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Optimization Design of Anti-Dust Accumulation Centrifugal Fan Using Genetic Algorithm

[+] Author Affiliations
Jin Xiong, Haoyu Cui, Jing-yin Li

Xi’an Jiatong University, Xi’an, China

Paper No. IMECE2016-67575, pp. V007T09A080; 10 pages
doi:10.1115/IMECE2016-67575
From:
  • ASME 2016 International Mechanical Engineering Congress and Exposition
  • Volume 7: Fluids Engineering
  • Phoenix, Arizona, USA, November 11–17, 2016
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5061-9
  • Copyright © 2016 by ASME

abstract

Centrifugal fans are widely used in different fields. The working fluid with high concentration of dust or coal ash could result in accumulations of dust or ash on the surface of impellor. Consequently, the fan or process system often has to be shut down unplanned to clean the dust or ash, to prevent harmful vibration of the rotor. In this paper, the main accumulating positions of dust and ash in impellor were firstly summarized. Then, a model of dust particle adhesion force judgment was established on the basis of static force analysis. Base on the analysis result, the influences of blade angle and blade radii on the dust-accumulating positions were discussed, which conformed to practical observations. After that, there introduces a low flow rate fan which cannot even be used in practical applications due to its inferior dust anti-adhesion ability. For this case, an optimization design with eight control variables was proposed to improve its anti-adhesion ability and efficiency. After six generations of optimization, the optimized results were clustered to two domains. Therefore, the searching areas were limited down to two areas which are determined by using clustering method in order to speed up the optimization process. The results of the numerical simulation of the gas-solid two-phase flow based on discrete phase model (DPM) showed that the new fan can run stably for a long-term.

Copyright © 2016 by ASME

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