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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2017  >  17(3): 90-98
ZHANG Yong-fang, LIU Cheng, LI Sha, LI Xian-wei, YAN Dong, LU Yan-jun. Surface texture optimization of journal bearing based on hybrid genetic algorithm[J]. Journal of Traffic and Transportation Engineering, 2017, 17(3): 90-98.
Citation: ZHANG Yong-fang, LIU Cheng, LI Sha, LI Xian-wei, YAN Dong, LU Yan-jun. Surface texture optimization of journal bearing based on hybrid genetic algorithm[J]. Journal of Traffic and Transportation Engineering, 2017, 17(3): 90-98.
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Surface texture optimization of journal bearing based on hybrid genetic algorithm

  • 1.

    School of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi'an 710048, Shaanxi, China

  • 2.

    State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, China

  • 3.

    School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, Shaanxi, China

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  • Author Bio:

    ZHANG Yong-fang(1975-), female, associate professor, PhD, +86-29-82312513, zhangyf@xaut.edu.cn

  • Received Date: 2017-03-25
  • Publish Date: 2017-06-25
    Abstract
  • The spherical dimple texture was designed on the surface of journal bearing to improve the lubrication performance of crankshaft system in diesel engine. In order to maximize the loadcarrying capacity and minimize the friction factor of the bearing, a hybrid evolutionary optimization method based on the sequential quadratic programming and the genetic algorithm was proposed, and an optimization model was developed for the journal bearing with spherical dimple texture. The distribution location and geometry parameters of dimple texture wereglobally optimized to obtain the optimal angle and maximum depth of texture under given working condition. In order to solve the load-carrying capacity and friction factor of journal bearing, the influence of surface roughness on oil flow was considered, a mass-conservation JFO (Jakobsson, Floberg, Olsson) cavitation algorithm was used to address the rupture and reformulation of oil film, and a mixed lubrication model was developed based on average Reynolds equation and Greenwood-Tripp asperity contact equation. The influence of spherical dimple textures with various distribution locations and geometry parameters (number, area density, and maximum depth) on the load-carrying capacity and friction factor of journal bearing was investigated. Analysis result shows that the load-carrying capacity and friction factor are the monotonic functions of dimple area density. There exists optimal angle and maximum depth of dimple that can maximize the load-carrying capacity and minimize the friction factor. When the eccentricity rises from 0.3 to 0.7, the increment of load-carrying capacity changes from 13.38% to 0.62%, and the decrement of friction factor changes from 0.73% to negative value. Therefore, when the eccentricity is smaller, the spherical dimple texture can increase the load-carrying capacity and decrease the friction factor effectively, and when the eccentricity is larger, the spherical dimple texture is unbeneficial to decrease the friction factor of the bearing.

     

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