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Evaluation of Controlled Cooling for Seeded Batch Crystallization Incorporating Dissolution

机译:用于溶解的种子批料结晶控制冷却的评价

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Crystallization is an essential solid-liquid separation technique which is widely used in the industry such as in pharmaceuticals, pigments, food, plastics, semi-conductors and others due to its capability to produce high quality of crystals. The final specification of the crystal product usually is given in terms of crystal size distribution (CSD), shape and purity. However achieving the target CSD for the case of batch seeded cooling crystallization is always a challenge due to the limited control on the production of fine crystals. Generally crystallization process is controlled to be operated in the metastable zone where the crystal particles will grow until the end of the operation. If the crystallization process is operated beyond the metastable concentration, excessive nucleation is expected due to the high supersaturation. As a consequence the target crystal product is able to achieve but there is unnecessary amount of fine crystals by the end of the operation. This unnecessary nucleation can be reduced by incorporating the crystallization process with dissolution phenomena where the temperature of the solution is controlled so that the solution is operated in the undersaturated condition. This condition is enabling the grown crystal particles to dissolve back into solution. Thus reducing the amount of fine crystals in the overall CSD. Therefore the objective of this study is to develop and evaluate controlled cooling for batch seeded crystallization of potassium nitrate incorporating dissolution phenomena. The mathematical model for potassium nitrate crystallization is developed and simulated in MATLAB software where it is validated against experimental data. The optimization algorithm is then developed in order to determine the set-point trajectory for closed-loop control. Based on this optimal trajectory a closed-loop control is proposed to maintain the crystallization operation at its set-point using two types of controller which consists of Proportional
机译:结晶是一个重要的固 - 液分离技术,该技术被广泛地用于工业中,例如在医药,颜料,食品,塑料,半导体和其他由于其能力,以产生晶体的质量高。晶体产物的最终规格通常是在晶体尺寸分布(CSD),形状和纯度方面给出。然而实现目标CSD为批料的情况下,去籽冷却结晶始终是一个挑战由于在生产细晶体的有限的控制。通常结晶过程被控制在亚稳区,其中结晶粒子将增长直到操作结束时被操作。如果在结晶过程中超过亚稳态浓度操作,过量的成核是由于高过饱和的预期。作为结果,目标晶体产物能够实现,但存在由操作结束细晶体的不必要量。可以通过将结晶过程与将溶液的温度进行控制,使得将溶液在欠条件下操作溶解现象可以减少这种不必要的成核。这种情况被使生长的晶体颗粒溶解回到溶液中。从而减少了总的CSD细晶体的量。因此,本研究的目的是开发和评估控制冷却硝酸盐掺入溶解现象钾的批次接种结晶。硝酸钾结晶的数学模型的开发和在其被针对实验数据验证MATLAB软件模拟。优化算法,然后才能确定闭环控制的设定点轨迹发展。在此基础上最佳轨迹的闭环控制建议保持在其设定点使用两种类型的控制器,该控制器包括比例的结晶操作

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