无氧铜超精加工表面微观形貌的分形维数表征<sup>*</sup>

doi:10.11896/j.issn.1005-023X.2017.03.009

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Abstract Nano-scale surface of low roughness can be obtained in single point diamond ultra-precision machining. Further experiments show that clear embossed grain boundary will appear on the machined surface filled with tool marks when annealed oxygen-free copper cut by single point diamond ultra-precision machining. Ultra-precision machined surface′s microtopography with embossed grain boundary can not be effectively characterized and distinguished with traditional concept of roughness. In this work, the concept of fractal dimension was introduced and yard stick method was used to calculate fractal dimension of surface microtopography of ultra-precision machined oxygen-free copper. In order to reduce interference of tool marks signal and extrude information of embossed grain boundary, band-stop filter method was designed. The results showed that the surface fractal dimension and embossed grain boundary could be obtained on the surface after ultra-precision machining, but due to the similar size scale, the difference could not be distinguished by traditional roughness measurement. By coupling band-stop filtering and yard stick method, the feature of embossed grain boundary could be effectively identified, and which could reflect the microscopic, characteristic information of ultra-precision machined surface′s topography quantitatively.

Key words： fractal dimension grain boundary step yard stick method band-stop filtering single point diamond turning

Published: 10 February 2017 Online: 2018-05-02

CLC number:

TH161+.14

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	Articles by authors
	YANG Yang
	WANG Gang
	YU Jianchao
	ZHOU Tingting
	LI Yao
	SHUAI Maobing

Cite this article:

YANG Yang,WANG Gang,YU Jianchao, et al. Fractal Dimension Characterization on Surface Microtopography of Ultra-precision Machined Oxygen-free Copper[J]. Materials Reports, 2017, 31(3): 52-56.

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https://www.mater-rep.com/EN/10.11896/j.issn.1005-023X.2017.03.009 OR https://www.mater-rep.com/EN/Y2017/V31/I3/52

1 Liang Yingchun, Chen Guoda, Sun Yazhou, et al. Research status and outlook of ultra-precision machine tool[J]. J Harbin Institute of Technology,2014,46(5):28(in Chinese).
梁迎春,陈国达,孙雅洲,等.超精密机床研究现状与展望[J].哈尔滨工业大学学报,2014,46(5):28.
2 Xiong R, Wu H. Study on cutting mechanism of Ti₆Al₄V in ultra-precision machining[J]. Int J Adv Manuf Technol,2016,86(5):1311.
3 Yuan Julong, Zhang Feihu, Dai Yifan, et al. Development research of science and technologies in ultra-precision machining field[J]. J Mech Eng,2010,46(15):161(in Chinese).
袁巨龙,张飞虎,戴一帆,等.超精密加工领域科学技术发展研究[J].机械工程学报,2010,46(15):161.
4 Nomura M, Ma B X, Horiuchi O, et al. Study on machining accuracy in micro-endmilling[J]. Key Eng Mater,2012,516:349.
5 Weule H, Hüntrup V, Tritschler H. Micro-cutting of steel to meet new requirements in miniaturization[J]. CIRP Ann: Manuf Tech-nol,2001,50(1):61.
6 Zhou Jun, Li Jianfeng, Sun Jie.The influence of tool edge radius on size effect in orthogonal micro-cutting process of 7050-T7451 aluminum alloy[J]. Key Eng Mater,2008,375-376:31.
7 Tauhiduzzaman M, Veldhuis S C. Effect of material microstructure and tool geometry on surface generation in single point diamond tur-ning[J]. Precis Eng,2014,38(3):481.
8 Lee Y, Chang A K, Dornfeld D A. Acoustic emission monitoring for the diamond machining of oxygen-free high-conductivity copper[J]. J Mater Process Technol,2002,127(2):199.
9 Wang Hao. Factors affecting quality of ultra-precision diamond cutting[J]. New Technol New Process,2014(1):116(in Chinese).
王昊.影响单点金刚石切削表面质量的因素[J].新技术新工艺,2014(1):116.
10 Liu Zongchang, Ji Yunping, Ren Huiping. Discoveries in research on solid-state phase transformation [J]. Heat Treat,2015(2):1(in Chinese).
刘宗昌,计云萍,任慧平.固态相变研究的新发现[J].热处理,2015(2):1.
11 Mandelbrot B B. Stochastic models for the Earth′s relief the shape and the fractal dimension of the coastlines, and the number-area rule for islands[J]. PNAS,1975,72(10):3825.
12 Wang Qiuyan, Liang Zhiqiang, Wang Xibin, et al. Research on fractal behavior of surface topography in precision grinding of monocrystal sapphire[J]. J Mech Eng,2015(19):174(in Chinese).
王秋燕,梁志强,王西彬,等.蓝宝石单晶精密磨削表面形貌的分形行为研究[J].机械工程学报,2015(19):174.
13 Liu Ting, Xu Zongwei, Cao Kexiong, et al. Experimental research on cutting force characteristics and surface quality in micro-milling[J]. Nanotechnol Precis Eng,2015(4):258(in Chinese).
刘婷,徐宗伟,曹克雄,等.微铣削切削力特性及表面质量的实验研究[J].纳米技术与精密工程,2015(4):258.
14 Zhang Meiyun, Jiang Ming, Lu Zhaoqing, et al. Characterization of structure and properties of para-phenylene terephthalamide paper-based composites by fractal dimension[J]. Polym Mater Sci Eng,2015(4):96(in Chinese).
张美云,江明,陆赵情,等.分形维数对芳纶纸基材料结构和性能的表征[J].高分子材料科学与工程,2015(4):96.
15 Kaczor A A, Guixà-González R, Carrió P, et al. Fractal dimension as a measure of surface roughness of G protein-coupled receptors: Implications for structure and function[J]. J Mol Modeling,2012,18(18):4465.
16 Zhuravel′ I M, et al. Measurement of the mean grain size in a metal by using fractal dimensions[J]. Mater Sci,2010,46(3):418.
17 Yexue L I, et al. Developments in calculation theory of fractal dimension of rough surface[J]. Adv Math,2012,41(4):397.
18 Zhao Haiying, Yang Guangjun, Xu Zhengguang. Comparison of calculation methods-based image fractal dimension[J]. Computer Syst Appl,2011,20(3):238(in Chinese).
赵海英,杨光俊,徐正光.图像分形维数计算方法的比较[J].计算机系统应用,2011,20(3):238.
19 Peng Xin, Zhang Yuwei, Qi Wei, et al. Fractal analysis of proteins based on box dimension[J]. Acta Chim Sin,2010(11):1143(in Chinese).
彭鑫,张雨薇,齐崴,等.基于盒维数原理计算蛋白质的分形维数[J].化学学报,2010(11):1143.
20 Kilmister C W, Mandelbrot B B. Fractals: Form, chance and dimension[J]. Math Gazette,1978,62(420):72.