Authors: Abderazek, Hammoudi
Laouissi, Aissa
Nouioua, Mourad
Atanasovska, Ivana 
Affiliations: Mechanics 
Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Recent swarm intelligence techniques for optimal spur gear design
Journal: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
Issue Date: 2025
Rank: ~M23
ISSN: 0954-4062
DOI: 10.1177/09544062251317105
Abstract: 
The gear tooth profile significantly influences the key operating parameters of gear pairs. By appropriately modifying the tooth profile, the vibration and noise of the gear system can be greatly reduced. In this study, four advanced optimization techniques are applied to determine the optimal geometric parameters of a cylindrical spur gear. The optimization problem is formulated with three mixed design variables: the profile shift coefficients and the normal pressure angle. The three objectives include minimizing the maximum specific sliding, sliding velocity, and nominal stresses at the pinion tooth root. Kinematic and geometric constraints, such as contact ratio, tooth thickness, and interference, are also considered to ensure an optimal spur gear design. The simulation results demonstrate that the algorithms employed are highly competitive for precision gear design optimization.
Publisher: SAGE
Project: A part of the research has beensupported by the Ministry of Education, Science and Technological Developmentof the Republic of Serbia, Grant number: 451-03-68/2022-14/20029

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