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作 者:王莹[1] 王鹏[1] 张康智[1] 李逸仙 王晋鹏 WANG Ying;WANG Peng;ZHANG Kang-zhi;LI Yi-xian;WANG Jin-peng(Xi′an Aeronautical Institute,Xi′an 710077,China)
机构地区:[1]西安航空学院,西安710077
出 处:《价值工程》2024年第35期120-123,共4页Value Engineering
基 金:西安市科技计划项目“基于表面形貌仿真预测的7系铝合金高速侧铣参数多目标优化”(No.22GXFW0052);陕西省教育厅专项科研计划项目“基于云理论的短碳纤维增强复合材料磨削表面质量量化表征”(No.21JK0703);西安航空学院校级科研基金项目“纳米多孔铜复合电极非线性分形体系及电化学特征研究”(No.2020KY0211)。
摘 要:本文针对航空铝合金高速铣削加工件表面形貌进行预测,采用Simulink搭建了刀具振动系统数学模型,采用MATLAB对刀具运动轨迹进行复刻,经仿真计算获得了加工表面的三维表面形貌,并在软件中计算出表面粗糙度。通过改变主轴转速、径向切削深度、进给速度等切削参数,完成实验加工并检测表面形貌及表面粗糙度。结果表明,主轴转速为16000r/min,进给速度为1340mm/min,径向切深为1mm时表面质量最佳,表面粗糙度值最小,且预测误差也最小为4.1%,同时加工件显微形貌与预测的表面形貌基本保持一致。This article focuses on predicting the surface morphology of aviation aluminum alloy high-speed milling parts.A mathematical model of the tool vibration system was built by using Simulink,and the tool motion trajectory was replicated by using MATLAB.The three-dimensional surface morphology of the machined surface was obtained through simulation calculation,and the surface roughness was calculated in the software.By changing cutting parameters such as spindle speed,radial cutting depth,and feed rate,experimental machining is completed and surface morphology and roughness are detected.The results showed that when the spindle speed was 16000r/min,the feed rate was 1340mm/min,and the radial cutting depth was 1mm,the surface quality was optimal,the surface roughness value was the smallest,and the prediction error was also the smallest at 4.1%.At the same time,the microstructure of the machined part was basically consistent with the predicted surface morphology.
分 类 号:TG54[金属学及工艺—金属切削加工及机床]
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