Multi_R_Designer Tutorial

---

1) Start a new project by selecting Start new query .

2) Apply the following problem specifications, namely the Liquid composition: Water (100%) and Gas composition: Air (100%).

• First, select the Mass transfer tab and check the box related to k_La_LG, then Execute. It will extract 882 data sets containing k_La values.
• In the Fluids tab, press the Add button associated with the Gas phase panel. The following dialog window will appear with the list of all exposed gases in the 882 data sets. Highlight Air, then OK.
• Select (unspecified)  in the Composition field. In the all table, highlight Water (100%) (Liquid phase column) associated with Air (100%) in the Air column. Press OK, then Execute. A total of 147 data sets from Lakota (1991) are extracted.

Comment: Oxygen diffusion in water is known to be a physical absorption process. Therefore, it is not necessary to specify the experimental technique in the Mass transfer tab. Nevertheless, the list is reduced to a single case, which is Physical absorption (With a single choice, the combo box  disappears).
 

3) Select the Plot button , then choose Gas mass flow rate (Operating conditions: Gas mass flow rate) in the Horizontal axis panel and Experimental (Mass transfer: k_La_LG: Experimental) in the Vertical axis panel.

4) In the Advanced tab, select Liquid mass flow rate (Operating conditions: Liquid mass flow rate) as the discriminate value. Press OK.
 
 

5) Select the Discriminate series button  and choose the Value discrimination option. Write 5 in the Number of classes entry to create 5 equally divided series between liquid mass flow rates of 0.718 and 38.3 kg/m²s. Press OK.
 

6) Save to project  as Case problem 4.2.mr in a folder of your choice.

CONCLUSION: From the latter diagram, it can be concluded that higher liquid velocity induces larger k_La especially at greater gas mass flow rate.

Multi_R_Designer Tutorial