摘要
为了研究超高强度钢航空零件的切削性能,保证切削加工时刀具的耐用度和加工质量,通过三因素三水平正交仿真分析,探讨了主轴转速、每齿进给量和背吃刀量三个因素对切削温度、最大主应力、刀具扭矩和总切削力等评价指标的影响。在仿真结果数据的基础上,通过极差分析法得出了各因素对各项评价指标的影响顺序以及影响趋势图;同时利用仿真结果数据建立了BP神经网络,进一步得出了各项评价指标的数学模型,最后通过遗传算法寻优,得出了超高强度钢铣削加工时的最优切削参数个体。
In order to study the cutting performance of ultra-high strength steel aerospace parts,and ensure cutting tools＇ durability and processing quality,the influence of factors on evaluation indexes was discussed through the three-factor three-level orthogonal simulation analysis.The factors are spindle speed,feed per tooth and cutting depth,and the evaluation indexes are maximum principal stress,cutting temperature,tool torque and total cutting force.Based on the simulation results,the influence order of each factor on the evaluation indexes and the influence trend chart were obtained through the method of extreme difference analysis.At the same time,the BP neural network was established by using the simulation results,and the mathematical model of each evaluation index was obtained.Finally,the optimal cutting parameters of high strength steel milling were obtained through genetic algorithm.
作者
郝红武
HAO Hong-wu(School of Aircraft,Xi＇an Aeronautical University, Xi＇an 710077 ,China)
出处
《西安航空学院学报》
2018年第3期3-9,共7页
Journal of Xi’an Aeronautical Institute
关键词
切削仿真
正交
神经网络
遗传算法
超高强度钢
cutting simulation
orthogonal
neural networks
genetic algorithm
ultra high strength steel
