Parameters Optimization and Prediction by Response Surface Method in Drilling Axial Force Test of 45CrNiSiMnMoVA Steel
In order to evaluate the drilling performance of domestic 45CrNiSiMnMoVA steel,the axial drilling force was selected to evaluate the tool wear degree and the influencing factors of surface quality,and the corresponding regression analysis model was established according to the main effect and interaction effect of each parameter.The experimental results show that the axial force decreases when the spindle speed increases,and the friction coefficient becomes smaller and the axial force decreases.When the feed was gradually increased,the axial force continued to increase,and the feed speed of 25mm/min ensured a small cutting force,thus achieving a significant improvement in machining efficiency.There is no direct correlation between axial force and stepping quanti-ty.The quadratic polynomial was used to predict the model,and the significance test result was close to 1,indicating that the model had excellent fitting performance.The error of axial force is within 5N,and the error of removal rate is within 2mm2∙min-1,indicat-ing that the prediction model can meet the reliability requirements.
DrillingAxial Force45CrNiSiMnMoVA SteelResponse Surface MethodParameter OptimizationPrediction Model
NETL
NSTL
万方数据
维普
