钛合金盘铣振动模型预测及工艺参数优化

Vibration Model Prediction and Technological Parameter Optimization in Disc-milling of Titanium Alloy

盘铣因其铣削力大和铣削效率高等特点被广泛应用于机械加工领域,但有关盘铣钛合金方面的研究相对较少。本文针对盘铣振动模型预测及工艺参数优化进行了钛合金盘铣开槽试验,采用信噪比试验设计法和响应曲面法进行主轴转速、切削深度和进给速度对振动加速度的影响规律分析。各因素对加速度的影响程度依次为切削深度>进给速度>主轴转速。采用信噪比试验设计法和线性回归技术建立振动加速度预测模型,根据预测结果与试验结果可知,两者误差较小,预测模型精度较高。

Disc-milling is used in manufacturing because of its strong cutting force and high machining efficiency.But the research report on cutting mechanism of disc milling titanium alloy is still lack in literature.In this study,the vibration model prediction and technological parameters optimization are studied through grooving experiment of titanium alloy with disc milling.Based on S/N-ratio experimental design and response surface analysis,the effect of spindle speed,depth of cut,feed rate on vibration acceleration is investigated.It is found that the influencing degree of each factor on the vibration acceleration is depth of cut>feed speed>spindle speed respectively.A polybasic linear regression model about vibration acceleration is established by S/N-ratio experimental design and linear regression technology.The predicted value of the two prediction models and the tested value are approximated,which shows that the prediction effect is good.