OPTIMIZATION OF SPUR GEAR DESIGN FOR MINIMUM OIL CHURNING LOSS BASED ON GENETIC ALGORITHM

Authors

  • Janak K. Sangani -
  • Dr. K. D. Maniya -

Keywords:

Genetic Algorithm, Minimum oil churning loss, Empirical models, Spur gear

Abstract

This paper presents work on the optimization method for spur gear design to minimize oil churning losses. Empirical model is
used to study the oil churning losses; such model is validated using data available in literature. The oil churning losses appear if the
rotating components are partially submerged in an oil bath.In this paper, Gear dimension such as module, pitch diameter, face width and oil
churning power loss are optimized and compared with the experimental data in literature. The main objective function is to minimize oil
churning power loss and constraints are minimum centre distance, minimum gear modulus and minimum number of teeth, surface
compressive stress and bending stress. A gear transmission problem is one of the most complex optimization problems because of
relationship between different variables. Therefore researchers are now going to use Non-classical Techniques. Genetic Algorithm is one of
such techniques.

Published

2022-04-27

How to Cite

Janak K. Sangani, & Dr. K. D. Maniya. (2022). OPTIMIZATION OF SPUR GEAR DESIGN FOR MINIMUM OIL CHURNING LOSS BASED ON GENETIC ALGORITHM. International Journal of Advance Engineering and Research Development (IJAERD), 2(13), -. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/5670