KORKMAZ, Furkan ;DERELİ, Serkan ;KARAYEL, Durmuş ;KOLİP, Ahmet . The Use of Heuristic Optimization Techniques on Cycloid Reducer Design: A Comparative Study. Articles in Press, [S.l.], v. 0, n.0, p. , may 2024. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/article/the-use-of-heuristic-optimization-techniques-on-cycloid-reducer-design-a-comparative-study/>. Date accessed: 18 jul. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2024.921.
Korkmaz, F., DERELİ, S., KARAYEL, D., & KOLİP, A. (0). The Use of Heuristic Optimization Techniques on Cycloid Reducer Design: A Comparative Study. Articles in Press, 0(0), . doi:http://dx.doi.org/10.5545/sv-jme.2024.921
@article{sv-jmesv-jme.2024.921,
author = {Furkan Korkmaz and Serkan DERELİ and Durmuş KARAYEL and Ahmet KOLİP},
title = {The Use of Heuristic Optimization Techniques on Cycloid Reducer Design: A Comparative Study},
journal = {Articles in Press},
volume = {0},
number = {0},
year = {0},
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 optimized the weight of the cycloid reducer based on the values of some parameters. The algorithms have been applied separately to the design problem and their performances have been compared. Initially, a basic design has been performed using conventional approaches. Constraint conditions have been defined based on geometric features and the essential component of the reducer, the cycloidal gear, then the existing basic design has been optimized in terms of size and weight. Finally, finite element analysis has been conducted to validate the obtained parameter values and to control stresses occurring in areas between gaps in the cycloid gear profile. It has been determined that PSO reduced the weight of the basic design by 38%, whereas QPSO reduced it by 48%. Both designs obtained from optimization have been found to be safe in the finite element analysis performed to verify the obtained design parameters and to control the stresses in the regions between the gaps. 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 = {}, doi = {10.5545/sv-jme.2024.921},
url = {https://www.sv-jme.eu/article/the-use-of-heuristic-optimization-techniques-on-cycloid-reducer-design-a-comparative-study/}
}
Korkmaz, F.,DERELİ, S.,KARAYEL, D.,KOLİP, A. 0 May 0. The Use of Heuristic Optimization Techniques on Cycloid Reducer Design: A Comparative Study. Articles in Press. [Online] 0:0
%A Korkmaz, Furkan %A DERELİ, Serkan %A KARAYEL, Durmuş %A KOLİP, Ahmet %D 0 %T The Use of Heuristic Optimization Techniques on Cycloid Reducer Design: A Comparative Study %B 0 %9 cycloid reducer; finite element analysis; optimization; heuristic algorithm; %! The Use of Heuristic Optimization Techniques on 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 optimized the weight of the cycloid reducer based on the values of some parameters. The algorithms have been applied separately to the design problem and their performances have been compared. Initially, a basic design has been performed using conventional approaches. Constraint conditions have been defined based on geometric features and the essential component of the reducer, the cycloidal gear, then the existing basic design has been optimized in terms of size and weight. Finally, finite element analysis has been conducted to validate the obtained parameter values and to control stresses occurring in areas between gaps in the cycloid gear profile. It has been determined that PSO reduced the weight of the basic design by 38%, whereas QPSO reduced it by 48%. Both designs obtained from optimization have been found to be safe in the finite element analysis performed to verify the obtained design parameters and to control the stresses in the regions between the gaps. 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/article/the-use-of-heuristic-optimization-techniques-on-cycloid-reducer-design-a-comparative-study/ %0 Journal Article %R 10.5545/sv-jme.2024.921 %& %P 1 %J Articles in Press %V 0 %N 0 %@ 0039-2480 %8 2024-05-22 %7 2024-05-22
Korkmaz, Furkan, Serkan DERELİ, Durmuş KARAYEL, & Ahmet KOLİP. "The Use of Heuristic Optimization Techniques on Cycloid Reducer Design: A Comparative Study." Articles in Press [Online], 0.0 (0): . Web. 18 Jul. 2024
TY - JOUR AU - Korkmaz, Furkan AU - DERELİ, Serkan AU - KARAYEL, Durmuş AU - KOLİP, Ahmet PY - 0 TI - The Use of Heuristic Optimization Techniques on Cycloid Reducer Design: A Comparative Study JF - Articles in Press 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 optimized the weight of the cycloid reducer based on the values of some parameters. The algorithms have been applied separately to the design problem and their performances have been compared. Initially, a basic design has been performed using conventional approaches. Constraint conditions have been defined based on geometric features and the essential component of the reducer, the cycloidal gear, then the existing basic design has been optimized in terms of size and weight. Finally, finite element analysis has been conducted to validate the obtained parameter values and to control stresses occurring in areas between gaps in the cycloid gear profile. It has been determined that PSO reduced the weight of the basic design by 38%, whereas QPSO reduced it by 48%. Both designs obtained from optimization have been found to be safe in the finite element analysis performed to verify the obtained design parameters and to control the stresses in the regions between the gaps. 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/article/the-use-of-heuristic-optimization-techniques-on-cycloid-reducer-design-a-comparative-study/
@article{{sv-jme}{sv-jme.2024.921},
author = {Korkmaz, F., DERELİ, S., KARAYEL, D., KOLİP, A.},
title = {The Use of Heuristic Optimization Techniques on Cycloid Reducer Design: A Comparative Study},
journal = {Articles in Press},
volume = {0},
number = {0},
year = {0},
doi = {10.5545/sv-jme.2024.921},
url = {https://www.sv-jme.eu/article/the-use-of-heuristic-optimization-techniques-on-cycloid-reducer-design-a-comparative-study/}
}
TY - JOUR AU - Korkmaz, Furkan AU - DERELİ, Serkan AU - KARAYEL, Durmuş AU - KOLİP, Ahmet PY - 2024/05/22 TI - The Use of Heuristic Optimization Techniques on Cycloid Reducer Design: A Comparative Study JF - Articles in Press; Vol 0, No 0 (0): Articles in Press 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 optimized the weight of the cycloid reducer based on the values of some parameters. The algorithms have been applied separately to the design problem and their performances have been compared. Initially, a basic design has been performed using conventional approaches. Constraint conditions have been defined based on geometric features and the essential component of the reducer, the cycloidal gear, then the existing basic design has been optimized in terms of size and weight. Finally, finite element analysis has been conducted to validate the obtained parameter values and to control stresses occurring in areas between gaps in the cycloid gear profile. It has been determined that PSO reduced the weight of the basic design by 38%, whereas QPSO reduced it by 48%. Both designs obtained from optimization have been found to be safe in the finite element analysis performed to verify the obtained design parameters and to control the stresses in the regions between the gaps. 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/article/the-use-of-heuristic-optimization-techniques-on-cycloid-reducer-design-a-comparative-study/
Korkmaz, Furkan, DERELİ, Serkan, KARAYEL, Durmuş, AND KOLİP, Ahmet. "The Use of Heuristic Optimization Techniques on Cycloid Reducer Design: A Comparative Study" Articles in Press [Online], Volume 0 Number 0 (22 May 2024)
Articles in Press
In this study, heuristic optimization algorithms such as Particle Swarm Optimization (PSO) and Quantum Particle Swarm Optimization (QPSO) have been used to optimized the weight of the cycloid reducer based on the values of some parameters. The algorithms have been applied separately to the design problem and their performances have been compared. Initially, a basic design has been performed using conventional approaches. Constraint conditions have been defined based on geometric features and the essential component of the reducer, the cycloidal gear, then the existing basic design has been optimized in terms of size and weight. Finally, finite element analysis has been conducted to validate the obtained parameter values and to control stresses occurring in areas between gaps in the cycloid gear profile. It has been determined that PSO reduced the weight of the basic design by 38%, whereas QPSO reduced it by 48%. Both designs obtained from optimization have been found to be safe in the finite element analysis performed to verify the obtained design parameters and to control the stresses in the regions between the gaps. 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.