Pregled bibliografske jedinice broj: 1083403
Development of Calibration Model for Real-Time Measurement of Particle Size Distribution in Crystallization Process
Development of Calibration Model for Real-Time Measurement of Particle Size Distribution in Crystallization Process // Environmental resources, sustainable developmentand food production –OPORPH 2019: Book of Abstracts
Tuzla, Bosna i Hercegovina, 2019. str. 29-29 (poster, recenziran, sažetak, znanstveni)
CROSBI ID: 1083403 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Development of Calibration Model for Real-Time Measurement of Particle Size Distribution in Crystallization Process
Autori
Dorić, Hrvoje ; Vrban, Ivan ; Bolf, Nenad
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Environmental resources, sustainable developmentand food production –OPORPH 2019: Book of Abstracts
/ - , 2019, 29-29
Skup
VI međunarodni naučno-stručni simpozij „Održivi razvoj, okolišni potenicijali i proizvodnja hrane- OPORPH 2019”
Mjesto i datum
Tuzla, Bosna i Hercegovina, 14.11.2019. - 15.11.2019
Vrsta sudjelovanja
Poster
Vrsta recenzije
Recenziran
Ključne riječi
crystallization, calibration model, neural networks, FBRM, CLD to CSD
Sažetak
The subject of the research is development of a calibration model for a real-time measurement of the crystal size distribution (CSD) in laboratory crystallizer. CSD is crucial for product quality, i.e. process efficiency, as well as energy and utility consumption in subsequent batch production processes. In addition, the continuous measurement of CSD would have an important application in the transition from batch to continuous production which is trend in pharmaceutical industry. Focused Beam Reflectance Measurement (FBRM) is a precise and sensitive technology for measuring particle size, number and shape changes. The measured data can be used for optimization and understanding of the process, and potentially for the crystallization process control. Output data of the FBRM instrument is Chord Length Distribution (CLD), which is dependent of the actual CSD, but the two are not identical. Calibration model for the conversion of CLD to CSD was developed using experimental data. The developed model is based on multilayer perceptron neural network. Neural network model is trained on the FBRM data collected experimentally in the laboratory crystallizer and analytically determined CSD by the laser diffraction. Validation of the model was performed on an independent data set not used for the neural network training. The real-time application of developed model would allow monitoring of the CSD during the course of process. The main advantage of developed method is in the fact it does not require theoretical knowledge of the FBRM operation, and allows monitoring of CSD for irregularly shaped particles. Real-time CSD information is prerequisite for the development of real-time CSD control methods, which would consequently ensure production of the crystalline product with consistent quality.
Izvorni jezik
Engleski
Znanstvena područja
Kemijsko inženjerstvo
POVEZANOST RADA
Ustanove:
Fakultet kemijskog inženjerstva i tehnologije, Zagreb