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Performance Evaluation of Particle Swarm Optimization Algorithm for Optimal Design of Belt Pulley System

  • Pandurengan Sabarinath
  • M. R. Thansekhar
  • R. Saravanan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8297)

Abstract

The present scenario in the design of machine elements includes the minimization of weight of the individual components in order to reduce the overall weight of the machine elements. It saves both cost and energy involved. Belts are used to transmit power from one shaft to another by means of pulleys which rotate at the same speed or different speeds. Generally, the weight of pulley acts on the shaft and bearings. In the present study, minimization of weight of a belt pulley system has been investigated. Particle swarm optimization algorithm (PSO) is used to solve the above mentioned problem subjected to a set of practical constraints and it is compared with the results obtained by Differential Evolution Algorithm (DEA). Our results indicate that PSO approach handles our problem efficiently in terms of precision and convergence and it outperforms the results presented in the literature.

Keywords

Optimal Design Belt pulley system Particle swarm optimization algorithm 

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Pandurengan Sabarinath
    • 1
  • M. R. Thansekhar
    • 1
  • R. Saravanan
    • 2
  1. 1.K.L.N College of EngineeringIndia
  2. 2.JCT College of Engineering and TechnologyCoimbatoreIndia

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