灰色关联度优化钛合金盘铣开槽工艺参数  

Technological Parameter Optimization of Disc-Milling Grooving of Titanium Alloy Based on Grey Correlation Degree

作　　者：李志山 史耀耀[1] 辛红敏[1] 赵涛[1] 杨程 

机构地区：[1]西北工业大学现代设计与集成制造技术教育部重点实验室,陕西西安710072

出　　处：《西北工业大学学报》2018年第1期139-148,共10页Journal of Northwestern Polytechnical University

基　　金：国家科技重大专项"高档数控机床与基础制造装备"课题与航空发动机整体叶盘高效强力复合数控铣床开发及应用(2013ZX04001081)资助

摘　　要：针对盘铣开槽过程中材料去除率大、刀具磨损严重、塑性变形明显等问题,采用正交实验法设计三因素三水平的钛合金盘铣开槽加工实验。基于灰色关联分析将多目标优化转化为单目标优化,利用主成份分析确定材料去除率、刀具寿命、残余应力层厚度对灰色关联度的影响权重。通过对试验数据的回归分析,建立灰色关联度与工艺参数的二阶预测模型。基于各工艺参数对材料去除率、刀具寿命、残余应力层厚度和灰色关联度的影响规律分析,确定盘铣工艺参数优化方案。利用响应曲面进行工艺参数优化问题求解并进行盘铣开槽实验,结果表明:该优化方法获得的工艺参数组合可在满足刀具寿命和残余应力层厚度的基础上最大限度的提高材料去除率。In present paper, aim to some problems such as big material removal rate, serious tool wear and obvious plastic deformation during disc-milling grooving, the orthogonal experiment with three factors and three levels was designed. First, the multi-objective optimization was converted to single-objective optimization based on grey correlation analysis, the influence weight of material removal rate, tool life and the depth of residual stress layer on grey correlation degree was determined via principal component analysis. Second, by means of regression analysis of ex- periment data, the prediction model of grey correlation degree and technological parameters was developed. Accordingly, the variation of material removal rate, tool life, the depth of residual stress layer and grey correlation degree resulted from the various technological parameter were studied. Further, the optimization scheme of technological parameter was put forward. Finally, the technological parameters were optimized with response surface methodology. And then, the disc-milling grooving experiment was carried out. The experiment results showed that material removal rate can be improved significantly under the condition of meeting the request of tool life and the depth of residual stress layer.

关 键 词：盘铣开槽 灰色关联度 参数优化 材料去除率 刀具寿命 

分 类 号：TH16[机械工程—机械制造及自动化]