Autor: Mihajlović, I. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

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

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Skocz do pozycji: 2.

Tytuł:: ANFIS based prediction of the aluminum extraction from boehmite bauxite in the Bayer process
Autorzy:: Mihajlović, I.
Đurić, I.
Živković, Ž.
Powiązania:: https://bibliotekanauki.pl/articles/779072.pdf
Data publikacji:: 2014
Wydawca:: Zachodniopomorski Uniwersytet Technologiczny w Szczecinie. Wydawnictwo Uczelniane ZUT w Szczecinie
Tematy:: leaching
bauxite
Bayer process
statistical modeling
ANFIS
Opis:: This paper presents the results of nonlinear statistical modeling of the bauxite leaching process, as part of Bayer technology for alumina production. Based on the data, collected during the year 2011 from the industrial production in the alumina factory Birač, Zvornik (Bosnia and Herzegovina), nonlinear statistical modeling of the industrial process was performed. The model was developed as an attempt to define the dependence of the Al2O3 degree of recovery as a function of input parameters of the leaching process: content of Al2O3, SiO2 and Fe2O3 in the bauxite, as well as content of Na2Ocaustic and Al2O3 in the starting sodium aluminate solution. As the statistical modeling tool, Adaptive Network Based Fuzzy Inference System (ANFIS) was used. The model, defined by the ANFIS methodology, expressed a high fitting level and accordingly can be used for the efficient prediction of the Al2O3 degree of recovery, as a function of the process inputs under the industrial conditions.
Źródło:: Polish Journal of Chemical Technology; 2014, 16, 1; 103-109
1509-8117
1899-4741
Pojawia się w:: Polish Journal of Chemical Technology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Developing a Questionnaire for Measuring Safety Climate in the Workplace in Serbia
Autorzy:: Milijic, N.
Mihajlovic, I.
Strbac, N.
Zivkovic, Z.
Powiązania:: https://bibliotekanauki.pl/articles/90935.pdf
Data publikacji:: 2013
Wydawca:: Centralny Instytut Ochrony Pracy
Tematy:: safety climate measurement
construct validity
discriminant validity
reliability
klimat bezpieczeństwa
miejsce pracy
Serbia
Opis:: This study was conducted because a real method for measuring safety climate had never been developed and assessed in Serbian industry. The aim of this paper was to start the process of developing a safety climate questionnaire that could be used in Serbia. As a starting point a 21-item questionnaire was adopted after an extensive literature review. The questionnaire was distributed at several Serbian factories; 1098 workers responded. After a statistical analysis of the data obtained with the questionnaire and a critical comparison with the available reference results, a final questionnaire with 21 questions, divided into 7 groups, was developed. The 7 groups of questions (factors) were safety awareness and competence, safety communication, organizational environment, management support, risk judgment and management reaction, safety precautions and accident prevention, and safety training.
Źródło:: International Journal of Occupational Safety and Ergonomics; 2013, 19, 4; 631-645
1080-3548
Pojawia się w:: International Journal of Occupational Safety and Ergonomics
Dostawca treści:: Biblioteka Nauki

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