Chaos And Fractals In Chemical Engineering - Proceedings Of The First National Conference

Inbunden, Engelska, 1995

Av GION GIONA R GIONA GION G BIAVDI, Giuseppe Biardi, M Giona, Alessandro Romano Giona

2 399 kr

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This conference focused on the current research and future perspectives on the application of disordered systems theory, fractals and chaotic dynamical systems to chemical engineering problems. The contributions published here are organised around 4 main themes: Chaos (Analysis and Control) in Reactors and Reacting Systems; Transport in Disordered Media; Time-Series Analysis; and Multiphase Flow Characterization.

Produktinformation

Utgivningsdatum1995-01-01
SpråkEngelska
FörlagWorld Scientific Publishing Co Pte Ltd
EAN9789810219048

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Part 1 Transport phenomena in disordered and fractal media: numerical lattice simulator of transport in disordered systems, M. Giona and A. Drover; inverse free boundary problems in diffusion process with random fractal interfaces, A.P. Reverberi et al; modelling of sulphatation of calcined limestone particles through percolation theory, M. Masi et al; fractal adsorption isotherms - a critical comparison of energetic and geometric description of heterogeneity in adsorption, M. Giustiniani et al; theoretical model for phospholipid aggregation into closed vesicles, M.C. Annesini et al; fractal concepts in modelling of suspension rheology, R. Lapasin et al. Part 2 Fluid dynamic regimes - multiphase and turbulent flow: direct simulation of turbulent transport phenomena, A. Soldati and P. Andreussi; wavelet analysis of the velocity fluctuations in the near-field of a coaxial jet, P. Petagna et al. Part 3 Chaos in chemical process units: deterministic chaos in chemical engineering - state of the art and trends, L. Pellegrini et al; on the numerical simulation of the chaotic behaviour of some distributed-parameter systems, G. Continillo et al; bifurcation analysis of chemical reacting systems, A. Cundari et al. Part 4 Time-series analysis and neural networks: functional reconstruction of chaotic chemical kinetics, L. Colace and A.R. Giona; self-organizing neural networks for process identification, O. Paladino et al. (Part Contents).