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Lin, H.-H., & Cheng, J.-H. (2018). Computer Axial Flow Fan Optimization Design. KnE Social Sciences, 3(10). https://doi.org/10.18502/kss.v3i10.3498

https://doi.org/10.18502/kss.v3i10.3498

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authors

  • H-H Lin
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  • J-H Cheng
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Published Date

  • Nov 12, 2018

Computer Axial Flow Fan Optimization Design

KnE Social Sciences / The 2018 International Conference of Organizational Innovation (ICOI-2018) /

Abstract

In this study, the method of fuzzy multi-criteria decision-making is utilized for carrying out the assessment of axial-flow fan designs on the basis of competitive selection. Furthermore, the flow-field analysis by FLUENT has been conducted for comparison with the testing results by wind-tunnel measurements and experiments. With the modifications of geometric parameters, the internal three-dimensional flow fields of axial fans have been analyzed via the analysis by numerical simulation and a performance testing was conducted. The performance curves obtained have been compared with numerical results. And by taking the design optimization of axial-flow fans as a case, the validity of this design approach has been explained and verified. The research results revealed that this evaluation method not only incorporates both the practicability and the objectivity, it can also assist decision-makers in carrying out a strategic decision in complex and uncertain environments. Through the results of flow-field analysis, designers can effectively master the trend of flow-field distribution for axial-flow fans.


 


 


Keywords: method, fan design, numerical simulation, fan experiments

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