铣削钛合金加工表面形貌特征参数的预测
2020-02-18
作者：李雅青1，赵培轶2，姜彬2，于昕3
单位：1太原工业学院；2哈尔滨理工大学；3东莞创机电业制品有限公司
摘要：钛合金在铣削过程中受迫振动明显，刀—工接触关系不断变化，加工表面形貌特征参数难以预测，已成为制约加工表面质量进一步提高的瓶颈。针对铣削振动与加工表面形貌的非线性随机变化特性进行了切削钛合金试验，采用高斯过程回归法构建铣削振动作用下的加工表面形貌高斯过程模型。分析刀齿误差和铣削振动对加工表面形貌特征参数的影响规律，为以加工表面质量分布一致性为前提的铣削钛合金工艺设计提供参考依据。
关键词：钛合金；铣削振动；加工表面形貌；高斯过程回归；预测模型
中图分类号：TG166.5；TG714；TH161文献标志码：ADOI：10.3969/j.issn.1000-7008.2020.01.008
Prediction Study on Surface Topography Distribution of Milling Titanium Alloy
Li Yaqing，Zhao Peiyi，Jiang Bin，Yu Xin
Abstract:Titanium alloy material has low stability during cutting process，the forced vibration of the tool and workpiece is obvious.The contact relationship of the cutter is changed at any time，resulting in low consistency of the surface topography distribution，which is a constraint to further improve the quality of the machined surface.bottleneck.In this work，the titanium alloy experiment is carried out.According to the nonlinear random variation characteristics of milling vibration and machined surface topography，the Gaussian process regression method is used to construct the Gaussian process model of machining surface topography under milling vibration.The influence of tool tooth error and milling vibration on the surface profile distribution of machining surface is provided the basic model for milling width，tool tooth error design and tool flank wear and milling vibration control.
Keywords:titanium alloy；milling vibration；machined surface topography；Gaussian process regression