摘要 LY12铝合金是一种常见的汽车轻量化材料,为了实现铝合金材料的高效高质量制造,以铣削过程中铣削用量的选取范围为约束条件,建立以材料去除率最高和表面粗糙度最低为目标的多目标优化模型。通过铣削加工正交试验,采用回归分析方法,建立表面粗糙度预测模型;利用多目标线性规划法求出多目标优化模型的最优解。最后通过分析铣削用量对表面质量的影响得出:在给定的铣削参数范围内,主轴转速和进给速度对表面粗糙度的影响最为显著,侧吃刀量次之,而背吃刀量影响最小。 LY12 Aluminum alloy is a common lightweight material for automobile,in order to achieve its high efficiency and high quality manufacturing,a multi-objective optimization model aiming at the highest material removal rate and the lowest surface roughness was established by taking the selection range of milling dosage in the milling process as the constraint condition.The surface roughness prediction model was established by orthogonal experiment and regression analysis.The optimal solution of the multi-objective optimization model is obtained by using the multi-objective linear programming method.Finally,it is concluded that in the given milling parameter range,spindle speed and feed speed have the most significant influence on surface roughness,followed by side cutting amount and back cutting amount by analyzing the influence of milling amount on surface quality.
机构地区 河南工学院车辆与交通工程学院
出处 《机械设计与制造》 北大核心 2021年第4期70-73,共4页 Machinery Design & Manufacture
基金 河南省高等学校青年骨干教师资助项目(2018GGJS172) 河南省科技攻关项目(202102210066)。
关键词 材料去除率 表面粗糙度 回归分析法 预测模型 工艺参数分析 Material Removal Rate Surface Roughness Regression Analysis Prediction Model Process Parameter Analysis
