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Ti6Al4V钛合金切削性能模拟及响应面分析 被引量:2

Simulation and Response Surface Analysis of Ti6Al4V Titanium Alloy Cutting Performance
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摘要 为保证PCD刀具的使用寿命和加工精度,提高对Ti6Al4V钛合金的加工效率,对PCD刀具精车加工Ti6Al4V钛合金进行模拟仿真分析,并通过响应面分析法计算建立切削力和刀尖温度随刀具参数(前角γ_(o)、后角α_(o)、钝圆半径r_(ε))变化的二次响应面数学模型。根据响应面模型方差分析和显著性检验证明响应面预测模型的有效性,分析PCD刀具精车加工Ti6Al4V钛合金时刀具参数对切削力和刀尖温度的影响从而获得最优刀具参数。结果表明:钝圆半径对切削力的影响最大,后角对刀尖温度的影响最大,适当增大前角、减小后角及钝圆半径能够有效降低切削力、刀尖温度;最终得出最优刀具参数组合为前角γ_(o)=12°、后角α_(o)=7°和钝圆半径r_(ε)=0.04 mm。 In order to ensure the service life and machining accuracy of PCD tool and improve the machining efficiency of Ti6Al4V titanium alloy,the simulation analysis of finishing turning Ti6Al4V titanium alloy with PCD tool was carried out,and the quadratic response surface mathematical model of cutting force and tool tip temperature changing with tool parameters such as rake angle γ_(o),rear angle α_(o) and blunt radius R_(ε),was established through response surface analysis method.According to the variance analysis and significance test of response surface model,the validity of response surface prediction model was proved.The influences of tool pa⁃rameters on cutting force and tool tip temperature were analyzed when PCD Tool finish turning Ti6Al4V titanium alloy,so the optimal tool parameters were obtained.The results show that the radius of blunt circle has the greatest influence on cutting force,the rear angle has the biggest influence on the tip temperature,and the appropriate increase of the front angle and the radius of the back and the radius of the blunt circle can effectively reduce the cutting force and the tip temperature;finally,the optimal tool parameters are the front angle γ_(o)=12°,the rear angle α_(o)=7°and the blunt circle radius r_(ε)=0.04 mm.
作者 陈舜青 董小伟 CHEN Shunqing;DONG Xiaowei(College of Mechanical Engineering,Shanghai Institute of Technology,Shanghai 201418,China)
出处 《机床与液压》 北大核心 2022年第14期146-150,共5页 Machine Tool & Hydraulics
基金 校企合作项目(J2019-236)。
关键词 Ti6Al4V钛合金切削性能 精车加工 模拟仿真 响应面模型 Ti6Al4V titanium alloy cutting performance Finish turning Simulation Response surface model
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