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Pregled bibliografske jedinice broj: 1217927

DETERMINATION OF OPTIMAL COOLING PROFILE OF BATCH COOLING CRYSTALLIZER


Sacher, Josip; Sejdić, Marko; Gavran, Matea; Bolf, Nenad; Ujević Andrijić, Željka; Rimac, Nikola; Herceg, Srečko
DETERMINATION OF OPTIMAL COOLING PROFILE OF BATCH COOLING CRYSTALLIZER // 19. international conference Ružička days
Vukovar, Hrvatska, 2022. str. 76-76 (poster, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 1217927 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
DETERMINATION OF OPTIMAL COOLING PROFILE OF BATCH COOLING CRYSTALLIZER

Autori
Sacher, Josip ; Sejdić, Marko ; Gavran, Matea ; Bolf, Nenad ; Ujević Andrijić, Željka ; Rimac, Nikola ; Herceg, Srečko

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

Skup
19. international conference Ružička days

Mjesto i datum
Vukovar, Hrvatska, 21.09.2022. - 23.09.2022

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
kristalizacija ; model momenata ; optimizacija ; genetički algoritam
(crystallization ; moment model ; optimization ; genetic algorithm)

Sažetak
The batch cooling crystallization is widely used unit operation for separation and purification of a compound in a single step. It is widely applied in pharmaceutical, fine chemicals and food industry among the others. In pharmaceutical industry a large number of products (or intermediates) requires crystallization in at least one step of the process. A number of problems can occur due to excessive formation of fine crystals during the process (long filtering times, clogging of the equipment, cake compression) and because of that crystals generated by nucleation are considered undesirable. In this work we developed a program in Matlab using moment transformation of population balance as the process model. Crystallization kinetics for potassium sulphate was taken from literature because of good quality data and certain kinetics. An optimization problem was formulated to minimize ratio of the third moment of nucleation generated crystals to third moment of seed grown crystal. In addition, constraints were added in order to limit the duration of the process and ensure that appropriate yield is achieved at the end of the process. Optimization was performed first with genetic algorithm in order to find a solution which is near to the optimal solution. Afterwards, a sequential quadratic programming algorithm was applied to further improve the profile obtained by genetic algorithm. The solution obtained by sequential use of algorithms proves to be stable and satisfies conditions set by constraints. Therefore, the developed program can be used for calculation of the optimal temperature profile of batch crystallizer if the kinetics of the crystallizing compound is known.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo



POVEZANOST RADA


Projekti:
EK-EFRR-KK.01.1.1.07.0017 - Napredno vođenje procesa kristalizacije (CrystAPC) (Bolf, Nenad, EK - KK.01.1.1.07) ( CroRIS)

Ustanove:
Fakultet kemijskog inženjerstva i tehnologije, Zagreb


Citiraj ovu publikaciju:

Sacher, Josip; Sejdić, Marko; Gavran, Matea; Bolf, Nenad; Ujević Andrijić, Željka; Rimac, Nikola; Herceg, Srečko
DETERMINATION OF OPTIMAL COOLING PROFILE OF BATCH COOLING CRYSTALLIZER // 19. international conference Ružička days
Vukovar, Hrvatska, 2022. str. 76-76 (poster, međunarodna recenzija, sažetak, znanstveni)
Sacher, J., Sejdić, M., Gavran, M., Bolf, N., Ujević Andrijić, Ž., Rimac, N. & Herceg, S. (2022) DETERMINATION OF OPTIMAL COOLING PROFILE OF BATCH COOLING CRYSTALLIZER. U: 19. international conference Ružička days.
@article{article, author = {Sacher, Josip and Sejdi\'{c}, Marko and Gavran, Matea and Bolf, Nenad and Ujevi\'{c} Andriji\'{c}, \v{Z}eljka and Rimac, Nikola and Herceg, Sre\v{c}ko}, year = {2022}, pages = {76-76}, keywords = {kristalizacija, model momenata, optimizacija, geneti\v{c}ki algoritam}, title = {DETERMINATION OF OPTIMAL COOLING PROFILE OF BATCH COOLING CRYSTALLIZER}, keyword = {kristalizacija, model momenata, optimizacija, geneti\v{c}ki algoritam}, publisherplace = {Vukovar, Hrvatska} }
@article{article, author = {Sacher, Josip and Sejdi\'{c}, Marko and Gavran, Matea and Bolf, Nenad and Ujevi\'{c} Andriji\'{c}, \v{Z}eljka and Rimac, Nikola and Herceg, Sre\v{c}ko}, year = {2022}, pages = {76-76}, keywords = {crystallization, moment model, optimization, genetic algorithm}, title = {DETERMINATION OF OPTIMAL COOLING PROFILE OF BATCH COOLING CRYSTALLIZER}, keyword = {crystallization, moment model, optimization, genetic algorithm}, publisherplace = {Vukovar, Hrvatska} }




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