基于GT-Power的柴油机进排气系统多目标优化  

Multi-Objective Optimization of Intake and Exhaust System of Diesel Engine Based on GT-Power

作　　者：刘德辉[1] 石柏军[1] 章雪华[1] 

机构地区：[1]华南理工大学机械与汽车工程学院,广州510641

出　　处：《重庆理工大学学报（自然科学）》2016年第7期30-37,共8页Journal of Chongqing University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(51375168)

摘　　要：针对所研究的全柴490柴油机,建立进排气系统的三维模型并进行离散化,确定所需优化的结构参数,包括进气总管长度、谐振腔容积、进气歧管长度和直径以及排气歧管长度和直径。在GT-Power中建立柴油机的数值仿真模型,并通过台架试验把各个稳态工况下的仿真数据与试验数据作对比,验证模型的有效性。以进排气系统的各个结构参数为试验因子,采用试验设计(DOE)方法,得出一系列性能参数作为试验响应,拟合2阶模型响应面,并以扭矩最大、油耗率最少为优化目标,利用遗传算法进行多目标优化。通过把原始参数与取整后的优化参数作对比,发现扭矩最大提升达2.238%,同时油耗有所降低,最多下降2.189%。Aiming at the QuanChai 490 diesel engine, 3D models of its intake and exhaust system were built and discretized for numerical simulation, and structure parameters needed to be optimized were confirmed, including length of the intake inlet pipe, volume of the resonant cavity, length and diameter of the intake manifold, length and diameter of the exhaust manifold. A numerical simulation model of the diesel engine was built on GT-Power and the bench test was taken. Through the the engine performance as the responses, a quadratic response surface was fit. Taking the maximum torque and the minimum fuel consumption as the optimization target, genetic algorithm was applied for multi-objective optimization. The contrast of the performance between original and optimized parameters showed the maximum torque increased 2. 238% and the maximum fuel consumption saved 2. 189%.

关 键 词：柴油机 进排气系统 GT-POWER 数值仿真 DOE优化 

分 类 号：U464.123[机械工程—车辆工程]