Optimization Design of a Common Rail Injector Based on NSGA-Ⅱ Algorithm
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%.
high pressure common railelectronic controlled injectornon-dominted genetic algorithm-Ⅱ (NSGA-Ⅱ )multi-objective optimization
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