A Study on the Application of Genetic Algorithm to the Parameter Optimization Design for Fuel Injection System of Diesel Engines

:Zhang Hongguang;:Zou Wensheng;:Wang Yan;Sun Yongxia

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  • Sponsored by: China Association for Science and Technology (CAST)

    Editor-In-Chief: Xu Yida

    ISSN 1000-1093

    　

  • Hosted By: China Ordnance Society

    Published By: Acta Armamentarii

    CN 11-2176/TJ

Acta Armamentarii, a Chinese monthly journal, was first published in 1979. The journal is supervised by China Association for Science and Technology, sponsored by China Ordnance Society，and edited and published by Editorial Board of Acta Armamentarii. The Journal is included in all important domestic databases，and also collected by Engineering Index (EI, USA), Chemical Abstracts (CA, USA), Science Abstracts (SA, UK）, Abstract Journal (AJ, Russia), and Current Bibliography on Science and Technology(CBST).Acta Armamentarii has been selected into the journal Of Ordnance Science and Technology (Weapons Industry) Field Of High Quality Scientific and Technological Periodical Classification Catalogue (2022 edition), ranking T1, and the journal of Automotive Engineering Field of High Quality Scientific and technological Periodical classification Catalogue, ranking T2.
Acta Armamentarii ›› 2003, Vol. 24 ›› Issue (4) : 433-437. DOI: 10.3969/j.issn.1000-1093.2003.04.001
Paper

A Study on the Application of Genetic Algorithm to the Parameter Optimization Design for Fuel Injection System of Diesel Engines

  • 1:Zhang Hongguang;2:Zou Wensheng;3:Wang Yan ,Sun Yongxia
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Abstract

In order to obtain the ideal fuel spray characteristics, it is necessary to optimize the design pa?rameters of the fuel injection system in diesel engines. In the paper, on the basis of the equations of fuel spray characteristics, genetic algorithm (GA) was applied to optimize the parameter of the fuel injection system for 6V150 diesel engines. The process of the parameter optimization design based on GA was intro?duced and briefly discussed in many of its respects. The results show that GA is suitable for the parameter optimization design for fuel injection systems of diesel engines.

Key words

machinery design / genetic algorithm(GA)，diesel engine / fuel injection system / parameter optimization design

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1:Zhang Hongguang;2:Zou Wensheng;3:Wang Yan ,Sun Yongxia. A Study on the Application of Genetic Algorithm to the Parameter Optimization Design for Fuel Injection System of Diesel Engines. Acta Armamentarii. 2003, 24(4): 433-437 https://doi.org/10.3969/j.issn.1000-1093.2003.04.001

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