摘要
为了更有效地进行高速电磁阀参数的设计及匹配,经常采用数值模拟方法和结合实验设计的响应面方法。在Ansoft Maxwell电磁仿真环境中建立了柴油机电控单体泵高速电磁阀的有限元模型,通过与试验数据对比,得出电磁阀关闭响应时间最大误差为2%,开启响应时间最大误差为8.7%,验证了该仿真模型的准确性。通过中心复合设计实验设计方法,制定了高速电磁阀动态响应特性实验研究方案。应用最小二乘法进行回归分析,分别得出了高速电磁阀关闭响应时间、开启响应时间的多元二次响应面预测模型。两模型的R2值、Q2值分别为0.986、0.867和0.999、0.981,且通过仿真实验验证,关闭响应时间、开启响应时间最大误差分别为5.1%、1.6%,说明了该模型能够准确预测高速电磁阀的动态响应特性,为高速电磁阀参数的设计及匹配提供了一种有效工具。
For a more effective design and matching of the parameters of the high-speed solenoid valve,the numeri-cal simulation method and response surface methodology（RSM）along with the design of experiments（DOE）are applied. The finite element model of the high-speed solenoid valve for the diesel engine electronic unit pump has been developed in the Ansoft Maxwell environment. Its accuracy has been verified through laboratory experiments and the maximum error rate of the closed response time is 2% and the maximum error rate of the open response time is 8.7%. The experimental research scheme of dynamic response characteristics of the high-speed solenoid valve was designed by central composite design（CCD）. With the least square regression analysis,the multiple quadratic re-sponse surface models of the closed response time and open response time of the high-speed solenoid valve were ob-tained. The values of R2 and Q2 of the two models are 0.986,0.867 and 0.999, 0.981, respectively, and the maxi-mum error rate of the closed response time and open response time are 5.1% and 1.6%, respectively. Simulation experiment proves that the model can accurately forecast the dynamic response characteristics of the high-speed sole-noid valve. This study provides an effective tool for the design and matching of the parameters of the high-speed so-lenoid valve.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2014年第5期537-543,共7页
Journal of Harbin Engineering University
基金
国家自然科学基金资助项目(51379041
51279037)
中央高校基本科研业务费专项基金资助项目(HEUCF13)
教育部科学技术研究资助项目(113060A)
哈尔滨工程大学青年骨干教师支持计划资助项目
关键词
柴油机
电控单体泵
高速电磁阀
动态响应
响应面方法
实验设计
预测模型
diesel engine
electronic unit pump
high-speed solenoid valve
dynamic response
response surfacemethodology
design of experiments
prediction model
