Optimization of centrifugal fan for oolong tea shaking machine based on Kriging model and multi-objective particle swarm algorithm.

Chengzhi Ruan, Yiwei Chen, Luxuan Zheng, Bo Guo, Jiayou Chen, Jun Yang, Siling Chen

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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7 authors.

Chengzhi RuanKey Laboratory of Agricultural Machinery Intelligent Control and Manufacturing of Fujian ProvinceUniversity, Wuyi University, Wuyishan, 354300, China. ruanczhi@wuyiu.edu.cn.

Yiwei ChenKey Laboratory of Agricultural Machinery Intelligent Control and Manufacturing of Fujian ProvinceUniversity, Wuyi University, Wuyishan, 354300, China.

Luxuan ZhengKey Laboratory of Agricultural Machinery Intelligent Control and Manufacturing of Fujian ProvinceUniversity, Wuyi University, Wuyishan, 354300, China.

Bo GuoKey Laboratory of Agricultural Machinery Intelligent Control and Manufacturing of Fujian ProvinceUniversity, Wuyi University, Wuyishan, 354300, China.

Jiayou ChenSchool of Intelligent Manufacturing Engineering, Liming Vocational University, Quanzhou, 362000, China.

Jun YangKey Laboratory of Agricultural Machinery Intelligent Control and Manufacturing of Fujian ProvinceUniversity, Wuyi University, Wuyishan, 354300, China.

Siling ChenKey Laboratory of Agricultural Machinery Intelligent Control and Manufacturing of Fujian ProvinceUniversity, Wuyi University, Wuyishan, 354300, China.

Funding

Fujian Province Undergraduate Education and Teaching Reform Project No. FBJY20230282Fujian Provincial Small and Medium-sized Technological Innovation Fund Project 2025C0026National College Student Innovation and Entrepreneurship Training Program of China 202410397009Natural Science Foundation of Fujian Province No. 2022J011191The National Natural Science Foundation of China No. 61903288Wuyi University Talent Research Start-up Funding Program Grant No. YJ202320Wuyi University Teaching and Research Program No. JY2024002

6 · The paper itself

Abstract

This study optimized the air volume and efficiency of the centrifugal fan in the shaking machine for oolong tea, aiming to enhance its aerodynamic performance and efficiency. Fitting blade profiles by constraining control points of a third-order Bézier curve through key geometric parameters of the blade, and forty-five sample points were generated in the design space by combining Computational Fluid Dynamics (CFD) simulation and Optimal Latin Hypercube Sampling (OLHS). The Multi-Objective Particle Swarm Optimization (MOPSO) algorithm was used to obtain the optimal parameter combination. Flow field analysis showed that after optimization, the recirculation phenomenon in the flow channel between the blades was improved; the strong turbulent kinetic energy at the inlet and outlet of the fan and the leading edge of the impeller tongue was effectively suppressed, the internal flow field was more stable, and the efficiency was improved. the air volume increased by 176.19 m³/h. These results demonstrate the significance of the proposed blade optimization in the aerodynamic performance of the shaking machine. This study addresses the research gap in the multi-parameter collaborative optimization for centrifugal fans used in oolong tea processing equipment, which traditionally relies on single-parameter empirical designs.

Indexed as

Agent modelCentrifugal fanFlow field analysisMulti-objective optimizationShaking machine

Identifiers

PMID41419952

DOI10.1038/s41598-025-32474-0

PMCPMC12824320

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