Improvement of reliability and durability of open pit mining machinery parts

2018 ◽  
pp. 155-163
Author(s):  
And. A. Kurasov ◽  
Art. A. Kurasov
Keyword(s):  
Contact Interaction ◽  
Laboratory Analysis ◽  
Open Pit ◽  
Open Pit Mining ◽  
Sliding Velocity ◽  
Mining Equipment ◽  
Friction Control ◽  
Mining Machinery

The article reviews methods of improving reliability and durability of machinery parts during operation of open pit mining equipment. An approach to friction control in contact interaction between parts and assemblies is presented. Effects of pressure and sliding velocity in friction, as well as prevention of intensive wear of parts, assemblies and systems during operation are exemplified. It is analyzed how reliability and durability of machinery parts depend on lubrication during operation of open pit mining equipment. Requirement of laboratory analysis of lubricants is substantiated.

scholarly journals Modelling for degreasing the mining equipment downtime by optimizing blasting period at Erdenet surface mine

2021 ◽  
Vol 280 ◽  
pp. 08001
Author(s):  
Khavalbolot Kyelgyenbai ◽  
Serhii Pysmennyi ◽  
Serhii Chukharev ◽  
Batbolor Purev ◽  
Ijilmaa Jambaa
Keyword(s):  
Open Pit ◽  
Open Pit Mining ◽  
Dump Truck ◽  
Mining Equipment ◽  
Weekly Basis ◽  
Surface Mine ◽  
Molybdenum Deposit ◽  
The World ◽  
Dump Trucks ◽  
Mining Works

Erdenet copper-molybdenum deposit is the biggest one in the world and has a significant impact on Mongolian society and economy. Today LIEBHERR-994B hydraulic shovels from Germany, electric shovels including EKG-10 and EKG-15 from Russia operate for the mining works, and dump truck BelAZ - 75130 used for transportation. The causes of shovel downtime are classified as technical, technological, and organizational. During the study period, 41% of the total downtime of the excavator’s park was technical, 45% was technological, and 11% was organizational downtime. For shovels, 7% of technological downtime is due to blasting, and for dump trucks 8.7%. In open-pit mining, blasting is performed on a weekly basis, so the duration of this technological downtime can be considered almost constant. If the time between blasts or period of blasting can be arranged optimally, it will be possible to reduce mining equipment’s downtime due to blasting.

scholarly journals Autonomous mining dump trucks

2020 ◽  
Vol 59 (3) ◽  
pp. 123-130
Author(s):  
Mark Leont’evich KHAZIN ◽  
Keyword(s):  
Human Error ◽  
Human Factor ◽  
Mining Industry ◽  
Developed Countries ◽  
Open Pit ◽  
Open Pit Mining ◽  
Mining Equipment ◽  
Labor Costs ◽  
Mining Company ◽  
Dump Trucks

Research aim is to reduce the costs of a mining company and the number of accidents by increasing the efficiency of the use of equipment and eliminating the human factor. Research methodology: analysis of possible areas of application of autonomous mining dump trucks and problems associated with this process. Results. Mining is carried out in difficult mining conditions, which makes the presence of people in the working area of the quarry problematic. Mining companies are looking to cut costs and make jobs safer, especially in developed countries with high labor costs. The use of dump trucks with remote and autonomous control systems in open pits makes it possible to increase the safety and efficiency of open pit mining, reduce the influence of the human factor and increase the productivity of mining machines. While human drivers can do their job well, autonomous trucks can drive the exact route every time without getting bored, tired or resting. The car does not need clean air, good visibility and a lunch break. At the same time, mining autonomous dump trucks can be used in remote-controlled, semi-autonomous and autonomous modes, and the driver in them is replaced by a central controller and a local self-management system. The robot does not get tired and does not make mistakes, it can work 24 hours a day. Eliminating human error and regular training improves safety and increases the productivity of a mining operation. Such companies as BelAZ, Komatsu and Caterpillar are the leaders in the production of autonomous mining dump trucks. Conclusions. The introduction of autonomous transportation allows the mining company to actually reduce its operating costs. While autonomous technologies are still in their infancy, they continue to evolve. Complex solutions will be of great interest - centralized systems that allow working with a fleet of autonomous vehicles and other mining equipment. Therefore, this direction today is the most developing and promising, and the use of autonomous dump trucks in the mining industry is no longer a distant prospect, but a reality of today

scholarly journals The challenges of Industry 4.0 and the need for new answers in the mining industry

2021 ◽  
pp. 154-166
Author(s):  
VELIKANOV Vladimir Semenovich ◽  
Keyword(s):  
Industry 4.0 ◽  
System Analysis ◽  
Mining Industry ◽  
Operating Conditions ◽  
Raw Material ◽  
Open Pit ◽  
Open Pit Mining ◽  
Mining Equipment ◽  
Mining Operations ◽  
Technical Requirements

Relevance of the work is due to the need for further modernization of the economy of the Russian Federation, which involves solving both basic theoretical and applied problems of the domestic mining industry. This circumstance largely determines not only the state of the state’s production resources, but also its scientific and technical potential. The global trend in the development of mining operations in the world is mainly determined by open pit mining of raw material resources. Open pit mining is characterized by an increase in the volume of processed rock mass, improved production processes through the use of advanced technologies, which entails the use of high-capacity mining machines. The main problems of open-cut mining are the following: complex mining and geological and mining-technical conditions; depletion of the mineral resource base; and constantly changing environmental conditions. All this leads to an increase in the cost of mining and a decrease in the competitiveness of the products of mining companies. Objective of the work. To establish the need to modernize traditional technologies in open pit mining with the possibility of integrating the main ideas of Industry 4.0. Research methodology. When solving the set tasks a complex approach was used, including: scientific analysis and synthesis of previously published research, analytical studies, laboratory experiment and observations of the work of open-pit excavators in real operating conditions. The methods of mathematical statistics include system analysis and modeling with the use of information technologies form the methodological basis of the research. Results. This paper deals with the issues of modelling the cab of a quarry crawler excavator to meet the technical requirements for the excavator cab in protecting against tipping and rock impacts. Model setup and analysis of simulation results after loading are performed using Autodesk Inventor software. An optimal finite-element model of an excavator operator’s cabin has been developed to assess the effectiveness of its structural protection. Conclusions. Implementing the core ideas of Industry 4.0 is a complex scientific and technical challenge. Its solution is connected with significant economic costs, including modernization of mining equipment, infrastructure, as well as changes in the technology of open-cast mining. The implementation of complex automated control systems and practical application of the latest information and geoinformation technologies will unambiguously give high estimated figures and have high applied potential, and ultimately ensure safety of open pit mining, increase of efficiency and productivity, possibility of mining in regions with complex mining and geological and mining-technical conditions.

A NEW FUZZY MULTI CRITERIA DECISION MAKING MODEL FOR OPEN PIT MINES EQUIPMENT SELECTION

2011 ◽  
Vol 28 (03) ◽  
pp. 279-300 ◽  
Author(s):  
ABBAS AGHAJANI BAZZAZI ◽  
MORTEZA OSANLOO ◽  
BEHROOZ KARIMI
Keyword(s):  
Decision Making ◽  
Real World ◽  
Mine Planning ◽  
Open Pit ◽  
Open Pit Mining ◽  
Multi Criteria Decision Making ◽  
Good Precision ◽  
Mining Equipment ◽  
Equipment Selection ◽  
Proposed Model

Nowadays, the capital cost of open-pit mining equipment is very high so any mistake in the selection of quantity, type and capacity of equipment may cause irreparable impact on the net present value of mining project. Mine planning engineers generally use their intuition and experience in decision making even though equipment selection is a complex multi criteria decision problem. Considering the tangible along with intangible factors in the mine equipment selection problem, this paper proposes a new method of multi criteria decision making (MCDM) that makes it possible to select the optimal equipment that satisfies the decision maker. In a real-world situation, because of incomplete or non-obtainable information, the data (attributes) are often not deterministic but they are usually fuzzy-imprecise. Our proposed model considers objective, critical, and subjective factors as the three main common factors in equipment selection analysis. The last two factors, critical and subjective factors, are defined by decision maker's judgments for more adoption with real world problems. A case study is presented to illustrate the use of the proposed model and to demonstrate the capability of the model. The result of this study shows significant reduction of time consumption of calculation and good precision compared to customary methods such as Chang's fuzzy AHP method.

Substantiating Systems of Open-Pit Mining Equipment in the Context of Specific Cost

2019 ◽  
Vol 100 (2) ◽  
pp. 301-305 ◽  
Author(s):  
V. I. Symonenko ◽  
Jamil Sami Haddad ◽  
O. V. Cherniaiev ◽  
V. O. Rastsvietaiev ◽  
M. O. Al-Rawashdeh
Keyword(s):  
Open Pit ◽  
Open Pit Mining ◽  
Mining Equipment ◽  
Specific Cost
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