scholarly journals Developing the methodology on creating unified criterion for diagnosing the mining machinery equipment defects

2021 ◽  
Vol 823 (1) ◽  
pp. 012014
Author(s):  
P B Gerike ◽  
P V Eshcherkin
Keyword(s):  
1948 ◽  
Vol 27 (5) ◽  
pp. 241
Author(s):  
J.W.L. Anderson
Keyword(s):  

Alloy Digest ◽  
1971 ◽  
Vol 20 (8) ◽  

Abstract ABRASALLOY No. 3 is a space-age composite alloy steel developed to provide a unique combination of strength, ductility and abrasion resistance for earth-moving, mineral processing and mining machinery. It is not available in any other plate manufactured by conventional rolling and heat treatment. This datasheet provides information on composition, hardness, elasticity, tensile properties, and shear strength as well as fracture toughness. It also includes information on forming, heat treating, machining, and joining. Filing Code: SA-267. Producer or source: Atlantic Steel Corporation.


2017 ◽  
Vol 27 (2) ◽  
pp. 197-209 ◽  
Author(s):  
Jarosław Brodny ◽  
Sara Alszer ◽  
Jolanta Krystek ◽  
Magdalena Tutak

Abstract Underground extraction of coal is characterized by high variability of mining and geological conditions in which it is conducted. Despite ever more effective methods and tools, used to identify the factors influencing this process, mining machinery, used in mining underground, work in difficult and not always foreseeable conditions, which means that these machines should be very universal and reliable. Additionally, a big competition, occurring on the coal market, causes that it is necessary to take action in order to reduce the cost of its production, e.g. by increasing the efficiency of utilization machines. To meet this objective it should be pro-ceed with analysis presented in this paper. The analysis concerns to availability of utilization selected mining machinery, conducted using the model of OEE, which is a tool for quantitative estimate strategy TPM. In this article we considered the machines being part of the mechanized longwall complex and the basis of analysis was the data recording by the industrial automation system. Using this data set we evaluated the availability of studied machines and the structure of registered breaks in their work. The results should be an important source of information for maintenance staff and management of mining plants, needed to improve the economic efficiency of underground mining.


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