| 학회 |
한국화학공학회 |
| 학술대회 |
2008년 가을 (10/23 ~ 10/24, 부산 BEXCO) |
| 권호 |
14권 2호, p.2541 |
| 발표분야 |
공정시스템 |
| 제목 |
Optimization of an anti-solvent feeding rate profilein seeded batch drowning-out crystallization process |
| 초록 |
In drowning-out crystallization process, the optimization of operating condition has been traditionally sought with respect to the anti-solvent(or solution) feeding rate and seeding characteristics. To improve crystallization process performance this study conducted to optimize the anti-solvent(acetone) feeding rate for potash alum in water-acetone solution. The model of crystallization process is constructed using population balance and it take account into dynamic meta-stable limit prediction. The growth and nucleation kinetics parameters are estimated by optimization problem based on final time CSD(Crystal Size Distribution) of experiments. Then, the optimal feeding strategy is obtained using the GA(Genetic algorithm) in order to maximize the crystal growth rate while suppressing the nucleation. |
| 저자 |
이수란, 양대륙
|
| 소속 |
고려대 |
| 키워드 |
optimization; anti-solvent; drowning-out crystallization
|
| E-Mail |
|
| 원문파일 |
초록 보기 |
