Optimization of gear pump operating parameters using genetic algorithms and performance analysis

被引:1
作者
Deptula, Adam [1 ]
Osinski, Piotr [2 ]
机构
[1] Opole Univ Technol, Fac Prod Engn & Logist, ul Proszkowska 7, PL-645758 Opole, Poland
[2] Wroclaw Univ Sci & Technol, Fac Mech Engn, Ul Lukasiewicza 7-9, PL-50371 Wroclaw, Poland
关键词
gear pump; genetic algorithm; multi-involute profile; optimization; volumetric efficiency; noise reduction; operating parameters; PROFILE MODIFICATION; ACOUSTIC PROPERTIES; VIBRATION; DESIGN;
D O I
10.12913/22998624/197433
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This study explores the optimization of operating parameters and the design of innovative gear pumps featuring multi-involute tooth profiles. Using a genetic algorithm, optimal parameters such as the basic radius, tooth height, and angles of involute profiles were determined. Results indicate that the proposed optimization framework significantly improves the volumetric and total efficiency of the pumps. Specifically, a volumetric efficiency increase of 8-12% and a reduction in noise levels by 3-5 dB were observed compared to conventional designs. The experimental validation confirmed the robustness of the proposed model, showcasing its potential for industrial applications. This work highlights the integration of advanced computational techniques with engineering design to achieve enhanced performance metrics.
引用
收藏
页码:211 / 227
页数:17
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