Submit an Article
Become a reviewer
Vol 192
Pages:
107-110
Download volume:
RUS
Article

Application of fuzzy-logic for modelling of process of fusion of the medno-nickel concentrate in furnace Vanjukova

Authors:
N. V. Danilovа1
E. D. Kadyrov2
About authors
  • 1 — Ph.D. assistant lecturer Saint Petersburg State Mining University
  • 2 — Ph.D. associate professor Saint Petersburg State Mining University
Date submitted:
2010-10-03
Date accepted:
2010-12-16
Date published:
2011-09-27

Abstract

In work mathematical model of process of fusion of copper-nickel sulphidic raw materials with use of methods of indistinct logic is described. Updating of algorithms fuzzy-logic (formation of base of rules of process on the basis of the statistical data of work of the furnace) is described.

Область исследования:
(Archived) Automation of technological processes аnd manufactures in mining and processing industries
Keywords:
mathematical modeling fuzzy-logic
Funding:

None

Go to volume 192

References

  1. Lukas V.A. Fuzzy-logic bases; The Ural mining-geological academy. Ekaterinburg, 2000
  2. Kadyrov E.D., Danilova N.V. Estimation of techno-logical parameters of autogenous processes // Automation in the industry. 2008. N5.

Similar articles

Control system of ore-smelting furnace using harmonic components of electrodes current
2011 V. V. Vasiliev
Matte quality management of vanyukov`s process on the basis of neurofuzzy models
2011 A. V. Spesivtsev, Y. V. Gorshkov, M. L. Dudorova, V. I. Lazarev
Improvement of the technology аssociated production of selenium in recycling sludge anodic electrolysis of copper
2011 G. V. Petrov, A. A. Chernyshev, V. N. Kovalev, Y. V. Andreev
3D heat distribution in the construction of the reduction cell with burned anodes
2011 P. A. Petrov
Bahavior of insoluble anods obtained оn the base of secondary lead by electrowinning copper from sulfuric solution
2011 M. V. Martirosyan, R. B. Jorukhyan, V. A. Mazmanyan
The calculation of the kinetics of chemical and metallurgical processes for the purpose of the control at use of the interval method
2011 I. I. Beloglazov