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Pregled bibliografske jedinice broj: 877242

Modelling, monitoring and control of batch crystallization processes


Lukić, Marija; Bolf, Nenad
Modelling, monitoring and control of batch crystallization processes // Knjiga sažetaka/Book of Abstracts XXV. hrvatski skup kemičara i kemijskih inženjera
Poreč, Hrvatska, 2017. (poster, nije recenziran, sažetak, znanstveni)


CROSBI ID: 877242 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Modelling, monitoring and control of batch crystallization processes

Autori
Lukić, Marija ; Bolf, Nenad

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Knjiga sažetaka/Book of Abstracts XXV. hrvatski skup kemičara i kemijskih inženjera / - , 2017

Skup
25. hrvatski skup kemičara i kemijskih inženjera

Mjesto i datum
Poreč, Hrvatska, 19.04.2017. - 22.04.2017

Vrsta sudjelovanja
Poster

Vrsta recenzije
Nije recenziran

Ključne riječi
Batch crystallization ; Process Analytical Technology (PAT) ; Model Predictive Controllers (MPC) ,
(Batch crystallization ; Process Analytical Technology (PAT) ; Model Predictive Controllers (MPC))

Sažetak
Crystallization is an important technique for separation and purification of substances as well as for product design in chemical, pharmaceutical and biotechnological process industries. A common control strategies used in batch crystallization are often operated by tracking predetermined recipes, e.g. temperature, feed flow, and/or heat input profiles, which are largely based on operators’ experience [1]. The FDA's initiative to encourage the use of Process Analytical Technology (PAT) and the availability of various robust in situ sensors like ATR-UV/vis spectroscopy and FBRM (Focused Beam Reflectance Measurement) has greatly improved the monitoring and control of pharmaceutical crystallization processes [2]. Crystallisation is a multi-variable system with multi-input and multi-output (MIMO), often with high interaction amongst the process variables. Thus a modern approach to control is possible using a model-based MIMO control system. Model Predictive Controllers (MPC) can handle such highly interacting multivariable systems efficiently due to their coordinated approach. An internal feedback mechanism exists between supersaturation generation and kinetic phenomena through the evolution of crystal population and solute concentration. This feedback mechanism determines the production rate and the quality attributes, e.g. purity, size distribution, and morphology, of the crystals. The goal is to produce crystals with a certain quality as far as possible using the minimum amount of energy. From the control point of view a crystalliser the main quality criteria are the properties of produced crystals, the size and size distribution. The quantity of the produced crystals and delivery of the crystalliser can be also controlled. This review gives an overview of the recent approach to the modeling, monitoring and control of crystallization processes with emphasis on the application of PAT for continuous real-time monitoring of the key process variables.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo



POVEZANOST RADA


Ustanove:
Fakultet kemijskog inženjerstva i tehnologije, Zagreb

Profili:

Avatar Url Nenad Bolf (autor)

Avatar Url Marija Lukić (autor)

Citiraj ovu publikaciju:

Lukić, Marija; Bolf, Nenad
Modelling, monitoring and control of batch crystallization processes // Knjiga sažetaka/Book of Abstracts XXV. hrvatski skup kemičara i kemijskih inženjera
Poreč, Hrvatska, 2017. (poster, nije recenziran, sažetak, znanstveni)
Lukić, M. & Bolf, N. (2017) Modelling, monitoring and control of batch crystallization processes. U: Knjiga sažetaka/Book of Abstracts XXV. hrvatski skup kemičara i kemijskih inženjera.
@article{article, author = {Luki\'{c}, Marija and Bolf, Nenad}, year = {2017}, keywords = {Batch crystallization, Process Analytical Technology (PAT), Model Predictive Controllers (MPC) ,}, title = {Modelling, monitoring and control of batch crystallization processes}, keyword = {Batch crystallization, Process Analytical Technology (PAT), Model Predictive Controllers (MPC) ,}, publisherplace = {Pore\v{c}, Hrvatska} }
@article{article, author = {Luki\'{c}, Marija and Bolf, Nenad}, year = {2017}, keywords = {Batch crystallization, Process Analytical Technology (PAT), Model Predictive Controllers (MPC)}, title = {Modelling, monitoring and control of batch crystallization processes}, keyword = {Batch crystallization, Process Analytical Technology (PAT), Model Predictive Controllers (MPC)}, publisherplace = {Pore\v{c}, Hrvatska} }




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