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Journal of Applied Fluid Mechanics، جلد ۱۸، شماره ۱۱، صفحات ۲۶۸۰-۲۶۹۶
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عنوان انگلیسی Multi-objective Optimization of Micro Wind Generator Blade Structure Parameters based on Response Surface Methodology and Non-dominated Sorting Genetic Algorithm III
چکیده انگلیسی مقاله This study investigates the effect of blade structural parameters on the power generation performance—specifically output current and voltage of a micro wind generator, using experimental testing and multi-objective optimization. The influence of blade diameter (BD), blade inclination angle (BA), blade number (BN), and blade root draft angle (BRA) on generator performance is analyzed. The Box-Behnken Design (BBD) of response surface methodology (RSM) is employed to assess variance and to establish a quadratic polynomial model linking structural parameters to performance metrics. Computational fluid dynamics (CFD) simulations are used to interpret experimental observations. The NSGA-III algorithm is applied to optimize the parameter set. Results indicate that BRA has negligible effect on performance. The ranking of influence on output current and voltage is BN > BA > BD, and on blade weight is BN > BD > BA. The optimal configuration comprises a BD of 105 mm, an inclination angle of 35.92°, and 6 blades. Validation by experiment and CFD confirms that this configuration yields higher output current and voltage with only a modest increase in blade weight, providing practical guidance for the structural design of micro wind generators.
کلیدواژه‌های انگلیسی مقاله Wind energy,Blade design,Box-Behnken design,Computational fluid dynamics,Response surface methodology,Non-dominated sorting algorithm
نویسندگان مقاله C. Wang |
College of Mechanical and Vehicle Engineering, Bengbu University, Bengbu, Anhui, 233030, China

D. Y. Luo |
Anhui Province Additive Manufacturing Engineering Research Center, Bengbu University, Bengbu, Anhui, 233030, China

H. L. Fan |
College of Mechanical and Vehicle Engineering, Bengbu University, Bengbu, Anhui, 233030, China

H. Yang |
College of Mechanical and Vehicle Engineering, Bengbu University, Bengbu, Anhui, 233030, China

T. L. Wei |
College of Mechanical and Vehicle Engineering, Bengbu University, Bengbu, Anhui, 233030, China

نشانی اینترنتی https://www.jafmonline.net/article_2739_cfc465623d953484e73af62368350005.pdf
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