Dynamic Balancing of Four-bar Mechanism Using Genetic Algorithm

Authors

  • Basayya K Belleri Professor, Department of Mechanical Engineering, Tontadarya College of Engineering, Gadag, Karnataka, India
  • Sharavankumar B. Kerur Professor, Department of Mechanical Engineering, Basaveshwar Engineering College, Bagalkot, Karnataka, India
  • Dayanand M. Goudar Professor, Department of Mechanical Engineering, Tontadarya College of Engineering, Gadag, Karnataka, India

DOI:

https://doi.org/10.37591/tmd.v8i2.6042

Keywords:

Mechanism, dynamic balancing, genetic algorithm, optimization, shaking force, shaking moments

Abstract

This study is to optimize the design parameters of planar four-bar mechanism using MINI TAB and Genetic Algorithm approach by minimizing shaking force and shaking moments. Using MATLAB, the position, velocity, acceleration, and forces of each link was determined. A set of weighting factors was selected according to the contribution of x and y components of the forces and moments. The regression equation generated by MINI TAB was used as a Fitness function in the Genetic Algorithm to optimize the design parameters. The results of optimum values were compared with the original values.

References

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Published

2021-12-31

Issue

Vol. 8 No. 2 (2021)

Section

Articles

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