Bevel Gear Optimization Using Heuristic Ant Colony Optimization Approach
Journal Title: PARIPEX-Indian Journal of Research - Year 2015, Vol 4, Issue 6
Abstract
In this paper, ant colony algorithm has been used for the classical bevel gear optimization problem by satisfying design, manufacturing and operational constraints in a non-lubricated condition. Instead of applying the conventional gear design approach, the proposed ant colony algorithm employs a novel method inspired from ant’s behavior to identify the best suitable parameters which can reduce the size, thickness, weight and increase the efficiency of the gear pair without affecting the performance in less computational time. Besides, the gear had also been modeled and analyzed in Ansys software to validate the developed algorithm. The proposed algorithm had been simulated for various instances and obtained competitive results in a non-lubricated environment.
Authors and Affiliations
S. K. Rajesh Kanna, A. D. Jaisree
Keywords
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