Mine conveyor belt fire classification

2021 ◽  
pp. 073490412110563
Author(s):  
Manuel J Barros-Daza ◽  
Kray D Luxbacher ◽  
Brian Y Lattimer ◽  
Jonathan L Hodges
Keyword(s):  
Input Parameter ◽  
Conveyor Belt ◽  
Classification Model ◽  
Design Parameters ◽  
Air Velocity ◽  
Conveyor Belts ◽  
Artificial Neural ◽  
Mine Roof ◽  
Test Scenarios

This article presents a conveyor belt fire classification model that allows for the determination of the most effective firefighting strategy. In addition, the effect of belt design parameters on the fire classification was determined. A methodology that involves the use of numerical simulations and artificial neural networks was implemented. An approach previously proposed for modeling fires over conveyor belts was used. With the objective of obtaining some required modeling input parameter and verifying the capacity of this approach to get realistic results, computational fluid dynamics model calibration and validation were carried out using experimental test results available in the literature. Results indicated that scenarios with belt positions closer to the mine roof and greater tunnel heights require a higher longitudinal air velocity to be attacked directly. Furthermore, the belt fire classification model provided by the artificial neural network had an accuracy around 95% when test scenarios were classified.

scholarly journals Design of Device for Capturing Conveyor Belts and Calculation Method of Basic Parameters for Catchers

2019 ◽  
Vol 18 (3) ◽  
pp. 223-232
Author(s):  
A. V. Glebov ◽  
G. D. Karmaev
Keyword(s):  
Conveyor Belt ◽  
Design Parameters ◽  
Brake Shoe ◽  
Reverse Motion ◽  
Motion Time ◽  
Calculation Methodology ◽  
Patent Literature ◽  
Conveyor Belts ◽  
Scientific Technical ◽  
Belt Width

Results of the analysis of scientific, technical and patent literature show that while having a great variety of constructive implementation of the proposed catchers there are no efficient and sufficiently reliable devices for catching conveyor belts at its reverse motion which are relatively simple in design. This is proved by practical activity of enterprises involved in extraction and processing of commercial minerals and other industries. A new design of a conveyor belt catcher that meets most requirements for the given equipment has been developed at the Institute of Mining, Ural of Branch of the Russian Academy of Sciences and then it has been tested under industrial conditions. The design makes provision for retention of the conveyor belt at its reverse motion beyond free edges from transported material. Catching devices are installed on both sides of the belt. Braking action of the belt at the reverse motion occurs due to its friction interaction with a catcher friction shoe located above the belt, and an eccentric mounted on the frame under the belt. A friction shoe is made with a concave curved surface facing the belt. The paper presents a calculation methodology of main parameters for the proposed design of catcher conveyor belts that permits to determine a force catching a conveyor belt down and for every braking period distance which has been passed by the belt, value of its compression, value of braking force, braking time and acceleration of belt motion, time and length of the distance passed by the belt to its full stop, parameters of a catcher and supporting structures, and other parameters. The paper also provides results of calculations for main design parameters of catching devices with an inclined conveyor having a belt width of 1400 mm for two catcher design versions: with location of an eccentric under the belt, and a brake shoe over the belt (option I) and with location of the eccentric over the conveyor belt, and the brake friction shoe under the belt (option II).

scholarly journals A critical evaluation of the methods for the determination of required volumes for detention tank

2018 ◽  
Vol 45 ◽  
pp. 00088 ◽  
Author(s):  
Mariusz Starzec
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Catchment Area ◽  
Critical Evaluation ◽  
Design Parameters ◽  
Method Of Calculation ◽  
Rainfall Duration ◽  
Detention Tank ◽  
Artificial Neural

Simplified methods allow a straightforward and quick determination of parameters of interest. A simplified method of calculation to be used must provide sufficiently accurate simulation results. This paper presents the results of tests completed to evaluate the effects of the parameters which describe a sewer catchment area and network on the value of Tp, a parameter applied in the Dziopak method [18]. The results of 2997 hydrodynamic simulations allowed to formulate an artificial neural network the application of which enabled the determination of the value of Tp dependent on the design parameters of a sewer catchment area and network. The artificial neural network had a very low error R2 = 0.9972 between the expected and determined values of Tp. The completed tests indicated a relationship by which an increase of the rainfall duration, a parameter used in the dimensioning of detention tank, is concomitant to an increase in the value of Tp. The calculations made so far included an assumption that the Tp value is constant irrespective of the design rainfall duration for the dimensioning of detention tank; this assumption has led to gross calculation errors. The paper also provides proof that the inclusion of these relationships allows a more precise determination of the service volume required for a multi-chamber detention tank.

FATIGUE STRENGTH IMPROVEMENT OF STEEL ROLLERS IN CONVEYOR BELTS WHEN USING SHOT PEENING

Tribologia ◽  
2019 ◽  
Vol 284 (2) ◽  
pp. 143-149
Author(s):  
Grzegorz Zając ◽  
Jerzy Michnej
Keyword(s):  
Fatigue Strength ◽  
Shot Peening ◽  
Conveyor Belt ◽  
Precise Determination ◽  
Roller Surface ◽  
Compressive Stresses ◽  
Fatigue Strength Improvement ◽  
Conveyor Belts ◽  
Strength Improvement

Numerous factors influence the tribological wear of steel rollers used in conveyor belts. The difficulty in precise determination of these factors results from, among others, a complex and not completely explored wear mechanism. Corrosive and fatigue damages of conveyor belt rollers start mainly on the surface. The present article describes studies on the influence of processing technology of the roller surface by means of the shot peening method in the context of fatigue strength improvement. Compressive stresses formed due to shot peening reach the maximum value just below the roller surface. The values of compressive stresses reach about half of the proof stress of the steel from which they are made. In results of the carried out experimental model tests, it was found that it is possible to significantly improve the properties of the top surface layer of the roller surface, and especially to increase fatigue strength, fatigue corrosion resistance, resistance to cracking caused by stress corrosion, and the like.

The Calculation of Force Effects of a Conveyor Belt of the Pipe Conveyor to Forming Rollers by FEM

2015 ◽  
Vol 806 ◽  
pp. 181-186
Author(s):  
Gabriel Fedorko ◽  
Vieroslav Molnár ◽  
Peter Michalik ◽  
Nikoleta Husáková ◽  
Ivica Ristović ◽  
...  
Keyword(s):  
Finite Element ◽  
Finite Element Methods ◽  
Conveyor Belt ◽  
Calculation Model ◽  
Present Information ◽  
Conveyor Belts ◽  
Original Calculation

The paper interprets the calculation of the size of force effects created by the reason of the effect of balled conveyor belt of pipe conveyor to the guide rollers located in the ring idler stations. Knowing them is essential for the research of dynamic resistances by pipe conveyors operations. Examined force effects were determined by the help of finite element methods. The calculation was performed by the program Abaqus. Presented calculation is realized by original calculation model. The results of the calculation present information about action of the effect force of the balled conveyor belt to the guide rolls in the ring idler station. Results became a basis for determination of postulates for identification of dynamic resistances. Their knowledge is the key element for conveyor belts lifetime increase.

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