Modeling of Process Intensification by Frerich J. Keil

By Frerich J. Keil

Combining the information thinking about approach engineering and strategy modeling, this is often the 1st booklet to hide all modeling equipment acceptable to approach intensification. either the editors and authors are popular specialists from and academia within the numerous fields of strategy modeling and built-in chemical processes.Following an creation to the subject, the ebook is going directly to examine gear and operational equipment, monolithic catalysis, HEX, micro- and opposite stream reactors, catalytic and reactive distillation, the simulated-moving mattress and vibration bubble column in addition to ultrasound and ultrasonic reactors. a last bankruptcy is dedicated to techniques lower than supercritical conditions.In its therapy of sizzling subject matters of multidisciplinary curiosity, this booklet is of significant price to researchers and engineers alike.

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An increase of conversion to 250% is realized if the same level of heat release ∆H is reached in the subsequent multitubular reactor by only adding 20% nominal capacity enhancement due to a microstructured wall reactor. 1 Introduction Since process intensification represents a genuinely holistic approach, simulation is an integral part during the course of a project. The anticipation of phenomena by virtual means is one of the fundamental sources for intensifying strategies. , do the bulk of the work.

Stat. , 44, (1949), 335 D. L. 1 Introduction In the field of conventional, macroscopic process technology, modeling and simulation approaches are by now used on a routine basis to design and optimize processes and equipment. Many of the models employed have been developed for and carefully adjusted to specific processes and reactors and allow to predict flow as well as heat and mass transfer, often with a high degree of accuracy. Compared to that, modeling and simulation approaches for microreactors are more immature, but bear a great potential for even more reliable computer-based process engineering, as will be discussed below.

2. The phenomenology of flow distributions in such channel domains was found to be quite diverse. At low Reynolds numbers the flow is stationary, but at a Reynolds number of 150 oscillations begin to develop, with the vortices still being confined in the recesses. At Re = 400 the viscous forces are no longer strong enough to confine the vortices in the recesses and vortex ejection is observed. At even higher Reynolds numbers the flow becomes aperiodic and chaotic. In some cases, for example when large residence times are desired, comparatively long microchannels have to be integrated into a compact microreaction device, a task that can only be achieved with curved channels.

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