基于响应面法的铝合金筋板锻件工艺参数多目标优化

Multi-objective optimization of process parameters by RSM for aluminium-alloy rib-web forgings

为了能获得更好的铝合金筋板类锻件锻造成形工艺参数,提出了基于响应面法(Response Surface Methodology,RSM)和有限元模拟技术(finite element simulation,FEM)的锻造成形工艺参数多目标优化策略.以铝合金筋板类锻件晶粒均匀性和锻造变形力作为评价指标,建立了有限元数值模拟与响应面法相结合的二阶分析模型,求得的回归模型拟合度达89.59%.并运用MATLAB软件求出可行设计空间中目标函数最佳工艺参数组合为始锻温度465℃、锻造速度8.7 mm/s、摩擦系数0.2.锻件的晶粒均匀性有了很大的改善,同时有效的降低了锻件变形力,并通过DEFORM-2D模拟和热加工图对其进行了验证,表明了所提出方法的有效性.

To obtain better forming process parameters of aluminum-alloy rib-web forging, a multi-objective optimization that based on response surface method （RSM） and finite element simulation technique （FEM） was put forward. Taking the grain uniformity and forming force as evaluation index, a second order response surface model combining of finite element numerical simulation and response surface method was set up, and the regression model fitted up to 89.59%. By MATLAB software, the optical process parameters in feasible design space are obtained as following ： forging temperature of 465℃, forging speed of 8.7 mm/s and friction coefficient of 0.2. The grain uniformity is improved greatly and the forging force is effectively reduced. This is validated by DEFORM-2D simulation and hot processing map.