机床与液压
機床與液壓
궤상여액압
MACHINE TOOL & HYDRAULICS
2013年
3期
34-37
,共4页
平面磨削%表面粗糙度%正交试验%回归设计技
平麵磨削%錶麵粗糙度%正交試驗%迴歸設計技
평면마삭%표면조조도%정교시험%회귀설계기
Plane grinding%Surface roughness%Orthogonal test%Regression design technique
以砂轮转速、工件速度、磨削深度及砂轮粒度作为试验因素并各取三水平,选用标准正交表进行平面磨削实验,并利用回归设计技术建立了表面粗糙度的二次回归预测模型.利用F检验和决定系数r2对预测模型进行了检验,得到回归预测模型的显著性水平为0.01,决定系数r2为0.964,表明其回归效果及回归方程的拟合度良好.
以砂輪轉速、工件速度、磨削深度及砂輪粒度作為試驗因素併各取三水平,選用標準正交錶進行平麵磨削實驗,併利用迴歸設計技術建立瞭錶麵粗糙度的二次迴歸預測模型.利用F檢驗和決定繫數r2對預測模型進行瞭檢驗,得到迴歸預測模型的顯著性水平為0.01,決定繫數r2為0.964,錶明其迴歸效果及迴歸方程的擬閤度良好.
이사륜전속、공건속도、마삭심도급사륜립도작위시험인소병각취삼수평,선용표준정교표진행평면마삭실험,병이용회귀설계기술건립료표면조조도적이차회귀예측모형.이용F검험화결정계수r2대예측모형진행료검험,득도회귀예측모형적현저성수평위0.01,결정계수r2위0.964,표명기회귀효과급회귀방정적의합도량호.
@@@@The optimum plane grinding conditions were selected by standard orthogonal test at three different levels of four test factors:rotation speed of grinding wheel,speed of work piece,grinding depth and granularity of grinding wheel. Moreover a quadrat-ic regression model for prediction of surface roughness was established by regression design technique. The prediction model was evalu-ated by F test and determination coefficient r2 ,and obtained marked level at 0. 01,the r2 at 0. 964 for the regression predication mod-el. The results show the model has a high degree of regression effect and fitting for regression equation.
