William J. Menz

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This work presents a sequential modular approach to solve a generic network of reactors with a population balance model using a stochastic numerical method. Full-coupling to the gas-phase is achieved through operator-splitting. The convergence of the stochastic particle algorithm in test networks is evaluated as a function of network size, recycle fraction(More)
The aim of this work is to present the mathematical description of a detailed multivariate population balance model to describe the structure and composition of silica nanoparticles. Silica nanoparticles are formed by the interaction of silicic acid monomers (Si(OH) 4)in the gas-phase. A detailed numerical study of a stochastic particle algorithm for the(More)
The purpose of reflecting teams is to instigate change in systems that have become bogged down, including helper systems. The modifications that have been made in the Andersen reflecting team since it was first described (1987) are summarized. The reflecting team technique derives from family therapy and is epistemologically based on the radical(More)
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