高压共轨喷油器系统鲁棒性分析与优化

作为柴油机共轨系统的核心元件，喷油器系统鲁棒性是精确喷射技术的重要保证。针对喷油器系统稳定性分析以及多参数匹配整定困难问题，采用蒙特卡罗方法拉丁超立方体抽样原理对结构参数相关性进行计算。结果表明：预注入量与阻尼孔直径A、阻尼孔直径B、弹簧预紧力和阀芯直径的相关性高，且直径A和直径B对主喷射过程影响较大；通过NLPQL算法进行系统关键结构参数优化，使喷油器预注入和主喷射流量各增大10.7%、18.3%，预注入和主喷射容量各增长8.2%、25.6%，预注入和主喷射关闭行程各缩短6.8%、15.9%，有效提高了共轨喷油系统鲁棒性和喷射技术快速性、精确性。

Robustness Analysis and Optimization of High Pressure Common Rail Injector System

As the core component of common rail system of diesel engine,the robustness of injector system is an important guarantee of precise injection technology.Aiming at the stability analysis of the injector system and the difficulty of multi parameter matching and setting,the Monte Carlo method Latin hypercube sampling principle was used to calculate the correlation of the structural parameters.The results show that the correlation between the pre injection amount and the damping hole diameter A ,damping hole diameter B ,spring preload and valve core diameter is high,and the diameters A and B have a great impact on the main injection process.The NLPQL algorithm was used to optimize the key structural parameters of the system,the pre injection and main injection flow of the injector are increased by 10.7% and 18.3% respectively,the pre injection and main injection capacity are increased by 8.2% and 25.6% respectively,and the pre injection and main injection closing are shortened by 6.8% and 15.9% respectively,which effectively improves the robustness of the common rail injection system and the fast and accurate injection technology.