Towards optimization of the osmotic drying process of alumina-gelatin objects: Regression analysis and verification
Abstract
In this study, further analysis of the osmotic drying process was conducted to identify the optimum combination of parameters for drying rectangular alumina-gelatin beams. This study was designed to determine the effect of three variables related to the osmotic drying process (osmotic pressure, molecular weight, and immersion time) on the interaction between the liquid desiccant and the submerged alumina-gelatin samples. The water loss from the alumina-gelatin samples was positively correlated with the molecular weight, osmotic pressure, and immersion time. Up to 40% by weight of the initial water content was removed during the osmotic drying process. The samples also experienced solids gain due to the counterflow of solute from the liquid desiccant. The least amount of solids gain resulted from drying for the shortest immersion time at low osmotic pressure and high molecular weight. Evidence of possible interactions between variables was noted for the sintered density metric. Statistical methods were used to form regression equations for the measured responses (water loss, solids gain, bulk density). A verification experiment was conducted to compare the experimental outcomes to the predicted outcomes. The responses were simultaneously optimized to identify the combination of variable settings required to meet specified goals. In order to maximize water loss, minimize solids gain, and maximize bulk density, the ceramic-gelatin object should be immersed for approximately 60 min in an aqueous solution of 100,000 g/mol poly(ethylene oxide) at an osmotic pressure of 2.50 MPa. These values are valid for the range of parameter settings tested and the sample fabrication and drying methods used.
Publication Title
Ceramics International
Recommended Citation
Hammel, E., Pettaway, K., Ichite, T., & Okoli, O. (2019). Towards optimization of the osmotic drying process of alumina-gelatin objects: Regression analysis and verification. Ceramics International, 45 (5), 5223-5230. https://doi.org/10.1016/j.ceramint.2018.11.218