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Wyszukujesz frazę "Yuceer, M." wg kryterium: Autor


Wyświetlanie 1-3 z 3
Tytuł:
Optimisation of operating conditions in fed-batch baker’s yeast fermentation
Autorzy:
Atasoy, I.
Yuceer, M.
Berber, R.
Powiązania:
https://bibliotekanauki.pl/articles/185738.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
fed-batch fermenter
baker's yeast
dynamic optimization
SQP
Nonlinear
fermentator półciągły
drożdże piekarskie
optymalizacja dynamiczna
nieliniowość
Opis:
Saccharamyces cerevisia known as baker’s yeast is a product used in various food industries. Worldwide economic competition makes it a necessity that industrial processes be operated in optimum conditions, thus maximisation of biomass in production of saccharamyces cerevisia in fedbatch reactors has gained importance. The facts that the dynamic fermentation model must be considered as a constraint in the optimisation problem, and dynamics involved are complicated, make optimisation of fed-batch processes more difficult. In this work, the amount of biomass in the production of baker’s yeast in fed-batch fermenters was intended to be maximised while minimising unwanted alcohol formation, by regulating substrate and air feed rates. This multiobjective problem has been tackled earlier only from the point of view of finding optimum substrate rate, but no account of air feed rate profiles has been provided. Control vector parameterisation approach was applied the original dynamic optimisation problem which was converted into a NLP problem. Then SQP was used for solving the dynamic optimisation problem. The results demonstrate that optimum substrate and air feeding profiles can be obtained by the proposed optimisation algorithm to achieve the two conflicting goals of maximising biomass and minimising alcohol formation.
Źródło:
Chemical and Process Engineering; 2013, 34, 1; 175-186
0208-6425
2300-1925
Pojawia się w:
Chemical and Process Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Investigation Of Infrared Drying Behaviour Of Spinach Leaves Using ANN Methodology And Dried Product Quality
Autorzy:
Sarimeseli, A.
Yuceer, M.
Powiązania:
https://bibliotekanauki.pl/articles/185285.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Artificial neural network (ANN)
infrared
spinach drying
ascorbic acid
rehydration
colour parameters
sztuczne sieci neuronowe
suszenie
kwas askorbinowy
rehydracja
Opis:
Effects of infrared power output and sample mass on drying behaviour, colour parameters, ascorbic acid degradation, rehydration characteristics and some sensory scores of spinach leaves were investigated. Within both of the range of the infrared power outputs, 300–500 W, and sample amounts, 15–60 g, moisture content of the leaves was reduced from 6.0 to 0.1±(0.01) kg water/ kg dry base value. It was recorded that drying times of the spinach leaves varied between 3.5–10 min for constant sample amount, and 4–16.5 min for constant power output. Experimental drying data obtained were successfully investigated by using artificial neural network methodology. Some changes were recorded in the quality parameters of the dried leaves, and acceptable sensory scores for the dried leaves were observed in all of the experimental conditions.
Źródło:
Chemical and Process Engineering; 2015, 36, 4; 425-436
0208-6425
2300-1925
Pojawia się w:
Chemical and Process Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evaluation of electromagnetic filtration efficiency using least squares support vector model
Autorzy:
Yuceer, M.
Yildiz, Z.
Abbasov, T.
Powiązania:
https://bibliotekanauki.pl/articles/110758.pdf
Data publikacji:
2015
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
electromagnetic filtration
disperse systems
support vector machine (SVM)
Opis:
The present study aims to apply a least squares support vector model (LS–SVM) for predicting cleaning efficiency of an electromagnetic filtration process, also called quality factor, in order to remove corrosion particles (rust) of low concentrations from water media. For this purpose, three statistical parameters: correlation coefficient, root mean squared error and mean absolute percentage error were calculated for evaluating the performance of the LS–SVM model. It was found that the developed LS–SVM can be used to predict the effectiveness of electromagnetic filtration process.
Źródło:
Physicochemical Problems of Mineral Processing; 2015, 51, 1; 173-180
1643-1049
2084-4735
Pojawia się w:
Physicochemical Problems of Mineral Processing
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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