Multi_R_Designer Tutorial

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This option allows the user to get an overview on the required variables for the application of the models on a given property integrated in Multi_R_Designer. In this particular example, the property to be simulated is frictional pressure drop.

STEP 1:

• Select Simulation/Summary of model's inputs from the bar menu. In the Summary of model's inputs dialog window, select from the list the property to be simulated (Frictional pressure drop).

STEP 2:

• The user is introduced to a table where the inputs are listed in the first column and the models in the subsequent column headings. For example, the require inputs to estimate frictional pressure drop using the Clements et al. correlation are the bed porosity, effective particle diameter, Ergun constants E1 and E2, gas density, gas mass flow rate, gas viscosity, liquid mass flow rate, liquid viscosity and surface tension.

Note:indicates that the corresponding input must be supplied by the user and indicates that the input can be estimated with a model available in Multi_R_Designer (this procedure is explained in the section: frame for user's file).

• This approach provides an overview of the required variables, and supplies the pertinent information before starting a simulation. It is especially useful when the inputs are coded variables such as foaming property (Midoux et al. model) or specific flow regime (Rao et al. model). Select a variable in the Input / Model field to have its definition.

For example, click on Foaming property in order to understand what it means based on Multi_R_Desinger definition. A window appears with the numerical code and the corresponding definition. If the liquid phase considered for simulations is coalescing, write 1 in the corresponding file column to be used or 2 if it is foaming. For more information, the user can access to Go to Help. The Multi_R_Desinger Help is opened.

Information on a specific model is also provided to the user by selecting the corresponding heading in the Summary of model's inputs table. It may help the user in the selection of pertinent models matching with the studied operating conditions.

For example, the selection of Larachi et al. (1991) model gives the following information:

• In the General panel for Larachi et al. (1991) (figure below), the model Reference, its Type (empirical correlation using dimensionless inputs), the list of the model's Inputs in dimensional form (liquid mass flow rate, gas mass flow rate, etc ...), and the model Output in dimensional form are depicted.
• In an Applicability panel, a domain of validity for each model input is given in the unit of your choice. On graphical representation of simulated variables, the range of validity is denoted by open (hollow) symbols. Some pertinent Comments on the formulation of the model are also presented. These information can be printed or saved as an .html file by pressing Export.

STEP 3:

• Once the variables and models are identified, go to the next step for manual simulation: Frame for user's file.

Multi_R_Designer Tutorial