An Optimal Design Method of Hydrostatic Turntable Based on FPSO Algorithm

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ZHAO, Yongsheng ;LUO, Jiaqing ;LI, Ying ;ZHANG, Tao ;MA, Honglie .
An Optimal Design Method of Hydrostatic Turntable Based on FPSO Algorithm. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 71, n.11-12, p. 402-409, september 2025. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/an-optimal-design-method-of-hydrostatic-turntable-based-on-fpso-algorithm/>. Date accessed: 12 dec. 2025. 
doi:http://dx.doi.org/10.5545/sv-jme.2025.1366.
Zhao, Y., Luo, J., Li, Y., Zhang, T., & Ma, H.
(2025).
An Optimal Design Method of Hydrostatic Turntable Based on FPSO Algorithm.
Strojniški vestnik - Journal of Mechanical Engineering, 71(11-12), 402-409.
doi:http://dx.doi.org/10.5545/sv-jme.2025.1366
@article{sv-jmesv-jme.2025.1366,
	author = {Yongsheng  Zhao and Jiaqing  Luo and Ying  Li and Tao  Zhang and Honglie  Ma},
	title = {An Optimal Design Method of Hydrostatic Turntable Based on FPSO Algorithm},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {71},
	number = {11-12},
	year = {2025},
	keywords = {hydrostatic turntable; finite difference method; Reynolds equation; fuzzy particle swarm optimization algorithm; performance optimization; },
	abstract = {The load capacity of hydrostatic turntables is predominantly governed by the design of oil pads. Optimizing oil pad parameters can substantially enhance turntable performance while reducing power consumption. This study introduces a fuzzy particle swarm optimization (FPSO) algorithm that incorporates compression factors into the particle swarm optimization (PSO) framework to optimize the parameters of oil pads. Reduce its power consumption by about 40 %, while the error between experimental and theoretical values is only 8 %. Compared with traditional PSO algorithms, FPSO converges more reliably in multiparametric environments.},
	issn = {0039-2480},	pages = {402-409},	doi = {10.5545/sv-jme.2025.1366},
	url = {https://www.sv-jme.eu/article/an-optimal-design-method-of-hydrostatic-turntable-based-on-fpso-algorithm/}
}
Zhao, Y.,Luo, J.,Li, Y.,Zhang, T.,Ma, H.
2025 September 71. An Optimal Design Method of Hydrostatic Turntable Based on FPSO Algorithm. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 71:11-12
%A Zhao, Yongsheng 
%A Luo, Jiaqing 
%A Li, Ying 
%A Zhang, Tao 
%A Ma, Honglie 
%D 2025
%T An Optimal Design Method of Hydrostatic Turntable Based on FPSO Algorithm
%B 2025
%9 hydrostatic turntable; finite difference method; Reynolds equation; fuzzy particle swarm optimization algorithm; performance optimization; 
%! An Optimal Design Method of Hydrostatic Turntable Based on FPSO Algorithm
%K hydrostatic turntable; finite difference method; Reynolds equation; fuzzy particle swarm optimization algorithm; performance optimization; 
%X The load capacity of hydrostatic turntables is predominantly governed by the design of oil pads. Optimizing oil pad parameters can substantially enhance turntable performance while reducing power consumption. This study introduces a fuzzy particle swarm optimization (FPSO) algorithm that incorporates compression factors into the particle swarm optimization (PSO) framework to optimize the parameters of oil pads. Reduce its power consumption by about 40 %, while the error between experimental and theoretical values is only 8 %. Compared with traditional PSO algorithms, FPSO converges more reliably in multiparametric environments.
%U https://www.sv-jme.eu/article/an-optimal-design-method-of-hydrostatic-turntable-based-on-fpso-algorithm/
%0 Journal Article
%R 10.5545/sv-jme.2025.1366
%& 402
%P 8
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 71
%N 11-12
%@ 0039-2480
%8 2025-09-25
%7 2025-09-25
Zhao, Yongsheng, Jiaqing  Luo, Ying  Li, Tao  Zhang, & Honglie  Ma.
"An Optimal Design Method of Hydrostatic Turntable Based on FPSO Algorithm." Strojniški vestnik - Journal of Mechanical Engineering [Online], 71.11-12 (2025): 402-409. Web.  12 Dec. 2025
TY  - JOUR
AU  - Zhao, Yongsheng 
AU  - Luo, Jiaqing 
AU  - Li, Ying 
AU  - Zhang, Tao 
AU  - Ma, Honglie 
PY  - 2025
TI  - An Optimal Design Method of Hydrostatic Turntable Based on FPSO Algorithm
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2025.1366
KW  - hydrostatic turntable; finite difference method; Reynolds equation; fuzzy particle swarm optimization algorithm; performance optimization; 
N2  - The load capacity of hydrostatic turntables is predominantly governed by the design of oil pads. Optimizing oil pad parameters can substantially enhance turntable performance while reducing power consumption. This study introduces a fuzzy particle swarm optimization (FPSO) algorithm that incorporates compression factors into the particle swarm optimization (PSO) framework to optimize the parameters of oil pads. Reduce its power consumption by about 40 %, while the error between experimental and theoretical values is only 8 %. Compared with traditional PSO algorithms, FPSO converges more reliably in multiparametric environments.
UR  - https://www.sv-jme.eu/article/an-optimal-design-method-of-hydrostatic-turntable-based-on-fpso-algorithm/
@article{{sv-jme}{sv-jme.2025.1366},
	author = {Zhao, Y., Luo, J., Li, Y., Zhang, T., Ma, H.},
	title = {An Optimal Design Method of Hydrostatic Turntable Based on FPSO Algorithm},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {71},
	number = {11-12},
	year = {2025},
	doi = {10.5545/sv-jme.2025.1366},
	url = {https://www.sv-jme.eu/article/an-optimal-design-method-of-hydrostatic-turntable-based-on-fpso-algorithm/}
}
TY  - JOUR
AU  - Zhao, Yongsheng 
AU  - Luo, Jiaqing 
AU  - Li, Ying 
AU  - Zhang, Tao 
AU  - Ma, Honglie 
PY  - 2025/09/25
TI  - An Optimal Design Method of Hydrostatic Turntable Based on FPSO Algorithm
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 71, No 11-12 (2025): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2025.1366
KW  - hydrostatic turntable, finite difference method, Reynolds equation, fuzzy particle swarm optimization algorithm, performance optimization, 
N2  - The load capacity of hydrostatic turntables is predominantly governed by the design of oil pads. Optimizing oil pad parameters can substantially enhance turntable performance while reducing power consumption. This study introduces a fuzzy particle swarm optimization (FPSO) algorithm that incorporates compression factors into the particle swarm optimization (PSO) framework to optimize the parameters of oil pads. Reduce its power consumption by about 40 %, while the error between experimental and theoretical values is only 8 %. Compared with traditional PSO algorithms, FPSO converges more reliably in multiparametric environments.
UR  - https://www.sv-jme.eu/article/an-optimal-design-method-of-hydrostatic-turntable-based-on-fpso-algorithm/
Zhao, Yongsheng, Luo, Jiaqing, Li, Ying, Zhang, Tao, AND Ma, Honglie.
"An Optimal Design Method of Hydrostatic Turntable Based on FPSO Algorithm" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 71 Number 11-12 (25 September 2025)

Authors

Affiliations

  • Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, China 1

Paper's information

Strojniški vestnik - Journal of Mechanical Engineering 71(2025)11-12, 402-409
© The Authors 2025. CC BY 4.0 Int.

https://doi.org/10.5545/sv-jme.2025.1366

The load capacity of hydrostatic turntables is predominantly governed by the design of oil pads. Optimizing oil pad parameters can substantially enhance turntable performance while reducing power consumption. This study introduces a fuzzy particle swarm optimization (FPSO) algorithm that incorporates compression factors into the particle swarm optimization (PSO) framework to optimize the parameters of oil pads. Reduce its power consumption by about 40 %, while the error between experimental and theoretical values is only 8 %. Compared with traditional PSO algorithms, FPSO converges more reliably in multiparametric environments.

hydrostatic turntable; finite difference method; Reynolds equation; fuzzy particle swarm optimization algorithm; performance optimization;