摘要
针对AerMet100超高强度钢的难加工性,基于正交试验分析不同铣削参数下加工表面粗糙度、三维表面形貌和金相组织的变化规律,并建立加工表面粗糙度经验数学模型。通过多目标粒子群优化算法对铣削参数局部寻优。结果表明:切削参数中主轴转速是表面粗糙度的最大影响因素。加工表面近端产生一定厚度的变形区和白层,靠近加工表面白层厚度随切削用量的增加发生变化,位于变形区的晶粒组织沿切削速度方向表现出明显的取向性。经验证,通过多目标优化算法获取的参数组合相对误差较小,预测模型的可靠性较高。
In order to tackle the problem of poor machinability of AerMet100 ultra-high strength steel,the effects of milling parameters on the machined surface roughness,three-dimensional surface morphology and metallographic structure were analyzed based on the orthogonal test method,and the empirical mathematical model of machined surface roughness was established. Local optimization of milling parameters was carried out by multi-objective particle swarm optimization. The results show that the spindle speed is the dominant factor that influences the surface roughness. A certain thickness of deformation area and white layer are produced beneath the machined surface,and the thickness of white layer beneath the machined surface changes significantly with the increase of cutting amount. The grain structure in the deformation area shows obvious orientation along the cutting speed direction. It is verified that the relative error of the optimized parameter combination obtained by the multi-objective optimization algorithm is small,and the reliability of the prediction model is high.
作者
张昱
张昌明
ZHANG Yu;ZHANG Changming(School of Mechanical Engineering,Shaanxi University of Technology,Hanzhong 723001.China;Shaanxi Key Laboratory of Industrial Automation,Hanzhong 723001,China)
出处
《兵器材料科学与工程》
CAS
CSCD
北大核心
2020年第5期5-10,共6页
Ordnance Material Science and Engineering
基金
国家自然科学基金(51505268)
陕西省重点研发项目(2020GY-121)。
