scholarly journals Analysis of Transient Belt Stretch for Horizontal and Inclined Belt Conveyor System

2019 ◽  
Vol 4 (5) ◽  
pp. 1169-1179 ◽  
Author(s):  
Sanjay G. Sakharwade ◽  
Shubharata Nagpal
Keyword(s):  
Conveyor Belt ◽  
Belt Conveyor ◽  
Conveyor System ◽  
Structure Damage ◽  
Starting Condition ◽  
Maximum Value ◽  
Sudden Rise ◽  
Static Calculation ◽  
Standard Value ◽  
Belt System

Belt is costliest part of belt conveyor system. Sudden rise in belt tension within transient starting condition, results in belt failure and structure damage. It is difficult to measure these stresses by static calculation method and hence their presence might go undetected. Belt elongation is an evident quantity for these stresses. Dynamic belt stretch is formulated in terms of displacement response of conjugative belt units with respect to time. This paper presents analysis of the event and propagation of dynamic belt stretch for straight horizontal and straight inclined belt conveyor system. Dynamic behavior of belt system is investigated for starting condition of fully stacked conveyor belt. Belt conveyor system is considered as series of vibrating mass and its unit is assumed to be a viscoelastic segment. Equation of motion of belt unit is developed by Lagrange’s approach. Observed transient parameters are more vibrant in inclined belt than the horizontal belt system. Maximum value of dynamic belt stretch for horizontal belt systems founds 1.13% of total belt length and for inclined belt conveyor system, it is 1.16% of belt length. Both values are within range of standard value specified for fabric belt system.

Rotating Resistance of Belt Conveyor Idler Rolls

2015 ◽  
Vol 138 (4) ◽  
Author(s):  
Craig A. Wheeler
Keyword(s):  
Conveyor Belt ◽  
Operating Conditions ◽  
Viscous Drag ◽  
Resistance Force ◽  
Belt Conveyor ◽  
Conveyor System ◽  
Theoretical Methods ◽  
Primary Function ◽  
Lip Seals ◽  
Rolling Elements

The primary function of idler rolls in a belt conveyor system is to support the conveyor belt along its length. Predicting the cumulative resistance of idler rolls is vitally important in calculating the belt tension and therefore power requirements of a system, particularly on long overland conveyors where there are typically more than one thousand idler rolls per kilometer of belt. The rotating resistance occurs due to the friction of the rolling elements in the bearings, the viscous drag of the lubricant, and the friction of the contact lip seals. This paper provides theoretical methods to calculate each component of the rotating resistance and describes an apparatus designed to measure this resistance force under simulated operating conditions.

Parametric Finite Element Analysis on Key Parts of the Conveyor

2011 ◽  
Vol 101-102 ◽  
pp. 755-758 ◽  
Author(s):  
Chun Sheng Yang
Keyword(s):  
Mechanical Characteristics ◽  
Bulk Material ◽  
Viscoelastic Model ◽  
Conveyor Belt ◽  
Belt Conveyor ◽  
Element Analysis ◽  
Conveyor System ◽  
Belt Conveyors ◽  
Parametric Finite Element Analysis ◽  
Research Situation

Belt conveyors are the major equipments for bulk material transportation.This paper analyses the static and dynamic behaviours of the belt, and establishes the dynamic elastic modulus. By analyzing the characteristics of the Kelvin and Maxwell viscoelastic model, the former is selected as the conveyor belt model as it can more realistically reflect the mechanical characteristics of the conveyor system. This paper introduces the development of the belt conveyor, and analyzes the current research situation at home and abroad.

scholarly journals Establishing failure patterns of a Belt Conveyor System configuration

2021 ◽  
Vol 9 (10) ◽  
pp. 1030-1034
Author(s):  
Olutayo Opeyemi Ogunmilua
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
Mining Industry ◽  
Conveyor Belt ◽  
Belt Conveyor ◽  
Specific Knowledge ◽  
Conveyor System ◽  
Tree Analysis ◽  
Failure Patterns ◽  
System 2

Abstract: The conveyor belt is one of the most operational critical equipment’s in the mining industry, they are mostly used in the transportation of crushed materials from the crushing station to where there’ll be further processed. Due to the increasing complexity of belt conveyor systems, managing their integrity has become even more difficult, as they are now used across various industries, environments and carry materials of different weight variations, leaving them susceptible to failures (1). This paper provides an industry specific knowledge on belt conveyor systems, their respective components, and how they are configured using fault tree analysis to predict the different branches of event that can contribute to the failure of a belt conveyor system. The use of fault tree analysis sheds more light on how cascading failures can occur, where the failure of one component leads to the failure of the overall system. (2) Keywords: RCFA, FMEA Opex, FTA, Capex, Eca, Ttf, Ttr.

scholarly journals Failure Rate Prediction of Belt Conveyor Systems using 2-parameter Weibull distribution

2021 ◽  
Vol 9 (10) ◽  
pp. 1035-1039
Author(s):  
Olutayo Opeyemi Ogunmilua
Keyword(s):  
Failure Rate ◽  
Scale Parameter ◽  
Mining Industry ◽  
Conveyor Belt ◽  
Time To Failure ◽  
Belt Conveyor ◽  
System 2 ◽  
Accuracy Of Results ◽  
Component Failures ◽  
Belt System

Abstract: The conveyor belt is one of the most operational critical equipment’s in the mining industry, they are mostly used in the transportation of crushed materials from the crushing station to where there’ll be further processed. Due to the increasing complexity of belt conveyor systems, managing their integrity has become even more difficult, as they are now used across various industries, environments and carry materials of different weight variations, leaving them susceptible to failures (1). This paper provides an industry specific knowledge on how Weibull analysis can be used to predict the failure rate of a conveyor belt system, using parameters such as the time to failure (TTF), installation and failure dates, as determinant parameters for the predictions. Several Weibull failure distributions and functions have been used to establish accuracy of results and to create comparisons on the different ways in which risk, unreliability and availability are quantified, using calculated values such as the Shape and scale parameter. The paper utilizes real world case studies in the area of mining, which sheds light on key component failures and their cut sets within the conveyor belt system (2) Keywords: TTF, TTR, Threshold parameter, Repair date, Shape parameter, B10, B15, B20, Scale parameter, ECA, CDF, PDF

Research of Line-Friction Multi Driving Belt Conveyor

2013 ◽  
Vol 716 ◽  
pp. 638-642
Author(s):  
Yong Sheng Deng ◽  
Yong Zhang ◽  
Tao Zhou ◽  
Yong Sheng Zhou
Keyword(s):  
Driving Forces ◽  
Conveyor Belt ◽  
Transmission Mechanism ◽  
Belt Conveyor ◽  
Lower Intensity ◽  
Conveyor System ◽  
Driving Mode ◽  
Maximum Tension ◽  
Drive Motor ◽  
The Cost

On the basis of analyzing the line friction belt conveyor transmission mechanism of driving forces, the calculation method of driving force, as well as the design essentials of this conveyor system were pointed out. According to the conditons that the line friction drive motor power, the driving belt tensile strength and its minimum tension, the calculation formula of transmission belt length were obtained respectively. Meanwhile according to the maximum tension that supporting belt permitted, the position of the driving belt would be confirmed. Line friction driving mode may reduce the conveyor belt maximum tension, that is, the belt with a lower intensity levels could be selected, thereby the cost of conveying belt would be greatly reduced.

scholarly journals Building Intelligent Conveyor System using classification techniques in a logistics Industry

2019 ◽  
Vol 8 (6) ◽  
pp. 2116-2121
Keyword(s):  
Machine Learning ◽  
Conveyor Belt ◽  
Machine Learning Algorithms ◽  
Machine Learning Techniques ◽  
Test Results ◽  
Logistics Industry ◽  
Conveyor System ◽  
Learning Techniques ◽  
Operational Data ◽  
Belt System

Machine learning techniques plays an important role in knowledge discovery and assists humans in decision making. They help to detect patterns and predict the actions/outcome. In a complex industrial environment mode of operations of a machine depends on various internal and external parameters which are often done using expert judgement method which is not accurate and results in machine breakdown thereby resulting in unplanned outage. In this paper, we discussed and demonstrated how machine learning algorithms can help to handle conveyor systems autonomously in an optimum way without any human intervention. A conveyor belt system operational data is used to select the appropriate classification technique for the selected dataset. The details of the dataset collected, algorithms used and the test results are discussed in this paper.

Numerical Models of Rubber-Textile Composites of Conveyor Belts

2014 ◽  
Vol 683 ◽  
pp. 159-164 ◽  
Author(s):  
Tomáš Bouda ◽  
Peter Bocko ◽  
Tomáš Hájek
Keyword(s):  
Numerical Models ◽  
Large Strain ◽  
Conveyor Belt ◽  
Textile Composites ◽  
Point Of View ◽  
Belt Conveyor ◽  
Textile Composite ◽  
Conveyor System ◽  
Material Parameters ◽  
Conveyor Belts

Conveyor belt is the carrying medium of a belt conveyor system and it’s widely used by various industries. From a material modeling point of view it is a long fiber rubber-textile composite, where textile fibers bear the load. This contribution presents a procedure for material parameters calibration of rubber-textile composite, where large-strain phenomena need to be expected.

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