scholarly journals Regression method-based analysis of damage development in the core of steel cord conveyor belts

2018 ◽  
Vol 71 ◽  
pp. 00005 ◽  
Author(s):  
Agata Kirjanów ◽  
Robert Burduk
Keyword(s):  
Regression Model ◽  
Conveyor Belt ◽  
Quadratic Regression ◽  
Damage Development ◽  
Time Intervals ◽  
Non Invasive ◽  
Core Damage ◽  
Conveyor Belts ◽  
Steel Cord ◽  
Invasive Diagnostics

This paper is based on the data gathered with the use of the DiagBelt mobile system for non-invasive diagnostics of conveyor belts with steel-cord core. The object of the tests comprised a slow-burning ST 3150 conveyor belt, having width B-1200. The tests were performed on a belt conveyor operated in a Polish underground mine. Four tests were performed at different time intervals in order to monitor the development of conveyor belt core damage. The regression model was based on data gathered from several sections of the inspected belt and on three indicators of defects (the sum, the number and the surface of defects). The analysis was performed not only for the linear regression model, but also for the quadratic regression model, which seems to provide promising results.

scholarly journals Analysis of Strength Factors of Steel Cord Conveyor Belt Splices Based on the FEM

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Xianguo Li ◽  
Xinyu Long ◽  
Zhenqian Shen ◽  
Changyun Miao
Keyword(s):  
Carrying Capacity ◽  
Simulation Analysis ◽  
Conveyor Belt ◽  
Pullout Force ◽  
Operational Safety ◽  
Steel Cords ◽  
Conveyor Belts ◽  
Steel Cord ◽  
Simulation Results ◽  
Cord Length

Conveyor belt is an important element of the conveyor. The strength of the steel cord conveyor belt largely determines the carrying capacity, and it also has a great impact on operational safety. In this paper, the effect of different factors on the strength of the steel cord conveyor belt splices was studied. The FEM was used for simulation analysis, and the corresponding tensile experiments were carried out to verify. Steel cords of different lengths were simulated, and the simulation results agree well with the experimental results. On this basis, the steel cord length, steel cord diameter, rubber thickness, and different number of steel cords were investigated to study the effect on the pullout force of the steel cord conveyor belt splice. The numerical simulation results show that different steel cord diameters have more significant effect on the strength of the conveyor belt splice compared to rubber. The steel cord length and steel cord diameter impact on the steel cord conveyor belt is approximately linear. For the different number of the steel cords, the increase in the number of steel cords does not mean that the tension will increase by the same multiple, and the increase in pullout force is less than the increase in the number of steel cords. It provides guidance for the production of steel cord conveyor belts.

Effect of Strength Parameters and the Structure of Steel Cord Conveyor Belts on Belt Puncture Resistance

2014 ◽  
Vol 683 ◽  
pp. 119-124 ◽  
Author(s):  
Henryk Komander ◽  
Miroslaw Bajda ◽  
Grzegorz Komander ◽  
Gabriela Paszkowska
Keyword(s):  
Research Work ◽  
Impact Resistance ◽  
Conveyor Belt ◽  
Laboratory Research ◽  
Monitoring Methods ◽  
Strength Parameters ◽  
Puncture Resistance ◽  
Conveyor Belts ◽  
Steel Cord ◽  
The Impact

Conveyor belts transporting rock material are getting worn out mainly as a consequence of punctures and cuts caused by impacts of rock lumps in the belt loading zone. To enhance the operational durability of conveyor belts multidirectional actions intended to lower the dynamic load of belts, to increase the belt impact resistance and to monitor the belt condition are undertaken. Some significant improvements can be achieved by decreasing the material fall height, by implementation of transported material slides in transfer chutes and shock absorbing belt supports as well as by reducing rock lump sizes. To avoid extensive wear belt monitoring methods are being developed, so that belt defect numbers, sizes, and locations can be identified [1]. Implementation of monitoring prevents sudden belt tear and enables rational belt management by repairing and regenerating belts in the optimum time. Laboratory research programmes aim at identifying the relation of the dynamic stress and the belt fatigue strength [2,3]. Investigations of the effect of strength parameters and the structure of steel cord conveyor belts on their puncture resistance are carried out since many years [4,5,6,7]. High puncture resistance of a conveyor belt is one of the main assessment criteria of its operational durability. Research work on the impact of belt top cover thickness, cover rubber properties and type of belt crosswise reinforcements on the belt puncture resistance was undertaken in the Laboratory of Belt Transportation (LBT) of Wroclaw University of Technology [8].

scholarly journals Statistical Analysis and Neural Network in Detecting Steel Cord Failures in Conveyor Belts

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3081
Author(s):  
Dominika Olchówka ◽  
Aleksandra Rzeszowska ◽  
Leszek Jurdziak ◽  
Ryszard Błażej
Keyword(s):  
Neural Network ◽  
Statistical Analysis ◽  
Conveyor Belt ◽  
Data Sets ◽  
Two Dimensional ◽  
Two Dimensional Image ◽  
Second Stage ◽  
Conveyor Belts ◽  
Steel Cord

This paper presents the identification and classification of steel cord failures in the conveyor belt core based on an analysis of a two-dimensional image of magnetic field changes recorded using the Diagbelt system around scanned failures in the test belt. The obtained set of identified changes in images, obtained for numerous parameters settings of the device, were the base for statistical analysis. This analysis makes it possible to determine the Pearson’s linear correlation coefficient between the parameters being changed and the image of the failures. In the second stage of the research, artificial intelligence methods were applied to construct a multilayer neural network (MLP) and to teach it appropriate identification of damage. In both methods, the same data sets were used, which made it possible to compare methods.

scholarly journals Aspects of Selecting Appropriate Conveyor Belt Strength

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6018
Author(s):  
Dariusz Woźniak ◽  
Monika Hardygóra
Keyword(s):  
Tensile Strength ◽  
Theoretical Model ◽  
Elastic Properties ◽  
Conveyor Belt ◽  
Transition Section ◽  
Specimen Width ◽  
Conveyor Belts ◽  
Steel Cord ◽  
Actual Strength

Breaks in the so-called “continuous” (unspliced) belt sections, and not in the spliced areas, are infrequent but do happen in practice. This article presents some aspects, which may account for such breaks in conveyor belts. It indicates the so-called “sensitive points” in design, especially in the transition section of the conveyor belt and in identifying the actual strength of the belt. The presented results include the influence of the width of a belt specimen on the identified belt tensile strength. An increase in the specimen width entails a decrease in the belt strength. The research involved develops a universal theoretical model of the belt on a transition section of a troughed conveyor in which, in the case of steel-cord belts, the belt is composed of cords and layers of rubber, and in the case of a textile belt, of narrow strips. The article also describes geometrical forces in the transition section of the belt and an illustrative analysis of loads acting on the belt. Attention was also devoted to the influence of the belt type on the non-uniform character of loads in the transition section of the conveyor. A replacement of a conveyor belt with a belt having different elastic properties may increase the non-uniformity of belt loads in the transition section of the conveyor, even by 100%.

Regression Model Design for the Prediction of Pipe Conveyor Belt Contact Forces on Idler Rollers by Experimental Tests

2014 ◽  
Vol 611 ◽  
pp. 265-272 ◽  
Author(s):  
Vieroslav Molnar ◽  
Gabriel Fedorko ◽  
Beáta Stehlíková
Keyword(s):  
Regression Model ◽  
Experimental Tests ◽  
Conveyor Belt ◽  
Static Model ◽  
Sufficient Accuracy ◽  
Contact Forces ◽  
Model Design ◽  
Operational Conditions ◽  
Conveyor Belts ◽  
The Individual

In this paper there is presented a possibility to estimate, with a sufficient accuracy, contact forces on idler rollers of hexagonal idler housing in case of the pipe conveyor belt. This prediction is based on values of tension forces that are measured experimentally. The calculated regressive models are able to predict contact forces in individual positions of idler rollers with suitable correctness. The measurements of tension forces were carried out on a static model of a pipe conveyor. This static model is able to simulate real operational conditions of idler rollers, which guide the conveyor belt. In this way it is very simply possible to determine contact force values in the individual positions of idler rollers. Information about contact forces is useful for designers and for users of the conveyor belts, as well.

scholarly journals Statistical Analysis and Neural Network in Detecting Steel Cord Failures in Conveyor Belts

2021 ◽  
Author(s):  
Dominika Olchówka ◽  
Aleksandra Rzeszowska ◽  
Leszek Jurdziak ◽  
Ryszard Błażej
Keyword(s):  
Neural Network ◽  
Statistical Analysis ◽  
Conveyor Belt ◽  
Data Sets ◽  
Two Dimensional ◽  
Two Dimensional Image ◽  
Second Stage ◽  
Conveyor Belts ◽  
Steel Cord

The paper presents the identification and classification of steel cord failures in the conveyor belt core based on an analysis of a two-dimensional image of magnetic field changes recorded using the Diagbelt system around scanned failures in the test belt. The obtained set of identified changes in images obtained for numerous devices parameters settings were the base for statistical analysis. It makes it possible to determine the Pearson’s linear correlation coefficient between the parameters being changed and the image of the failures. In the second stage of the research, artificial intelligence methods were applied to construct a multilayer neural network (MLP) and to teach its appropriate identification of damage. In both methods were used the same data sets, which made it possible to compare methods.

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