Local Directional Fractal Signature Method for Surface Texture Analysis

被引:1
作者
Wolski, Marcin [1 ]
Woloszynski, Tomasz [1 ]
Podsiadlo, Pawel [1 ]
Stachowiak, Gwidon W. [1 ]
机构
[1] Curtin Univ, Sch Civil & Mech Engn, Tribol Lab, GPOB U1987, Perth, WA 6845, Australia
基金
澳大利亚研究理事会;
关键词
Surface characterization; Local fractal dimension; Multiscale; Roughness; TRABECULAR BONE; ROUGHNESS; OSTEOARTHRITIS; TOPOGRAPHY; SIMULATION; WEAR;
D O I
10.1007/s11249-021-01547-2
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The detection of changes in surface texture characteristics is an important issue in manufacturing, contact mechanics, control of interactions between surfaces, machine failure analysis, and others. These changes can be detected early on when surface texture is quantified locally at each point. To this end, a new method called local directional fractal signature has recently been developed that calculates local fractal dimensions (FD = 3 - slope) at individual scales and directions. In this method, texture parameters are derived from the slopes of lines fitted to log-log plots of local surface profiles against scales, and FDs to measure local surface roughness and directionality. First, the method is tested on computer-generated isotropic fractal surfaces with the objective to evaluate its ability to differentiate between surfaces exhibiting an increasing local roughness. This follows the method application to detect the anisotropy changes in computer-generated surfaces with increasing roughness in two directions. Finally, the method's detection ability in finding differences between surfaces is evaluated. Microscopic range-images of sandblasted and abraded titanium alloy plates are used in the evaluation. This work is a further contribution to the advancement in the characterization of surface textures, the numerical tools development for the design of tribological components and the diagnosis of worn and damaged surfaces. Practical applications of the method (e.g., classification of wear images, characterization of coated and uncoated surfaces) would be reported later in the future.
引用
收藏
页数:13
相关论文
共 50 条
[31]   Fractal-based texture analysis on the SEM images of machined surfaces [J].
Quan, SH ;
Peng, J .
IMAGE MATCHING AND ANALYSIS, 2001, 4552 :129-134
[32]   FRACTAL ANALYSIS METHOD FOR ROUGHNESS PROFILE [J].
Cananau, S. ;
Zeghloul, T. .
BALTTRIB' 2009: V INTERNATIONAL CONFERENCE, PROCEEDINGS, 2009, :265-+
[33]   FRACTAL ANALYSIS OF SURFACE MICROTOPOGRAPHY AND ITS APPLICATION IN UNDERSTANDING HYDROLOGIC PROCESSES [J].
Chi, Y. ;
Yang, J. ;
Bogart, D. ;
Chu, X. .
TRANSACTIONS OF THE ASABE, 2012, 55 (05) :1781-1792
[34]   A characterization method for the physical features of honed texture surface of engine cylinder liner [J].
Zhang, Yongfang ;
Lu, Yanjun ;
Chen, Zhuo ;
Liu, Cheng ;
Zhao, Xiaowei ;
Yang, Xinliang .
TRIBOLOGY INTERNATIONAL, 2023, 186
[35]   Fractal Characterization on Surface Texture of Cylinder Liner Based on Partitioned Iterated Function System [J].
Zhang Yongfang ;
Liu Cheng ;
Jiang Cheng ;
Li Pengzhou ;
Xing Zhiguo ;
Lu Yanjun .
CHINA SURFACE ENGINEERING, 2022, 35 (01) :220-230
[36]   Polishing Behavior Analysis of Asphalt Pavement Surface Texture Based on Piecewise Variable Dimension Fractal [J].
Zhou X.-L. ;
Zhu Y.-Y. ;
Ran M.-P. ;
Xiao S.-Q. ;
Huang X.-M. .
Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2019, 32 (04) :187-195and242
[37]   Fractal analysis of nanostructured silver film surface [J].
Nasehnejad, Maryam ;
Nabiyouni, Gholamreza ;
Shahraki, Mehran Gholipour .
CHINESE JOURNAL OF PHYSICS, 2017, 55 (06) :2484-2490
[38]   Surface texture analysis of artificial disks wear-tested under different conditions and comparison to a retrieved implant [J].
Pare, Philille E. ;
Chan, Frank W. ;
Buchholz, Patrick ;
Kurtz, Steven ;
McCombe, Peter .
WEAR OF ARTICULATING SURFACES: UNDERSTANDING JOINT SIMULATION, 2006, 1472 :65-+
[39]   Fractal Analysis of Fuel Nozzle Surface Morphology Based on the 3D-Sandbox Method [J].
Li, Yeni ;
Hou, Liang ;
Chen, Yun .
MICROMACHINES, 2023, 14 (05)
[40]   Multiscale characterisation of 3D surface topography of DLC coated and uncoated surfaces by directional blanket covering (DBC) method [J].
Wolski, M. ;
Podsiadlo, P. ;
Stachowiak, G. W. ;
Holmberg, K. ;
Laukkanen, A. ;
Ronkainen, H. ;
Gee, M. ;
Nunn, J. ;
Gachot, C. ;
Li, L. .
WEAR, 2017, 388 :47-56