分析了多道次轧制工艺参数对含钒钢组织性能的影响,以主成分分析法和偏最小二乘法建立工艺参数与组织参数回归模型,确定优化方向。实验方法以灰色理论为依据,建立多指标决策的灰关联度量化模型,对含钒钢综合性能进行排序,确定最优方案,为工艺参数的优化提供决策支持。研究表明:对成分、第一道次变形温度、第二道次变形量,第一二、三四道次间隔时间等参数进行控制可以得到综合性能较好的材质,其F铁素体≥75%,Bfine≥60%、纳米级析出相尺寸(σ)(10-50)nm,晶粒尺寸(τ)3.4μm。
[ Abstract] Analyses the influence of multi-pass parameters on the vanadium-alloyed steel and finds a best way of optimization by making up a model using aprincipal component analysis and PLS algorithm. The method adopted builds a multiple-decision-making grey incidence model bases on the Grey Theory, and rank its comprehensive performances of the vanadium-alloyed steel and provides a better decision- making support system for the optimization of its process parameter. The result shows that controlling of the components ,the Pass I deformation temperature ,the Pass [[ deformation amount,and the interval between pass Ⅰ/Ⅱ and pass Ⅲ/Ⅳ would improve the comprehensive performance of the material with itsF铁素体≥75%, Ffine≥ 60%, nano-scale precipitation phase size(σ)( 10-50 )nm,gra/n size 3.4μm