摘要
为了获得微磨料水射流加工参数与刀具钝化质量之间的关系,采用正交试验设计方法进行刀具钝化试验研究。利用MikroCAD三维光学测量仪,可以获得刀具表面微观结构和切削刃刃口钝圆半径。基于多元逐步回归分析法,建立刀具钝化表面粗糙度的预测模型,选择射流压力、横移速度、磨料流量、磨料粒度、靶距作为模型变量。利用方差分析和F检验验证回归模型的有效性以及确定影响表面粗糙度的钝化参数,实现微磨料水射流钝化参数的优化。研究结果表明,磨料流量是钝化表面粗糙度最主要的影响因素,预测模型的最大相对误差仅为7.55%。
In order to obtain the relationship between the preparation parameters using micro abrasive waterjet and the preparation quality of tool edge, orthogonal design was applied to study the test results of the tool preparation process. The microstructure and the radius of cutting edge roundness were obtained using Mikro- CAD optical 3D measurement system. Multiple factors and stepwise regression equation were established to predict surface roughness of tool preparation based on micro abrasive water jet machining process. The pa- rameters such as water jet pressure, traverse speed, abrasive flow rate, abrasive grit size and standoff distance were considered as model variables. The effectiveness of the regression model was verified and the in- fluence of preparation parameters on surface roughness was confirmed using analysis of variance and F - test. The optimization of preparation parameters were realized. The result indicates that abrasive flow rate was an utmost parameter on preparation surface roughness. The maximum relative error of predictive model is 7.55%.
出处
《组合机床与自动化加工技术》
北大核心
2014年第1期31-34,共4页
Modular Machine Tool & Automatic Manufacturing Technique
基金
四川省科技厅项目资助(2011JYZ017)
西华大学研究生创新基金资助(ycjj201340)
关键词
微磨料水射流
刀具钝化
表面粗糙度
刃口圆角半径
回归分析
micro abrasive water jet
tool edge preparation
surface roughness
tool edge radius
regression analysis
