Comparative study of surface roughness with power spectral density and multifractal spectrum

2007 ◽  
Author(s):  
Shuyi Gan ◽  
Qing Zhou ◽  
Yilin Hong ◽  
Xiangdong Xu ◽  
Ying Liu ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Comparative Study ◽  
Spectral Density ◽  
Power Spectral Density ◽  
Multifractal Spectrum ◽  
Power Spectral

Corrected power spectral density of the surface roughness of tire rubber sliding on abrasive material

2021 ◽  
Vol 153 ◽  
pp. 106632
Author(s):  
Hiro Tanaka ◽  
Kenta Okui ◽  
Yuki Oku ◽  
Hironori Takezawa ◽  
Yoji Shibutani
Keyword(s):  
Surface Roughness ◽  
Spectral Density ◽  
Power Spectral Density ◽  
Abrasive Material ◽  
Tire Rubber ◽  
Power Spectral

The Effect of Up-Cutting and Down-Cutting Directions on Materials Swelling in Ultra-Precision Raster Milling

2006 ◽  
Vol 532-533 ◽  
pp. 697-700 ◽  
Author(s):  
Ming Chu Kong ◽  
Wing Bun Lee ◽  
Chi Fai Cheung ◽  
Suet To
Keyword(s):  
Surface Roughness ◽  
Spectral Density ◽  
Power Spectral Density ◽  
Surface Finish ◽  
Copper Alloys ◽  
Cutting Conditions ◽  
Power Spectral ◽  
Ultra Precision ◽  
Important Means ◽  
Cutting Direction

The influence of materials swelling across the steps on surface roughness under up-cutting and down-cutting direction in ultra-precision raster milling was investigated. The normalized extent of swelling is characterized by a swelling significance index, defined based on the power spectral density of the roughness profile. Materials swelling was found to be significant in ultra-precision raster milling, especially when copper alloys machined in the up-cutting direction. The findings in the present study provide an important means for improving the surface finish of the raster-milled surfaces and optimizing the cutting conditions.

Surface roughness and power spectral density study of SHI irradiated ultra-thin gold films

2009 ◽  
Vol 256 (2) ◽  
pp. 558-561 ◽  
Author(s):  
P. Dash ◽  
P. Mallick ◽  
H. Rath ◽  
A. Tripathi ◽  
Jai Prakash ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Spectral Density ◽  
Power Spectral Density ◽  
Gold Films ◽  
Power Spectral ◽  
Density Study

Evaluation of WEDM Surface Quality

2010 ◽  
Vol 97-101 ◽  
pp. 4080-4083 ◽  
Author(s):  
Lei Geng ◽  
Hua Yan Zhong
Keyword(s):  
Surface Roughness ◽  
Fractal Dimension ◽  
Spectral Density ◽  
Surface Topography ◽  
Surface Quality ◽  
Power Spectral Density ◽  
Evaluation Method ◽  
Fractal Theory ◽  
Machined Surface ◽  
Power Spectral

The formation of WEDM surface is a complicated process. There are many factors which make machined surface topography have the characteristics of complex and irregular, and impact using performance of parts. The work investigated microscopic features of the WEDM surface topography based on power spectral density and fractal theory, and proposed power spectral density evaluation method of the WEDM surface. The fractal dimension of the WEDM surface was calculated by structure function method. The physical meaning of the fractal dimension of the WEDM surface was described. The result shows that topography of the WEDM surface exhibits strong fractal characteristics within a certain scale. The processing parameters and pulse power performance will affect the fractal dimension D. The fractal dimension D has a certain relationship with the surface roughness Ra. It is more reasonable to use the fractal dimension D as well as the surface roughness Ra together to evaluate WEDM surface quality.

Surface Characterization of Carbon Fibers by Atomic Force Microscopy: Roughness Quantification by Power Spectral Density

2017 ◽  
Vol 742 ◽  
pp. 447-456
Author(s):  
Bastian Brück ◽  
Thomas Guglhoer ◽  
Simon Haug ◽  
Christina Kunzmann ◽  
Michael Schulz ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Spectral Density ◽  
Surface Topography ◽  
Power Spectral Density ◽  
Carbon Fibers ◽  
Force Microscopy ◽  
Atomic Force ◽  
Power Spectral ◽  
Local Background

The topography of a surface consists of structures of different length scales. The surface roughness caused by these structures plays a decisive role in interfacial properties. Atomic Force Microscopy (AFM) can be applied to measure the surface topography with great accuracy and thus facilitates roughness quantification. Here, however, the data reduction poses a challenge. In a conventional approach, surface roughness parameters are evaluated based on averaging height differences, which leads to values dominated by the largest height differences of the surface topography. To quantify contributions of smaller structures to the roughness, a previous study presented a tunable local background correction, which eliminates structures on a larger than selected scale. Therefore, this method only considers surface structures smaller than the chosen scale. A different approach to quantify surface roughness on all length scales covered by AFM measurements uses Fourier transformation of the surface topography to calculate the power spectral density, which describes the amplitudes of different contributing spatial frequencies.In the current study, a new approach based on power spectral density is used to quantify surface roughness parameters as a function of the length scale of contributions to the surface topography. This procedure allows a comprehensive characterization of surface roughness and an intuitive comparison of different surfaces.The usefulness of this method and its compatibility to local background correction is demonstrated by analyzing several commercially available carbon fibers with and without different fiber surface treatments.

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