Characterisation of surface micro-topography by power spectral density in high speed precision planar milling of SiCp/Al composite

被引：0

作者：

Wang Y.-J. ^{[1
,2
]}

Zhou M. ^{[1
]}

Zhao Y.-H. ^{[1
]}

机构：

[1] School of Mechanical and Electrical Engineering, Harbin Institute of Technology

[2] School of Light Industry, Harbin University of Commerce

来源：

International Journal of Nanomanufacturing | 2011年 / 7卷 / 5-6期

关键词：

Gaussian filtering method; High speed precision planar milling; Micro-topography; Power spectral density; SiCp/Al composites; The least square fitting method; Three-dimensional root-mean-square deviation;

D O I：

10.1504/IJNM.2011.043681

中图分类号：

学科分类号：

摘要：

This paper presents an experimental study in high speed precision planar milling of SiCp/Al composites. Machining tests were carried out on a high speed milling machine (ops 650) by using chemical vapour deposition (CVD) diamond-coated tools. The surface micro-topography was tested by the OLS3000 confocal laser scanning microscope. The Gaussian filtering method and the least square fitting method were used to treat the measured results. Two methods are compared according to the effect on keeping important original character of the machined surface, as original character of the machined surface such as surface defects affect the surface micro-topography seriously. The treated surface data was analysed using the method of power spectral density. The three-dimensional root-mean-square deviation of the surface Sq was also calculated. The results showed that the least square fitting method is suitable due to its good accordance to the original characters of the surface. Cutting speed is found to be the main factor affecting the value of power spectral density and three-dimensional roughness parameter, while both feed rate and depth of cut have little effect on them. © 2011 Inderscience Enterprises Ltd.

引用

页码：436 / 447

页数：11

共 10 条

[1]

Brinkmann S., Bodschwinna H., Lemke H.-W., Accessing roughness in three-dimensions using Gaussian regression filtering, International Journal of Machine Tools and Manufacture, 41, 13-14, pp. 2153-2161, (2001)

[2]

Davim J.P., Diamond tool performance in machining metal matrix composites, Journal of Materials Processing Technology, 128, pp. 100-105, (2002)

[3]

Ding X., Liew W.Y.H., Liu X.D., Evaluation of machining performance of MMC with PCBN and PCD tools, Wear, 259, 7-12, pp. 1225-1234, (2005)

[4]

Dong W.P., Mainsail E., Stout K.J., Reference planes for the assessment of surface roughness in three dimensions, Int. J. Mach. Tools Manufact., 35, 2, pp. 263-271, (1995)

[5]

Itoh T., Yamauchi N., Surface morphology characterization of pentacene thin film and its substrate with under-layers by power spectral density using fast Fourier transform algorithms, Applied Surface Science, 253, 14, pp. 6196-6202, (2007)

[6]

Manna A., Bhattacharayya B., A study on machinability of al/SiC-MMC, Journal of Materials Processing Technology, 140, pp. 711-716, (2003)

[7]

Munetoshi N., Takashi N., Kazuhide K., Hatsuzo T., Hiroyasu K., Filter with variable transmission characteristics for determination of three-dimensional roughness, Precision Engineering, 30, pp. 431-442, (2006)

[8]

Senthilkumar M., Sahoo N.K., Thakur S., Tokas R.B., Characterization of microroughness parameters in gadolinium oxide thin films: A study based on extended power spectral density analyses, Applied Surface Science, 252, 5, pp. 1608-1619, (2005)

[9]

Xie H.C., Chen D.R., Kong X.M., An analysis of the three-dimensional surface topography of textured cold-rolled steel sheets, Tribology International, 132, pp. 83-87, (1999)

[10]

Yuana Y.B., Qianga X.F., Songb J.F., Vorburgerb T.V., A fast algorithm for determining the Gaussian filtered mean line in surface metrology, Precision Engineering, 24, pp. 62-69, (2000)

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