Optimization test of operation of URB/ZS-3 automatic machine for breaking oversized lumps under conditions of Polkowice-Sieroszowice mine
Journal Title: Mining – Informatics, Automation and Electrical Engineering - Year 2018, Vol 536, Issue 4
Abstract
This article presents the experience from the first stage of the optimization tests of an automatic machine for breaking oversized lumps. The tests took place between December 2017 and March 2018 at the O/ZG Polkowice-Sieroszowice mine. The URB/ZS-3 automatic machine was developed as part of the second competition of a joint venture financed by NCBR and KGHM Polska Miedź S.A. under the name of CuBR. The adopted methodology of carrying out the operational tests of the URB/ZS-3 machine was discussed, which had to take into account the specific requirements and operating conditions of the mining department in the Polkowice-Sieroszowice mine. The reference point for evaluating the effectiveness of the new solution was the cleaning times of the grate by a machine working in remote mode. The results of clearing the grate of excavated materials by a machine working in automatic mode were presented for various algorithms and scenarios included in the control software. The influence of the degree of ore fragmentation (including the number of oversized lumps) on the time of the grate cleaning was taken into account. The influence of the changes introduced in this software on the obtained grate discharge times was initially evaluated. The article also presents the impact of loading the grate with the use of loaders and haul trucks on the effectiveness of the automatic machine for breaking oversized lumps. Also, the driver elements of the machine were assessed in terms of their reliability, and the directions for possible structural changes were proposed. In conclusion, the directions for further activities aimed at optimizing the machine and increasing its efficiency and reliability were proposed.
Authors and Affiliations
Leszek Ziętkowski, Janusz Młynarczyk, Wojciech Sobolewski
Keywords
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- EP ID EP471172
- DOI 10.7494/miag.2018.4.536.83
- Views 132
- Downloads 0
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