RIVS Science and Production Association:

Zimin A. V., General Director, Candidate of Engineering Sciences, e-mail: rivs@rivs.ru

Kalinin E. P., Director of the Ural Office, e-mail: ufa@rivs.ru

RIVS-proekt LLC:

Kutlin B. A., General Director, Doctor of Engineering Sciences, e-mail: rivs@rivs.ru

In 2011 Khaibulla processing plant phase I has been commissioned for processing copper and copper–zinc ore of Yubileiny deposit in the Republic of Bashkortostan under the project of construction of processing plant with an annual capacity of 3 Mt developed by the general designer — RIVS Science and Production Association, Saint-Petersburg. The processing plant consists of a coarse-crushing building with a ground-level covered storehouse; the main building with the areas for grinding, flotation and dewatering of concentrates; lime and chemical area; tailings storage with recycling water supply; and engineering and administration buildings. Ore grinding: two SAG mills MPSI-70×23 at stage I and two ball mills MSHCHTS-45×60 at stage II, close-cycled with hydrocyclones; flotation: flotation machines RIF-25 and RIF-8.5; filtration of concentrates: filter presses. The variant with SAG milling has been selected due to reduced cost as against the standard ore pretreatment technology. At the early operation stage, the processing plant has attained the design performance. Some issues connected with dewatering of concentrates required installation of additional filter press. Khaibulla processing plant has been constructed in accordance with the modern production standards. The design solutions within the Khaibulla processing plant project enable high performance and further improvement of the plant. The article gives a review of the design solutions accepted under the project of Khaibulla processing plant for copper–zinc ore flotation under technical regulations prepared by RIVS. The authors compare the flow charts of the standard ore pretreatment and semi-autogenous milling and the design solutions enabling attainment of the design performance data.