A unified prediction model of 3D surface topography in face milling considering multi-error sources
A unified prediction model of 3D surface topography in face milling considering multi-error sources
复制标题
考虑多误差源的面铣3D表面形貌统一预测模型
DOI：
10.1007/s00170-018-03212-w
复制
发表时间：
2019-05
影响因子：
3.4
通讯作者：
Chen Kun
中科院分区：
文献类型：
--
作者：
Jin Sun;Liu Shun;Zhang Xueping;Chen Kun
表面形貌在三维空间中表征加工表面误差，是评价面铣加工表面质量的一种综合方法。针对大直径多齿面铣刀铣削加工过程中存在的多种误差源，提出了一种三维加工表面形貌预测的统一仿真模型。在该模型中，最终的加工表面形貌描述与高度编码和位置保持的彩色表面图像，由多尺度误差。它是从每个编码接触位置处的剩余表面高度的点云导出的。该模型考虑了铣削参数、各种初始装夹误差以及机床-工件-夹具系统的过程静动态特性的影响。通过梁单元介绍了刀片几何结构对粗糙度尺度的影响。提出了一种基于仿真模型的点云生成算法，该算法综合考虑了各影响因素的影响。通过铣削实验对所提出的仿真模型进行了验证和研究。模拟结果与实验结果的比较表明，良好的协议。该模型还可用于研究多误差源耦合和分别耦合时的形貌特征。从而为面铣加工表面形貌的预测及多误差源引起的表面形貌变化规律的预测提供了一种综合性的方法。
Surface topography, which represents machined surface errors in 3D space, is a comprehensive way to estimate surface quality in face milling. This paper presents a unified simulation model for the prediction of 3D machined surface topography considering multiple error sources in face milling with multi-tooth cutter that has large diameter. In this model, the final machined surface topography is described with a height-encoded and position-maintained colorful surface image that consists of multi-scale errors. It is derived from a point cloud of residual surface height at each encoding contact location. The model includes the effects of milling parameters, different kinds of initial setup errors, and process static/dynamic characteristics of machine tool-workpiece-fixture system. The influences of inserts’ geometric structures on roughness scale are also introduced through beam elements. A numerical algorithm is proposed to obtain the resultant point cloud based on the simulation model integrating with all the effects of influence factors. Face milling experiments are conducted to validate and investigate the proposed simulation model. Comparisons between simulated and experimental results show good agreement. And the proposed model can also be applied to investigate the topography patterns induced by multiple error sources coupled and respectively. Thus provides a comprehension methodology to predict machined surface topography and the resultant topography patterns induced by multi-error sources in face milling for its industry implementation.
登录
查看更多内容
DOI：
10.1007/s00170-017-1417-4
发表时间：
2019-02-01
影响因子：
3.4
作者：
Ghosh, Gourhari;Mandal, Prosun;Mondal, Subhas Chandra
通讯作者：
Mondal, Subhas Chandra
DOI：
10.1016/j.procir.2015.03.075
发表时间：
2015
期刊：
Procedia CIRP
影响因子：
--
作者：
C. Felhő;B. Karpuschewski;J. Kundrák
通讯作者：
C. Felhő;B. Karpuschewski;J. Kundrák
DOI：
10.1007/s00170-013-5347-5
发表时间：
2014-02
期刊：
The International Journal of Advanced Manufacturing Technology
影响因子：
--
作者：
H. T. Nguyen;Hui Wang;S. Jack Hu
通讯作者：
H. T. Nguyen;Hui Wang;S. Jack Hu
DOI：
10.1007/s00170-007-1001-4
发表时间：
2006-06
期刊：
The International Journal of Advanced Manufacturing Technology
影响因子：
--
作者：
S. Lavernhe;C. Tournier;C. Lartigue
通讯作者：
S. Lavernhe;C. Tournier;C. Lartigue
DOI：
10.1016/j.ijmachtools.2004.06.005
发表时间：
2004-12
影响因子：
14
作者：
H. Paris;G. Peigné;R. Mayer
通讯作者：
H. Paris;G. Peigné;R. Mayer