Method of reliability assessment of pin joints in undercarriages of open-pit mining machinery—a case study

Author(s):  
P Sokolski
2021 ◽  
Author(s):  
Mariia Kurylo ◽  
Ivan Virshylo

Uranium deposits and resources are considered as an important raw material base for the implementation of scenarios for the green and clean energy transition. Traditionally discussed risks of potential environmental impacts of Uranium projects development could be subdivided by deposit type. Surficial type mineralization connected to the calcretes in shallow paleovalleys or playas has many specific features which might be analysed separately. Case study of Oum Dheroua Uranium project in the Islamic Republic of Mauritania shows an unexpected lower estimation of environmental risks comparatively to conventional Uranium projects despite to open-pit mining technology. The reasons for such estimation, connected to geographic location, the inclusion of Uranium minerals in natural ecosystems and low scale of deposits (both in grade and size sense). Potential by-products (Vanadium and Strontium) are not part of environmental factors assessment.


2013 ◽  
Vol 58 (2) ◽  
pp. 569-578 ◽  
Author(s):  
M.J. Rahimdel ◽  
M. Ataei ◽  
R. Kakaei ◽  
S.H. Hoseinie

Considering the high investment and operation costs, reliability analysis of mining machineries is essential to achieve a lean operation and to prevent the unwanted stoppages. In open pit mining, drilling, as the initial stage of the exploitation operations, has a significant role in the other stages. Failure of drilling machines causes total delay in blasting operation. In this paper, the reliability of drilling operation has been analyzed using the Markov method. The failure and operation data of four heavy rotary drilling machines in Sarcheshme copper mine in Iran have been used as a case study. Failure rate and repair rate of all machines have been calculated using available data. Then, 16 possible operation states have been defined and the probability of being of drilling fleet in each of the states was calculated using Markov theory. The results showed that there was 77.2% probability that all machines in fleet were in operational condition. It means that, considering 360 working days per year, drilling operation will be in a reliable condition in 277.92 days.


2018 ◽  
Vol 119 ◽  
pp. 5-26
Author(s):  
Hans Daduna ◽  
Ruslan Krenzler ◽  
Robert Ritter ◽  
Dietrich Stoyan

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