KORKMAZ, Furkan ;DERELI, Serkan ;KARAYEL, Durmuş ;KOLIP, Ahmet . The Use of Heuristic Optimization Techniques on RV Cycloid Reducer Design: A Comparative Study. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 70, n.7-8, p. 392-402, may 2024. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/sl/article/the-use-of-heuristic-optimization-techniques-on-cycloid-reducer-design-a-comparative-study/>. Date accessed: 19 nov. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2024.921.
Korkmaz, F., Dereli, S., Karayel, D., & Kolip, A. (2024). The Use of Heuristic Optimization Techniques on RV Cycloid Reducer Design: A Comparative Study. Strojniški vestnik - Journal of Mechanical Engineering, 70(7-8), 392-402. doi:http://dx.doi.org/10.5545/sv-jme.2024.921
@article{sv-jmesv-jme.2024.921,
author = {Furkan Korkmaz and Serkan Dereli and Durmuş Karayel and Ahmet Kolip},
title = {The Use of Heuristic Optimization Techniques on RV Cycloid Reducer Design: A Comparative Study},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {70},
number = {7-8},
year = {2024},
keywords = {cycloid reducer; finite element analysis; optimization; heuristic algorithm; },
abstract = {In this study, heuristic optimization algorithms such as particle swarm optimization (PSO) and quantum particle swarm optimization (QPSO) have been used to optimize the weight of the cycloid reducer based on the values of some parameters. The algorithms were applied separately to the design problem, and their performances were compared. Initially, a basic design was performed using conventional approaches. Constraint conditions have been defined based on geometric features and the essential component of the reducer, the cycloidal gear, and then the existing basic design has been optimized in terms of size and weight. Finally, finite element analysis was conducted to validate the obtained parameter values and control the stresses in the contact areas of the cycloid gear profile. It has been determined that PSO reduced the weight of the basic design by 33.3 %, whereas QPSO reduced it by 33.8 %. Moreover, the results of the finite element analysis showed that the design obtained according to both optimization methods was safe in terms of the resulting stresses. Consequently, it has been demonstrated that the selected design parameters and constraint equations have been sufficient and that the basic designs could be enhanced using intuitive optimization methods.},
issn = {0039-2480}, pages = {392-402}, doi = {10.5545/sv-jme.2024.921},
url = {https://www.sv-jme.eu/sl/article/the-use-of-heuristic-optimization-techniques-on-cycloid-reducer-design-a-comparative-study/}
}
Korkmaz, F.,Dereli, S.,Karayel, D.,Kolip, A. 2024 May 70. The Use of Heuristic Optimization Techniques on RV Cycloid Reducer Design: A Comparative Study. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 70:7-8
%A Korkmaz, Furkan %A Dereli, Serkan %A Karayel, Durmuş %A Kolip, Ahmet %D 2024 %T The Use of Heuristic Optimization Techniques on RV Cycloid Reducer Design: A Comparative Study %B 2024 %9 cycloid reducer; finite element analysis; optimization; heuristic algorithm; %! The Use of Heuristic Optimization Techniques on RV Cycloid Reducer Design: A Comparative Study %K cycloid reducer; finite element analysis; optimization; heuristic algorithm; %X In this study, heuristic optimization algorithms such as particle swarm optimization (PSO) and quantum particle swarm optimization (QPSO) have been used to optimize the weight of the cycloid reducer based on the values of some parameters. The algorithms were applied separately to the design problem, and their performances were compared. Initially, a basic design was performed using conventional approaches. Constraint conditions have been defined based on geometric features and the essential component of the reducer, the cycloidal gear, and then the existing basic design has been optimized in terms of size and weight. Finally, finite element analysis was conducted to validate the obtained parameter values and control the stresses in the contact areas of the cycloid gear profile. It has been determined that PSO reduced the weight of the basic design by 33.3 %, whereas QPSO reduced it by 33.8 %. Moreover, the results of the finite element analysis showed that the design obtained according to both optimization methods was safe in terms of the resulting stresses. Consequently, it has been demonstrated that the selected design parameters and constraint equations have been sufficient and that the basic designs could be enhanced using intuitive optimization methods. %U https://www.sv-jme.eu/sl/article/the-use-of-heuristic-optimization-techniques-on-cycloid-reducer-design-a-comparative-study/ %0 Journal Article %R 10.5545/sv-jme.2024.921 %& 392 %P 11 %J Strojniški vestnik - Journal of Mechanical Engineering %V 70 %N 7-8 %@ 0039-2480 %8 2024-05-22 %7 2024-05-22
Korkmaz, Furkan, Serkan Dereli, Durmuş Karayel, & Ahmet Kolip. "The Use of Heuristic Optimization Techniques on RV Cycloid Reducer Design: A Comparative Study." Strojniški vestnik - Journal of Mechanical Engineering [Online], 70.7-8 (2024): 392-402. Web. 19 Nov. 2024
TY - JOUR AU - Korkmaz, Furkan AU - Dereli, Serkan AU - Karayel, Durmuş AU - Kolip, Ahmet PY - 2024 TI - The Use of Heuristic Optimization Techniques on RV Cycloid Reducer Design: A Comparative Study JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2024.921 KW - cycloid reducer; finite element analysis; optimization; heuristic algorithm; N2 - In this study, heuristic optimization algorithms such as particle swarm optimization (PSO) and quantum particle swarm optimization (QPSO) have been used to optimize the weight of the cycloid reducer based on the values of some parameters. The algorithms were applied separately to the design problem, and their performances were compared. Initially, a basic design was performed using conventional approaches. Constraint conditions have been defined based on geometric features and the essential component of the reducer, the cycloidal gear, and then the existing basic design has been optimized in terms of size and weight. Finally, finite element analysis was conducted to validate the obtained parameter values and control the stresses in the contact areas of the cycloid gear profile. It has been determined that PSO reduced the weight of the basic design by 33.3 %, whereas QPSO reduced it by 33.8 %. Moreover, the results of the finite element analysis showed that the design obtained according to both optimization methods was safe in terms of the resulting stresses. Consequently, it has been demonstrated that the selected design parameters and constraint equations have been sufficient and that the basic designs could be enhanced using intuitive optimization methods. UR - https://www.sv-jme.eu/sl/article/the-use-of-heuristic-optimization-techniques-on-cycloid-reducer-design-a-comparative-study/
@article{{sv-jme}{sv-jme.2024.921},
author = {Korkmaz, F., Dereli, S., Karayel, D., Kolip, A.},
title = {The Use of Heuristic Optimization Techniques on RV Cycloid Reducer Design: A Comparative Study},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {70},
number = {7-8},
year = {2024},
doi = {10.5545/sv-jme.2024.921},
url = {https://www.sv-jme.eu/sl/article/the-use-of-heuristic-optimization-techniques-on-cycloid-reducer-design-a-comparative-study/}
}
TY - JOUR AU - Korkmaz, Furkan AU - Dereli, Serkan AU - Karayel, Durmuş AU - Kolip, Ahmet PY - 2024/05/22 TI - The Use of Heuristic Optimization Techniques on RV Cycloid Reducer Design: A Comparative Study JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 70, No 7-8 (2024): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2024.921 KW - cycloid reducer, finite element analysis, optimization, heuristic algorithm, N2 - In this study, heuristic optimization algorithms such as particle swarm optimization (PSO) and quantum particle swarm optimization (QPSO) have been used to optimize the weight of the cycloid reducer based on the values of some parameters. The algorithms were applied separately to the design problem, and their performances were compared. Initially, a basic design was performed using conventional approaches. Constraint conditions have been defined based on geometric features and the essential component of the reducer, the cycloidal gear, and then the existing basic design has been optimized in terms of size and weight. Finally, finite element analysis was conducted to validate the obtained parameter values and control the stresses in the contact areas of the cycloid gear profile. It has been determined that PSO reduced the weight of the basic design by 33.3 %, whereas QPSO reduced it by 33.8 %. Moreover, the results of the finite element analysis showed that the design obtained according to both optimization methods was safe in terms of the resulting stresses. Consequently, it has been demonstrated that the selected design parameters and constraint equations have been sufficient and that the basic designs could be enhanced using intuitive optimization methods. UR - https://www.sv-jme.eu/sl/article/the-use-of-heuristic-optimization-techniques-on-cycloid-reducer-design-a-comparative-study/
Korkmaz, Furkan, Dereli, Serkan, Karayel, Durmuş, AND Kolip, Ahmet. "The Use of Heuristic Optimization Techniques on RV Cycloid Reducer Design: A Comparative Study" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 70 Number 7-8 (22 May 2024)
Strojniški vestnik - Journal of Mechanical Engineering 70(2024)7-8, 392-402
© The Authors 2024. CC BY 4.0 Int.
In this study, heuristic optimization algorithms such as particle swarm optimization (PSO) and quantum particle swarm optimization (QPSO) have been used to optimize the weight of the cycloid reducer based on the values of some parameters. The algorithms were applied separately to the design problem, and their performances were compared. Initially, a basic design was performed using conventional approaches. Constraint conditions have been defined based on geometric features and the essential component of the reducer, the cycloidal gear, and then the existing basic design has been optimized in terms of size and weight. Finally, finite element analysis was conducted to validate the obtained parameter values and control the stresses in the contact areas of the cycloid gear profile. It has been determined that PSO reduced the weight of the basic design by 33.3 %, whereas QPSO reduced it by 33.8 %. Moreover, the results of the finite element analysis showed that the design obtained according to both optimization methods was safe in terms of the resulting stresses. Consequently, it has been demonstrated that the selected design parameters and constraint equations have been sufficient and that the basic designs could be enhanced using intuitive optimization methods.