Theoretical and experimental analysis of nano-surface generation in ultra-precision raster milling

被引:58
作者
Cheng, M. N. [1 ]
Cheung, C. F. [1 ]
Lee, W. B. [1 ]
To, S. [1 ]
Kong, L. B. [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Ind & Syst Engn, Adv Opt Mfg Ctr, Kowloon, Hong Kong, Peoples R China
关键词
cutting mechanics; optimization; nano-surface generation; ultra-precision raster milling; surface roughness; ultra-precision machining;
D O I
10.1016/j.ijmachtools.2008.02.006
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The fabrication of high-quality freeform surfaces is based on ultra-precision raster milling, which allows direct machining of the freeform surfaces with sub-micrometric form accuracy and nanometric surface finish. Ultra-precision raster milling is an emerging manufacturing technology for the fabrication of high-precision and high-quality components with a surface roughness of less than 10 nm and a form error of less than 0.2 mu m without the need for any additional post-processing. Moreover, the quality of a raster milled surface is based on a proper selection of cutting conditions and cutting strategies. Due to different cutting mechanics, the process factors affecting the surface quality are more complicated, as compared with ultra-precision diamond turning and conventional milling, such as swing distance and step distance. This paper presents a theoretical and experimental analysis of nano-surface generation in ultra-precision raster milling. Theoretical models for the prediction of surface roughness are built. An optimization system is established based on the theoretical models for the optimization of cutting conditions and cutting strategy in ultra-precision raster milling. A series of experiments have conducted and the results show that the theoretical models predict well the trend of the variation of surface roughness under different cutting conditions and cutting strategies. (c) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1090 / 1102
页数:13
相关论文
共 35 条
[1]   Prediction of tool life in end milling by response surface methodology [J].
Alauddin, M ;
ElBaradie, MA ;
Hashmi, MSJ .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1997, 71 (03) :456-465
[2]   Optimization of feedrate in a face milling operation using a surface roughness model [J].
Baek, DK ;
Ko, TJ ;
Kim, HS .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2001, 41 (03) :451-462
[3]   Selection of optimal machining parameters for multi-tool milling operations using a memetic algorithm [J].
Baskar, N. ;
Asokan, P. ;
Saravanan, R. ;
Prabhaharan, G. .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2006, 174 (1-3) :239-249
[4]   Feedrate optimization and tool profile modification for the high-efficiency ball-end milling process [J].
Chen, JSB ;
Huang, YK ;
Chen, MS .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2005, 45 (09) :1070-1076
[5]   A theoretical and experimental investigation of surface roughness formation in ultra-precision diamond turning [J].
Cheung, CF ;
Lee, WB .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2000, 40 (07) :979-1002
[6]   Characterisation of nanosurface generation in single-point diamond turning [J].
Cheung, CF ;
Lee, WB .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2001, 41 (06) :851-875
[7]   CALCULATION BY CONVEX MATHEMATICAL PROGRAMMING OF OPTIMUM CUTTING CONDITION WHEN CYLINDRICAL MILLING [J].
DRAGHICI, G ;
PALTINEA, C .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 1974, 14 (02) :143-160
[8]   Optimization of CNC ball end milling: a neural network-based model [J].
El-Mounayri, H ;
Kishawy, H ;
Briceno, J .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2005, 166 (01) :50-62
[9]   APPLICATION OF 3 NONLINEAR-PROGRAMMING TECHNIQUES IN OPTIMIZING MACHINING CONDITIONS [J].
ESKICIOGLU, AM ;
ESKICIOGLU, H .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 1992, 206 (03) :183-189
[10]   Influence of radial and axial runouts on surface roughness in face milling with round insert cutting tools [J].
Franco, P ;
Estrems, M ;
Faura, F .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2004, 44 (15) :1555-1565