论文部分内容阅读
利用自行研制的精密三轴联动立式铣床(300 mm×300 mm×290 mm),微径硬质合金两刃平头立铣刀(直径0.1~0.5 mm)微立铣硬铝2A12,观察微铣刀悬伸量、直径、轴向切深和每齿进给量对加工表面粗糙度的影响.表面粗糙度由激光扫描共聚焦显微镜(奥林巴斯OLS3000)测量.结果发现微径立铣刀的直径和悬伸量对表面粗糙度的影响大于轴向切深和每齿进给量.另外,在刃口半径尺寸效应的作用下,表面粗糙度并不一直随每齿进给量的减小而减小.基于响应曲面法建立了表面粗糙度的二阶预测模型,方差分析表明该模型回归显著,拟合度为97.5%,可以用于预测表面粗糙度和优化工艺参数.
Micro-milling hard aluminum 2A12 with micro-diameter carbide double edged flat end mill (diameter of 0.1 ~ 0.5 mm) was developed by using the self-developed precision three-axis vertical milling machine (300 mm × 300 mm × 290 mm) The influence of knife overhang, diameter, axial depth of cut and feed per tooth on the machined surface roughness was measured by laser scanning confocal microscope (Olympus OLS3000) Of the diameter and overhang on the surface roughness greater than the axial depth of cut and per tooth feed In addition, the effect of the edge radius size effect, the surface roughness does not always decrease with each tooth feed The second-order prediction model of surface roughness was established based on the response surface method. The analysis of variance showed that the regression model was significant. The fitting degree was 97.5%, which could be used to predict the surface roughness and optimize the process parameters.