Siberian Federal University 
- Issue
- Journal of Siberian Federal University. Engineering & Technologies. 2012 5 (5)
- Authors
- Piskazhova, Tatyana V.; Polyakov, Peter V.; Sharypov, Nikita A.; Krasovitsky, Alexander V.; Sorokin, Sergey A.
- Contact information
- Piskazhova, Tatyana V.: Siberian Federal University , 79 Svobodny, Krasnoyarsk, 660041 Russia , e-mail: ; Polyakov, Peter V.: Siberian Federal University , 79 Svobodny, Krasnoyarsk, 660041 Russia; Sharypov, Nikita A.: Siberian Federal University , 79 Svobodny, Krasnoyarsk, 660041 Russia; Krasovitsky, Alexander V.: Nadvoitskiy Aluminum Plant , 1 Zavodskaya, Nadvoitsy, 186430 Russia; Sorokin, Sergey A.: Nadvoitskiy Aluminum Plant , 1 Zavodskaya, Nadvoitsy, 186430 Russia
- Keywords
- multivariate statistical analysis; principal component analysis; the anode paste consumption; energy consumption
- Abstract
Based on principal component analysis for the period under review revealed the most significant variables that influenced the techno-economic performance of aluminum electrolytic. The statistical models relating anode paste consumption and energy consumption with the parameters of raw materials and technology for the horizontal stud Soderberg reduction cells was obtained. The variation of the anode paste consumption and energy consumption when the individual analyzed parameter in three standard deviations was calculated.
- Pages
- 538-553
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/3197
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