Author
Abbasi, Ahmad, Firoozi, Behnam, Şendur, Polat, Heidari, A. A., Tiwari, R.
Publication Date
2022-12
Publication Place
-
Springer
Subject
Constrained optimization, Fatigue life, Harris hawks optimization, Optimization, Swarm-intelligence algorithms, Tapered roller bearing
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
0177-0667
Record ID
40c68f28-3f70-460b-91ff-161d7ac6b66e
Library Location
Mechanical Engineering
Date
2022-12
Notes
Ozyegin University
Sample Text
Bearing is one of the most fundamental components of rotary machinery, and its fatigue life is a crucial factor in designing. The design optimization of tapered roller bearing (TRB) is a complex design problem because various arrays of designing parameters and functional requirements should be fulfilled. Since there are many design variables and nonlinear constraints, presenting an optimal design of TRBs poses some challenges for metaheuristic algorithms. The Harris hawks optimization (HHO) algorithm is a robust nature-inspired method with unique exploitation and exploration phases due to its time-varying structure. However, this metaheuristic algorithm may still converge to local optima for more challenging problems such as the design of TRBs. Therefore, this study aims to improve the accuracy and efficiency of the shortcomings of this algorithm. The performance of the proposed algorithm is first evaluated for the TRB optimization problem. The TRB optimization design has nine design variables and 26 constraints because of geometrical dimensions and strength conditions. The productivity of the proposed method is compared with diverse metaheuristic algorithms in the literature. The results demonstrate the significant development of dynamic load capacity in comparison to the standard value. Furthermore, the enhanced version of the HHO algorithm presented in this study is benchmarked with various well-known engineering problems. For supplementary materials regarding algorithms in this research, readers can refer to https://aliasgharheidari.com.
DOI
10.1007/s00366-021-01442-3
Cilt
38
