reproduce important dynamics of aerosol process. The objective of this study is to investigate if we can use the reduced population balance model for the control of nanoparticle size distribution and to investigate the process model sensitivity to the influence of disturbance. And subsequently use the model to control particle size distribution. The numerical result shows there is a dependence of the average particle diameter on the wall temperatures and disturbance has great influence on process model. The process model was used as a basis to synthesize a feedback controller where manipulated variable is the wall temperature of the reactor and the control variable the aerosol size distribution at the outlet of the reactor.
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Document Type: Research Article
Publication date: 2011-01-01
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- Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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