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.

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

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.

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

Identifying the Microtopographic Features Generated by Different Ultra-Precision Machining Techniques by Power Spectral Density

2014 ◽  
Vol 625 ◽  
pp. 73-78 ◽  
Author(s):  
Jian Chao Chen ◽  
Tao Sun
Keyword(s):  
Spectral Density ◽  
Power Spectral Density ◽  
Sample Surface ◽  
Silicon Wafers ◽  
Diamond Turning ◽  
Machining Process ◽  
Precision Machining ◽  
Power Spectral ◽  
Ultra Precision ◽  
Kdp Crystals

An atomic force microscope (AFM) was used to image the ultra-precision machined surfaces of K9 glasses, potassium dihydrogen phosphate (KDP) crystals, and silicon wafers. Each surface was generated by two machining techniques: (1) coarse-grain-sized diamond wheel grinding and regular polishing were used on K9 glasses; (2) single-point diamond turning and deliquescent polishing were performed on KDP crystals; (3) standard chemical mechanical polishing and atmospheric pressure low temperature plasma polishing were employed on silicon wafers. One-dimensional and two-dimensional power spectral densities (PSDs) of each sample surface were calculated from the measurement data. The influence of each machining process on the sample surface texture was analyzed based on the PSDs. The experiment results indicate that the power spectral density is a great guidance for the selection and improvement of ultra-precision machining techniques.

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