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作 者:常星星 于家祥 史精平 吴杰 CHANG Xingxing;YU Jiaxiang;SHI Jingping;WU Jie(Anhui Tianhang Electromechanical Co.,Ltd.,Wuhu 241000,China)
出 处:《机械工程师》2024年第9期149-152,共4页Mechanical Engineer
摘 要:针对钛合金TC6铣削加工效率低、刀具磨损严重、零件表面质量低等问题,以工件表面粗糙度为技术指标,基于响应曲面法,对加工后表面粗糙度进行模拟,建立了转速、切深及进给量与表面粗糙度之间的响应模型,分析单因素和交互项对表面粗糙度的影响规律,进而得出零件的质量相关性,通过分析加工预测模型,得出最优的组合,预测最优的参数组合在转速为850 r/min、进给量为233.99 mm/min、切削深度为0.74 mm时,粗糙度值达到0.383μm,同时通过试验进行最优组合的验证,结果表明,试验的实际值与最优组合的预测值之间的平均误差相对0.8%左右,表明数学模型所预测的目标值是可信的。验证了TC6加工表面质量预测值的可靠性,这些参数可为TC6铣削加工中工艺参数的优化以及后续表面质量的提高提供参考。Aiming at the problems of low efficiency of titanium alloy TC6 milling,serious tool wear and low surface quality of the parts,this paper takes the surface roughness of the workpiece as the technical index.Based on the response surface method,we simulate the surface roughness after machining,establish the response model among the rotational speed,the depth of cut and the amount of feed and the surface roughness.The laws of the influence of the single factor and the interaction term on the surface roughness are analyzed,which leads to the part quality correlation.By analyzing the machining prediction model,the optimal combination is derived,and the optimal combination of parameters is predicted to be the roughness value of 0.383μm when the rotational speed is 850 r/min,the feed is 233.99 mm/min,and the depth of cut is 0.74 mm.The optimal combination is also verified through experiments,and the results show that the average error between the actual value of the experiments and the predicted value of the optimal combination is relatively 0.8%,indicating that the target value predicted by the mathematical model is credible.The reliability of the predicted values of surface quality of TC6 machining is verified,and these parameters provide a reference basis for the optimization of process parameters in TC6 milling and the subsequent improvement of surface quality.
分 类 号:TH161.14[机械工程—机械制造及自动化]
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