Abstract
In this research paper design and analysis of wire ropes used in elevator have been presented. The main objective of this study is to find the best practices on handling wire ropes for safety and to reduce the downtime of elevators due to wire rope failures. Design calculations have been done to calculate the apt dimensions and design is constructed on Auto Desk inventor software and the analysis have been performed using Ansys. Two configurations of the wire ropes have been studied and from this result it can be concluded that the design of wire rope is possible to relieve mechanical handling and to improve the design of wire ropes making it more durable by possible inclusion of new materials which in turn increases the efficiency and life of wire ropes without compromising safety.
Highlights
Wire ropes are used for lifting and hoisting in cranes and elevators
The two-wire rope model is constructed, and these wire ropes were tested against static structural analysis by applying a load of 45 kN
The analysis is performed by taking a small cross section of the wire rope considering one end as fixed and negative load is applied on the other end in the opposite directions
Summary
Wire ropes are used for lifting and hoisting in cranes and elevators. They are commonly used for hoisting in elevator cars. The different types of wire ropes have been designed and tested for various applications to carry a tensile load. Wire ropes are structural elements commonly used in industries and civil engineering domain. They consist of several steel wires twisted on the central core to improve the axial strength, stiffness and bending flexibility which in turn increases the mechanical properties. Wire ropes are usually subjected to varying axial tensile loads or torsional moments resulting in unstable performances [4]. In this context wire ropes are usually analysed for stress and strain to study its mechanical strength [5] and research on this wire ropes are significant
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More From: International Journal for Simulation and Multidisciplinary Design Optimization
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