scholarly journals Design of the Power of an Electric Lifting Motor for a Single Girder Bridge Crane with a 500 Kg Load Capacity

2021 ◽  
Vol 17 (2) ◽  
pp. 23-29
Author(s):  
Denis Molnár ◽  
Miroslav Blatnický ◽  
Ján Dižo
Keyword(s):  
Material Handling ◽  
Induction Motors ◽  
Load Capacity ◽  
Bridge Crane ◽  
Overhead Crane ◽  
Uniform Load ◽  
Microsoft Excel ◽  
Three Phase ◽  
Static Power ◽  
Girder Bridge

Abstract An electric hoist could be considered as the most important component of an electric overhead crane. Electric hoists are material handling equipment used for lifting, lowering, and transporting materials and products. They are powered by an electric motor and have a controller to adjust the lifting parameters. Three-phase induction motors are most often used as electric lifting motors for bridge cranes. This paper concerns the design of the power of the electric lifting motor for an electric hoist of the single girder bridge crane with the 500 kg load capacity. It represents the design of the electric lifting motor according to a commonly used scheme for the design of electric motors, from the power at a uniform load to the relative load of the motor. Based on the input data, the necessary motor parameters are calculated using Microsoft Excel. The main parameter is the static power of the motor, the calculated value of which is 0.823 kW. Based on the value of this power, a three-phase induction motor 1.1 kW, MS90-4 is selected. This electric lifting motor is suitable for the above-mentioned bridge crane, as it meets the condition of torque overload.

scholarly journals DESIGN AND STRENGTH ANALYSIS OF A CRANE HOOK WITH A 500 KG LIFTING CAPACITY

2021 ◽  
Vol 16 (2) ◽  
Author(s):  
Denis Molnár ◽  
Miroslav Blatnický ◽  
Ján Dižo
Keyword(s):  
Load Capacity ◽  
Analytical Calculation ◽  
Fem Analysis ◽  
Strength Analysis ◽  
Bridge Crane ◽  
Ansys Software ◽  
Total Stress ◽  
Lifting Capacity ◽  
Girder Bridge ◽  
Sufficient Strength

A bridge crane is a type of crane that is designed for lifting / lowering and transferring material in the horizontal direction and is used mainly in production halls, warehouses and transship points. A part of the lifting mechanism of the bridge crane is a crane hook on which the load is suspended. Sufficient strength is required from the crane hook in order to be able to withstand high loads relatively well. The most stressed part of the crane hook is the curved inner surface. This surface is considered critical in terms of strength. The goal of this paper is to select a suitable crane hook for a single girder bridge crane with a load capacity of 500 kg and a strength analysis of the selected crane hook. Strength analysis is performed by two methods, first is based on analytical calculation and second is based on finite element method (FEM) performed in Ansys software. The comparison of the obtained total stresses from both methods is the part of the analysis. From the results of the FEM analysis and analytical calculation it can be stated that the selected crane hook RSN 05 P - DIN 15401 with a load capacity of 500 kg is suitable for the above-mentioned bridge crane. It can also be concluded that the total stress determined by the analytical calculation is lower by 9.8 % compared to the stress obtained from the Ansys software.

A New Acoustic Emission-based Approach for Supply Disturbances Evaluation in Three-Phase Induction Motors

2020 ◽  
pp. 1-1
Author(s):  
Guilherme Beraldi Lucas ◽  
Bruno Albuquerque De Castro ◽  
Marco Aurelio Rocha ◽  
Andre Luiz Andreoli
Keyword(s):  
Acoustic Emission ◽  
Induction Motors ◽  
Three Phase

scholarly journals Mutual Information and Meta-Heuristic Classifiers Applied to Bearing Fault Diagnosis in Three-Phase Induction Motors

2020 ◽  
Vol 11 (1) ◽  
pp. 314
Author(s):  
Gustavo Henrique Bazan ◽  
Alessandro Goedtel ◽  
Marcelo Favoretto Castoldi ◽  
Wagner Fontes Godoy ◽  
Oscar Duque-Perez ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Mutual Information ◽  
Induction Motors ◽  
Operating Conditions ◽  
Industrial Systems ◽  
Bearing Fault Diagnosis ◽  
Bee Colony ◽  
Three Phase ◽  
C4.5 Decision Tree ◽  
The Time Domain

Three-phase induction motors are extensively used in industrial processes due to their robustness, adaptability to different operating conditions, and low operation and maintenance costs. Induction motor fault diagnosis has received special attention from industry since it can reduce process losses and ensure the reliable operation of industrial systems. Therefore, this paper presents a study on the use of meta-heuristic tools in the diagnosis of bearing failures in induction motors. The extraction of the fault characteristics is performed based on mutual information measurements between the stator current signals in the time domain. Then, the Artificial Bee Colony algorithm is used to select the relevant mutual information values and optimize the pattern classifier input data. To evaluate the classification accuracy under various levels of failure severity, the performance of two different pattern classifiers was compared: The C4.5 decision tree and the multi-layer artificial perceptron neural networks. The experimental results confirm the effectiveness of the proposed approach.

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