卓仕电瓶叉车优点介绍.ppt

* DEVELOPMENT OF QUALITY BY DESIGN (QBD) GUIDANCE ELEMENTS ON DESIGN SPACE SPECIFICATIONS ACROSS SCALES WITH STABILITY CONSIDERATIONS  Scale-up Experimentation – Fluid Bed Drying Benoit Igne, Sameer Talwar, Brian Zacour, Carl Anderson, James Drennen Duquesne University Center for Pharmaceutical Technology 东莞电工培训 /training-215.html Fluid Bed Drying Scale-up The thermodynamic environment (EEF) that is ideal for drying for a given product is constant regardless of scale/equipment. The group at IIT is performing computational fluid dynamic (CFD) simulations to maximize process understanding. The simulations define all relevant properties at specific locations in the dryer and allow these properties to be defined for a different dryer. A limited space is defined, drastically reducing the necessary number of experiments for successful scale-up. Dr. Linas Mockus has also used traditional bubbling bed models to predict experimental results at small scale to inform scale up decisions. Intermediate Scale DOE (10 L Gral) Exp Water Content Spray Rate Spray Time Imp. Speed (RPMS) Wet Massing Time (sec.) EEF End Moisture Target End Product Temperature Target Airflow Velocity 1 5% 28.5 g/min 105 sec 420 30 0.45 0.5% 30oC 15 m3/hr 2 3% 28.5 g/min 63 sec 420 30 0.45 0.5% 30oC 15 m3/hr 3 4% 28.5 g/min 84 sec 420 30 0.45 0.5% 30oC 15 m3/hr 4 4% 28.5 g/min 84 sec 345 30 0.45 0.5% 30oC 15 m3/hr 5 4% 250 g/min 10 sec 420 30 0.45 0.5% 30oC 15 m3/hr 6 4% 250 g/min 10 sec 345 30 0.45 0.5% 30oC 15 m3/hr 7 5% 28.5 g/min 105 sec 420 60 0.45 0.5% 30oC 15 m3/hr 8 5% 28.5 g/min 105 sec 420 0 0.45 0.5% 30oC 15 m3/hr 9 5% 28.5 g/min 105 sec 420 30 0.175 0.5% 30oC 15 m3/hr 10 5% 28.5 g/min 105 sec 420 30 0.175 1.0% 30oC 15 m3/hr 11 5% 28.5 g/min 105 sec 420 30 0.45 0.5% 30oC 15 m3/hr 12 5% 28.5 g/min 105 sec 420 30 0.45 1.0% 30oC 15 m3/hr 13 5% 28.5 g/min 105 sec 420 30 0.45 0.5% 30oC 15 m3/hr 14 5% 28.5 g/min 105 sec 420 30 0.45 0.5% 30oC 15 m3/hr Intermediate Scale Process