Jianming Wei

  • Institute for Nanostructures and Technology, Faculty of Engineering Science, and CENIDE (Center for Nanointegration, Duisburg-Essen), University of Duisburg-Essen, 47057 Duisburg, Germany

Received: July 23, 2013
Revised: November 18, 2013
Accepted: November 18, 2013
Download Citation: ||https://doi.org/10.4209/aaqr.2013.07.0254  

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Cite this article:
Wei, J (2014). A Majorant Kernel-Based Monte Carlo Method for Particle Population Balance Modeling. Aerosol Air Qual. Res. 14: 623-631. https://doi.org/10.4209/aaqr.2013.07.0254


 

ABSTRACT


A computationally efficient Monte Carlo method using majorant kernel scheme for particle coagulation is presented in this note. The key is to use majorant kernel in the evaluation of the maximum coagulation rate, which is computationally time consuming, in hope of reducing the computational cost. The proposed scheme is verified by means of a deterministic sectional method for Brownian collision kernel. The computational efficiency of the scheme proposed has also been measured by comparing with sectional method and Monte Carlo methods using other schemes.


Keywords: Monte Carlo; Coagulation; Majorant kernel; Brownian kernel


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