Optimization of Helical Gear Design Using Genetic Algorithm for Center Distance

Ram Gopal; Rajiv Suman; R. S. Jadoun

doi:https://doi.org/10.51976/ijari.431616

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Optimization of Helical Gear Design Using Genetic Algorithm for Center Distance

Ram Gopal, Rajiv Suman, R. S. Jadoun

Vol 4 , Issue 3 , July - September 2016 | Pages: 91-98 | Research Paper

https://doi.org/10.51976/ijari.431616

Received: April 02, 2016 | Revised: May 20, 2016 | Accepted: May 28, 2016 | Published Online: October 15, 2016

Author Details ( * ) denotes Corresponding author

1. Ram Gopal, Department of Industrial & Production Engineering, Pantnagar, Uttarakhand, India (raje.suman@gmail.com)

2. * Rajiv Suman, Department of Industrial & Production Engineering,, GB Pant University of Agriculture & Technology, Pantnagar, Uttarakhand, India (raje.suman@gmail.com)

3. R. S. Jadoun, Department of Industrial & Production Engineering, GB Pant University of Agriculture & Technology, Pantnagar, Uttarakhand, India

The helical gears are employed to transmit motion between parallel shafts. These gears can also be used for transmitting motion between non-parallel, non-intersecting shafts. Helical gears are similar to spur gears except that the gears teeth are at an angle with the axis of the gears. In a genetic algorithm, populations of individuals, which are potential solutions to the optimization problem, undergo a sequence of unary and higher order transformations (also known as mutations and crossovers respectively). Genetic algorithms are being widely used for optimization, search and neural network synthesis. A lot of work has been conducted using genetic algorithm for different engineering problems related to scheduling and process planning in industrial engineering, network optimization in computer engineering. The work dissertation deals with the optimization of helical gear sets using genetic algorithm. Attention is focused on reducing the center to center distance of gear set subjected to constraints on bending stress, contact stress and involute interference.

Keywords

Genetic Algorithm; Gear ratio; Gear design; C-Programming

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