基于响应面法AerMet100超高强度钢钻削预测与优化试验研究

为了在实际钻削加工中,获得更优加工表面质量,减小刀具磨损的同时提高加工效率,使用响应面法对AerMet100超高强度钢进行钻削加工轴向力预测和优化研究,通过中心组合设计试验结果建立预测模型并进行模型显著性分析和参数交互回归分析,以研究各加工参数(主轴转速、进给速度以及步进量)改变对轴向力的变化影响规律,并对最优方案进行试验验证。研究表明:预测模型较为显著且拟合程度较高,失拟项不显著;主轴转速与进给速度及其二次项相对于步进量和各参数交互项对轴向力影响更为显著;试验验证预测模型相对误差较小,证明预测模型较为可靠。

Experimental Study on Prediction and Optimization of Drilling for AerMet100 Ultra High Strength Steel Based on Response Surface Method

In order to in the actual drilling process, obtain better processing surface quality, reduce the tool wear and improve the efficiency of processing, using the response surface method for drilling AerMet100 ultra-high strength steel processing axial force prediction and optimization research, the prediction model is set up by central composite design experimental results and model significant interaction analysis and parameters regression analysis, to study the processing parameters (spindle speed n, feed speed vf and stepped size P) change regularity of influence on the variation of axial force and the test for the optimal solution. The results show that the prediction model is more significant and the fitting degree is higher, and the missing fitting term is not significant. Spindle speed n,feed speed vf and their quadratic terms have more significant influence on axial force than stepping quantity P and interaction terms of various parameters. The relative error of the prediction model is small and the prediction model is reliable.