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Sulphur Removal with Controllable Fan Structure Design and Performance Prediction Research


Affiliations
1 College of Mechanical and Automotive, Anhui Polytechnic University, China
 

In order to obtain the sulphur removal with controllable fan's optimal control structure, we designed the structure according to the given conditions, determined the structure and performance indicators, and got the fan structure parameters which are used for the three-dimensional entity modelling. The fan flow field was studied by numerical simulation. Designing the fan's L9(34) orthogonal test table, choosing the impeller diameter, blade import installation angle and outlet blade installation angle for the orthogonal experiment of four factors, completed the orthogonal experiment and analysed the experimental results to get the process parameters optimization direction of each evaluation index influence situation. By using genetic algorithm to multi-objective optimization of fan noise and efficiency, we obtained the optimum technological parameters of centrifugal fan impeller combination as: the impeller diameter 1.18 mm, the impeller diameter imported 0.33 mm, inlet installation angle 31.69°, and the outlet blade installation angle 82.66°. Based on the flow field simulation and use of the numerical analysis principle, the performance prediction model of fan efficiency desulphurization and dust removal was obtained.

Keywords

Desulfurization, Dust Removal Fan, Orthogonal Test, Genetic Algorithm.
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  • Sulphur Removal with Controllable Fan Structure Design and Performance Prediction Research

Abstract Views: 213  |  PDF Views: 1

Authors

Youmin Wang
College of Mechanical and Automotive, Anhui Polytechnic University, China
Binxue Xu
College of Mechanical and Automotive, Anhui Polytechnic University, China
Lingfeng Tang
College of Mechanical and Automotive, Anhui Polytechnic University, China
Houzhi Xin
College of Mechanical and Automotive, Anhui Polytechnic University, China

Abstract


In order to obtain the sulphur removal with controllable fan's optimal control structure, we designed the structure according to the given conditions, determined the structure and performance indicators, and got the fan structure parameters which are used for the three-dimensional entity modelling. The fan flow field was studied by numerical simulation. Designing the fan's L9(34) orthogonal test table, choosing the impeller diameter, blade import installation angle and outlet blade installation angle for the orthogonal experiment of four factors, completed the orthogonal experiment and analysed the experimental results to get the process parameters optimization direction of each evaluation index influence situation. By using genetic algorithm to multi-objective optimization of fan noise and efficiency, we obtained the optimum technological parameters of centrifugal fan impeller combination as: the impeller diameter 1.18 mm, the impeller diameter imported 0.33 mm, inlet installation angle 31.69°, and the outlet blade installation angle 82.66°. Based on the flow field simulation and use of the numerical analysis principle, the performance prediction model of fan efficiency desulphurization and dust removal was obtained.

Keywords


Desulfurization, Dust Removal Fan, Orthogonal Test, Genetic Algorithm.

References