Optimization design of a common rail injector based on NSGA-II algorithm

Qing Hui Xiong; You Tong Zhang; Ding Biao Wang; Xiao Kun Zhang; Yong Feng Liu; Xiao Liang Ding

Optimization design of a common rail injector based on NSGA-II algorithm

Qing Hui Xiong^*, You Tong Zhang, Ding Biao Wang, Xiao Kun Zhang, Yong Feng Liu, Xiao Liang Ding

^*Corresponding author for this work

School of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

The key structural parameters of the electronic controlled injector make a notable impact on the response time of the injector. This paper uses the non-dominated sorting genetic algorithm-II(NSGA-II) method to optimize the parameters of the injector. The optimization is based on the multi-objective optimization platform, modeFRONTIER, and utilizes the hydraulic simulation software AMESim. Aiming at the delay functions of the opening and closing of the nozzle, the multi-objective optimization model is established and the optimization design of injector's key structural parameters is implemented. The results show that the delay of the nozzle opening is 0.25 ms, which is reduced by 16.7%; while the delay of the closing is 0.78 ms, which is reduced by 15.2%.

Original language	English
Pages (from-to)	1160-1164
Number of pages	5
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	30
Issue number	10
Publication status	Published - Oct 2010

Keywords

Electronic controlled injector
High pressure common rail
Multi-objective optimization
Non-dominated genetic algorithm-II(NSGA-II)

Cite this

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title = "Optimization design of a common rail injector based on NSGA-II algorithm",

abstract = "The key structural parameters of the electronic controlled injector make a notable impact on the response time of the injector. This paper uses the non-dominated sorting genetic algorithm-II(NSGA-II) method to optimize the parameters of the injector. The optimization is based on the multi-objective optimization platform, modeFRONTIER, and utilizes the hydraulic simulation software AMESim. Aiming at the delay functions of the opening and closing of the nozzle, the multi-objective optimization model is established and the optimization design of injector's key structural parameters is implemented. The results show that the delay of the nozzle opening is 0.25 ms, which is reduced by 16.7%; while the delay of the closing is 0.78 ms, which is reduced by 15.2%.",

keywords = "Electronic controlled injector, High pressure common rail, Multi-objective optimization, Non-dominated genetic algorithm-II(NSGA-II)",

author = "Xiong, {Qing Hui} and Zhang, {You Tong} and Wang, {Ding Biao} and Zhang, {Xiao Kun} and Liu, {Yong Feng} and Ding, {Xiao Liang}",

year = "2010",

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TY - JOUR

T1 - Optimization design of a common rail injector based on NSGA-II algorithm

AU - Xiong, Qing Hui

AU - Zhang, You Tong

AU - Wang, Ding Biao

AU - Zhang, Xiao Kun

AU - Liu, Yong Feng

AU - Ding, Xiao Liang

PY - 2010/10

Y1 - 2010/10

N2 - The key structural parameters of the electronic controlled injector make a notable impact on the response time of the injector. This paper uses the non-dominated sorting genetic algorithm-II(NSGA-II) method to optimize the parameters of the injector. The optimization is based on the multi-objective optimization platform, modeFRONTIER, and utilizes the hydraulic simulation software AMESim. Aiming at the delay functions of the opening and closing of the nozzle, the multi-objective optimization model is established and the optimization design of injector's key structural parameters is implemented. The results show that the delay of the nozzle opening is 0.25 ms, which is reduced by 16.7%; while the delay of the closing is 0.78 ms, which is reduced by 15.2%.

AB - The key structural parameters of the electronic controlled injector make a notable impact on the response time of the injector. This paper uses the non-dominated sorting genetic algorithm-II(NSGA-II) method to optimize the parameters of the injector. The optimization is based on the multi-objective optimization platform, modeFRONTIER, and utilizes the hydraulic simulation software AMESim. Aiming at the delay functions of the opening and closing of the nozzle, the multi-objective optimization model is established and the optimization design of injector's key structural parameters is implemented. The results show that the delay of the nozzle opening is 0.25 ms, which is reduced by 16.7%; while the delay of the closing is 0.78 ms, which is reduced by 15.2%.

KW - Electronic controlled injector

KW - High pressure common rail

KW - Multi-objective optimization

KW - Non-dominated genetic algorithm-II(NSGA-II)

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JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

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Optimization design of a common rail injector based on NSGA-II algorithm

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Keywords

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