| MLR |
KG-5 blender |
The model was used to correlate the critical formulation and CPPs with the response variables. A design space for the powder mixing process was built |
42
|
| MLR |
Continuous mixer |
The relationship between residence time and total particle length was explored |
43
|
| Polynomial |
V-blender |
The effects of CPPs on CQAs were quantified to identify their relationship, and the design space was established |
44
|
| Quadratic model |
Cone shape tank |
Based on the regression model, the optimal mixing conditions, including the impeller speed and eccentricity, were found |
45
|
| PLS |
Twin-screw blender |
In twin-screw blend feeding, the relationship between blend material properties and feeding capacity was developed |
46
|
| PLS |
Square cone mixer |
The relationship between raw material variability and mixing time was quantified. The CMAs affecting the mixing process were identified according to VIP |
47
|
| PLS and MLR |
Continuous mixer |
The effect of material properties on the mean residence time was studied. The relationship between bulk density and mean residence time at different flow rates was determined |
48
|
