Autor: Djordjevic, M. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: The influence of pH adjusted with different acids on the dyeability of polyester fabric
Autorzy:: Miljkovic, M. M.
Djordjevic, D. M.
Miljkovic, V. M.
Stamenkovic, M.
Stepanovic, J.
Powiązania:: https://bibliotekanauki.pl/articles/949502.pdf
Data publikacji:: 2014
Wydawca:: Zachodniopomorski Uniwersytet Technologiczny w Szczecinie. Wydawnictwo Uczelniane ZUT w Szczecinie
Tematy:: polyester
dyeing
disperse
dyes
pH
AIDS
Opis:: The influence of using formic, oxalic, citric, tartaric, hydrochloric, nitric, sulphuric and phosphoric acid for dyebath pH adjustment was investigated upon the dyeing of polyester fabric with CI Disperse Yellow 60. The positions of colour in CIELab coordinates of the samples dyed with the addition of tested acids were assessed and compared to those dyed with the addition of acetic acid. It was found that the differences in dyeabilities obtained with the addition of citric, oxalic, hydrochloric, nitric and sulphuric acid are entirely acceptable according to both M&S 83A and CMC (2:1) standards in comparison to the dyeability obtained with the addition of acetic acid.
Źródło:: Polish Journal of Chemical Technology; 2014, 16, 4; 1-5
1509-8117
1899-4741
Pojawia się w:: Polish Journal of Chemical Technology
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Statistical modeling of copper losses in the silicate slag of the sulfide concentrate smelting process
Autorzy:: Savic, M. V.
Djordjevic, P. B.
Mihajlovic, I. N.
Zivkovic, Z. D.
Powiązania:: https://bibliotekanauki.pl/articles/778781.pdf
Data publikacji:: 2015
Wydawca:: Zachodniopomorski Uniwersytet Technologiczny w Szczecinie. Wydawnictwo Uczelniane ZUT w Szczecinie
Tematy:: modeling
copper concentrate
smelting process
copper losses
slag
ANFIS
Opis:: This article presents the results of the statistical modeling of copper losses in the silicate slag of the sulfide concentrates smelting process. The aim of this study was to define the correlation dependence of the degree of copper losses in the silicate slag on the following parameters of technological processes: SiO2, FeO, Fe3O4, CaO and Al2O3 content in the slag and copper content in the matte. Multiple linear regression analysis (MLRA), artificial neural networks (ANNs) and adaptive network based fuzzy inference system (ANFIS) were used as tools for mathematical analysis of the indicated problem. The best correlation coefficient (R2 = 0.719) of the final model was obtained using the ANFIS modeling approach.
Źródło:: Polish Journal of Chemical Technology; 2015, 17, 3; 62-69
1509-8117
1899-4741
Pojawia się w:: Polish Journal of Chemical Technology
Dostawca treści:: Biblioteka Nauki

Artykuł

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