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Multi_R_Designer Documentation |
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Multi_R_Designer Documentation |
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The Multi_R_Designer tutorial is divided in two distinct categories, dealing first with the procedures relevant to the interrogation of the integrated databank, of any of the three reactors : trickle beds (two-phase cocurrent downward flow), packed beds (two-phase counter-current flow), and flooded beds (two-phase concurrent upward flow). This is useful to retrieve important non-proprietary information from the literature (Query section). The integrated databanks contain to this date, 35600 data sets extracted from 179 literature publications concerning any types of experiments in trickle-bed reactors, 20139 data sets extracted from 108 publications concerning experiments in packed-bed reactors, and 10600 data sets extracted from 55 publications concerning experiments in flooded-bed reactors, and this involving hydrodynamics, mass transfer and heat transfer classifications. Various simple case problems, for trickle bed reactors, are included in the tutorial for the user to get acquainted and understand all the functionalities relevant to the integrated databank interrogation. After getting through the tutorial, the user should be able to use the query index efficiently. As a matter of fact, the procedures described for the integrated databank interrogation could be easily applied for the user's proprietary data, which will be referred in this document as the user database.
Several correlations and models predicting hydrodynamics, mass transfer and heat transfer parameters have been implemented in Multi_R_Designer. When possible, predictions from these correlations/models have already been calculated and included in the integrated databank. Based on these calculations, the correlations/models effectiveness can be scrutinized (i.e. parity plots, statistics) in a way to understand which correlation or model would predict accurately studied parameters. Again, simple case problems are presented in this document analyzing in consequence the effectiveness of the correlations and models.
The second part of the tutorial (Simulation section)
deals with the procedures relevant to parameter predictions. Simulations
can be performed to predict hydrodynamics, mass and heat transfer properties
using 114 models . From that list, 16 Artificial Neural Network correlations
(MR_ANNs) were developed at Laval University by the Multi_R_Designer team
based on the integrated databank. An example, for the trickle bed
reactor, is presented to show how the user can carry out simulations from
a proprietary database and get an overview on the performance of the
appropriate models and correlations available in the open literature for
its own purpose. Two options are offered in this section: manual or automatic
simulation. In one example, the advantages relative to the two options are
underlined. The user is then introduced to the model expert advisor (MEXA).
This tool, available in the simulator, should help the user to choose the
best model or correlation predicting a given parameter, providing a range
of operating conditions and this without any experimental data. Finally,
a procedure is presented to explain how the user can add his model in Multi_R_Designer
software and to test its performance using the integrated databanks.
The quick guide manual is presented as a summary of all functionalities
implemented in Multi_R_Designer. It contains basic definitions and information
relative to any subject associated with one of the 5 sections (File, Reactor,
Database, Simulation, Tools, Graphical representation). Most of the definitions
are used at least once in the Multi_R_Designer tutorial.
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Multi_R_Designer Documentation |
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