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SHEN Hao-sheng, ZHANG Jun-dong, YANG Bo-cheng, JIA Bao-zhu, GAN Hui-bing. Zonal modeling method for mass flow of large-scale marine compressor[J]. Journal of Traffic and Transportation Engineering, 2020, 20(6): 180-196. doi: 10.19818/j.cnki.1671-1637.2020.06.016
Citation: SHEN Hao-sheng, ZHANG Jun-dong, YANG Bo-cheng, JIA Bao-zhu, GAN Hui-bing. Zonal modeling method for mass flow of large-scale marine compressor[J]. Journal of Traffic and Transportation Engineering, 2020, 20(6): 180-196. doi: 10.19818/j.cnki.1671-1637.2020.06.016
shu

Zonal modeling method for mass flow of large-scale marine compressor

doi: 10.19818/j.cnki.1671-1637.2020.06.016
  • 1.

    Marine Engineering College, Dalian Maritime University, Dalian 116026, Liaoning, China

  • 2.

    Navigation College, Dalian Maritime University, Dalian 116026, Liaoning, China

  • 3.

    Maritime College, Guangdong Ocean University, Zhanjiang 524088, Guangdong, China

Funds:

National Natural Science Foundation of China 52071090

National Natural Science Foundation of China 51479017

Natural Science Foundation of Liaoning Province 201602071

Fundamental Research Funds for the Central Universities 3132019315

More Information
  • Author Bio:

    SHEN Hao-sheng(1989-), male, doctoral student, shen7231591@126.com

    ZHANG Jun-dong(1967-), male, professor, PhD, 493187643@qq.com

  • Received Date: 2020-06-01
  • Publish Date: 2020-12-25
    Abstract
  • To address the problems of unreliability of extrapolation when using a look-up table and inconsistent accuracy in prediction and extrapolation when using a single curve-fitting method in different operating zones of a compressor, a zonal modeling method was proposed for the mass flow of a large-scale marine compressor. After a zone division function was defined, the entire operating area of compressor was divided into the design, low-speed, high-speed, and low-pressure ratio zones. Following a comparison and analysis of the accuracies of prediction and extrapolation with the classical and proposed compressor mass flow models, a mathematical model with the highest accuracy was selected for each zone. A curve blending method was adopted to guarantee a smooth transition of the iso-speed line to prevent the possible discontinuity when the operating point enters the low pressure ratio zone from other operating zones during the dynamic simulation process. To validate the correctness and effectiveness of the proposed modeling method, it was applied to the simulation experiment of a large-scale low-speed two-stroke marine diesel engine model conducted under steady and transient operating conditions. Research result shows that compared with the look-up table method, the proposed modeling method can effectively improve the steady-state prediction accuracy of turbocharger rotational speed for the main engine simulation model, while reducing the mean absolute percentage error from 3.54% to 0.61%. The operating point of compressor can transition steadily and continuously from the design operating zone to the non-design operating zones under the transient operating condition when the speed and load of main engine change. The proposed modeling method not only accurately predicts the existing sample data points in the design operating zone of compressor, it also reasonably and robustly extrapolates the data to the non-design operating zones. The method can be applied directly to dynamic simulation research of turbocharged engines, and can be used to generate the compressor performance map for the full range of operating conditions offline. Accordingly, the method can be used in commercial engine performance simulation software.

     

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