Journal of Central South University

, Volume 21, Issue 11, pp 4150–4156 | Cite as

Choice of reference surfaces for machined surface roughness in milling of SiCp/Al composites

  • Yang-jun Wang (王阳俊)
  • Hai-bo Huang (黄海波)
  • Li-guo Chen (陈立国)
  • Li-ning Sun (孙立宁)
Article
First Online:
Received:
Accepted:

Abstract

In order to choose the appropriate reference surface on the machined surface roughness of SiCp/Al composites, the cutting experiments of SiCp/Al composites were carried out, and the machined surface topography was measured by OLS3000 Confocal laser scanning microscope. The 3D measured data of machined surface topography were analyzed by the area power spectrum density. The result shows that the texture of machined surface topography in milling of SiCp/Al composites is almost isotropic. This is the reason that the values of R q at different locations on the same machined surface are obviously different. Through the comparison of performance of different filtering methods, the robust least squares reference surface can be used to extract the surface roughness of SiCp/Al composites effectively.

Key words

SiCp/Al composites surface topography milling filtering method power spectrum density 
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References

  1. [1]
    DANDEKAR C R, SHIN Y C. Multi-step 3-D finite elemen modeling of subsurface damage in machining particulate reinforced metal matrix composites [J]. Composites: Part A, 2009, 40: 1231–1239.CrossRefGoogle Scholar
  2. [2]
    DANDEKAR C R, SHIN Y C. Modeling of machining of composite materials: A review [J]. International Journal of Machine Tools & Manufacture, 2012, 57: 102–121.CrossRefGoogle Scholar
  3. [3]
    SCHUBERT A, NESTLER A. Enhancement of surface integrity in turning of particle reinforced aluminium matrix composites by tool design [J]. Procedia Engineering, 2011, 19: 300–305.CrossRefGoogle Scholar
  4. [4]
    GE Ying-fei, XU Jiu-hua, YANG Hui. Diamond tools wear and their applicability when ultra-precision turing of SiCp/2009Al matrix composite [J]. Wear, 2010, 269: 699–708.CrossRefGoogle Scholar
  5. [5]
    MANESH K K, RAMAMOORTHY B, SINGAPERUMAL M. Numerical generation of anisotropic 3D non-Gaussian engineering surfaces with specified 3D surface roughness parameters [J]. Wear, 2010, 268(11/12): 1371–1379.CrossRefGoogle Scholar
  6. [6]
    GE Y F, XU J H, YANG H, LUO S B, FU Y C. Workpiece surface quality when ultra-precision turning of SiCp/Al composites [J]. Journal of Materials Processing Technology, 2008, 203: 166–175.CrossRefGoogle Scholar
  7. [7]
    HARA S, TSUKADA T, SASAJIMA K. An in-line digital filtering algorithm for surface roughness profiles [J]. Precision Engineering, 1998, 22(4): 190–195.CrossRefGoogle Scholar
  8. [8]
    YUAN B Y, QIANG X F, SONG J F, VORBURGER T V. A fast algorithm for determining the Gaussian filtered mean line in surface metrology [J]. Precision Engineering, 2000, 24(1): 62–69.CrossRefGoogle Scholar
  9. [9]
    BRINKMANN S, BODSCHWINNA H, LEMKE H W. Accessing roughness in three-dimensions using Gaussian regression filtering [J]. International Journal of Machine Tools and Manufacture, 2001, 41(13/14): 2153–2161.CrossRefGoogle Scholar
  10. [10]
    LI Hui-fen, CHEUNG C F, JIANG Xiang-qian, LE W B, TO S. A novel robust Gaussian filtering method for the characterization of surface generation in ultra-precision machining [J]. Precision Engineering, 2006, 30(4): 421–430.CrossRefGoogle Scholar
  11. [11]
    NUMADA M, NOMURA T, KAMIYA K, TASHIRO H, KOSHIMIZU H. Filter with variable transmission characteristics for determination of three-dimensional roughness [J]. Precision Engineering, 2006, 30(4): 431–442.CrossRefGoogle Scholar
  12. [12]
    SUH A Y, POLYCARPOU A A. Digital filtering methodology used to reduce scale of measurement effects in roughness parameters for magnetic storage supersmooth hard disks [J]. Wear, 2006, 260(4/5): 538–548.CrossRefGoogle Scholar
  13. [13]
    DOBRZANSKI P, PAWLUS P. Digital filtering of surface topography: Part I. Separation of one-process surface roughness and waviness by Gaussian convolution, Gaussian regression and spline filters [J]. Precision Engineering, 2010, 34(3): 647–650.CrossRefGoogle Scholar
  14. [14]
    DOBRZANSKI P, PAWLUS P. Digital filtering of surface topography: Part II. Applications of robust and valley suppression filters [J]. Precision Engineering, 2010, 34(3): 651–658.CrossRefGoogle Scholar
  15. [15]
    WANG Zhong-yu, MENG Hao, FU Ji-hua. Novel method for evaluating surface roughness by grey dynamic filtering [J]. Measurement, 2010, 43(1): 78–82.CrossRefGoogle Scholar

Copyright information

© Central South University Press and Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Yang-jun Wang (王阳俊)
    • 1
  • Hai-bo Huang (黄海波)
    • 1
  • Li-guo Chen (陈立国)
    • 1
  • Li-ning Sun (孙立宁)
    • 1
  1. 1.Robotics and Microsystems, College of Mechanical and Electrical Engineering & Collaborative Innovation Center of Suzhou Nano Science and TechnologySoochow UniversitySuzhouChina

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