Pregled bibliografske jedinice broj: 1145627
Microcapsules production with mathematical optimization coupled with CFD simulation and neural networks
Microcapsules production with mathematical optimization coupled with CFD simulation and neural networks // 56. HRVATSKI I 16. MEĐUNARODNI SIMPOZIJ AGRONOMA / Rožman, Vlatka ; Antunović, Zvonko (ur.).
Osijek, 2021. str. 337-337 (poster, međunarodna recenzija, sažetak, ostalo)
CROSBI ID: 1145627 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Microcapsules production with mathematical
optimization coupled with CFD simulation and
neural networks
Autori
Vinceković, Marko ; Jurić, Slaven ; Vlahoviček- Kahlina, Kristina ; Zglav, Ante ; Rejšel, Dorotea ; Srnbad, Dejan ; Keser, Robert
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, ostalo
Izvornik
56. HRVATSKI I 16. MEĐUNARODNI SIMPOZIJ AGRONOMA
/ Rožman, Vlatka ; Antunović, Zvonko - Osijek, 2021, 337-337
Skup
56. hrvatski i 16. međunarodni simpozij agronoma
Mjesto i datum
Vodice, Hrvatska, 05.09.2021. - 10.09.2021
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
microcapsules optimization, encapsulation, computational fluid dynamics, neural networks, mathematical optimization
Sažetak
Modern agricultural production uses more and more new and innovative methods for nutrition and protection of certain plant crops. One of the newer methods is the method of applying microcapsule formulations filled with bioactive components with time release. To achieve the production of microcapsule formulation with optimal properties and shape, it is necessary to optimize the preparation parameters (concentration, temperature, pressure-flow rate, nozzle size). We propose a method to select these parameters using a novel procedure. Firstly, a potentially promising parameter set will be chosen based on a neural network trained using previous data. Secondly, a mathematical optimization algorithm will refine the set using CFD simulations of the microcapsule equipment. This is all done to minimize the number of real-world experiments that need to be done. Lastly, the lab technician will receive instructions on which parameters to use and measure the results entering them into the algorithm which in turn will iteratively offer an improved set of parameters with regards to the chosen properties.
Izvorni jezik
Engleski
Znanstvena područja
Poljoprivreda (agronomija)
POVEZANOST RADA
Ustanove:
Agronomski fakultet, Zagreb
Profili:
Kristina Vlahoviček-Kahlina
(autor)
Slaven Jurić
(autor)
Marko Vinceković
(autor)
Robert Keser
(autor)