scholarly journals 3D Rough Surface Topography Model of Fractal Interpolation Based on Wavelet Transform

2018 ◽  
Vol 1087 ◽  
pp. 052031
Author(s):  
Mingxia Kang ◽  
Wencheng Tang ◽  
Lu Zhang
Keyword(s):  
Wavelet Transform ◽  
Surface Topography ◽  
Rough Surface ◽  
Fractal Interpolation ◽  
Topography Model

EFFECT OF SURFACE TOPOGRAPHY ON SEISMIC MAPPING

Geophysics ◽  
1946 ◽  
Vol 11 (3) ◽  
pp. 362-372 ◽  
Author(s):  
M. B. Widess
Keyword(s):  
Statistical Analysis ◽  
Surface Topography ◽  
Rough Surface ◽  
Computational Methods ◽  
Surface Relief ◽  
Lateral Variations ◽  
Source Of Error ◽  
Gathering Data ◽  
Effect Of Surface ◽  
Approximate Magnitude

The presence of rough surface topography in a prospect frequently constitutes a source of error in seismic mapping and poses the question of what computational methods can be applied by which seismic maps may be freed of the effect of surface relief. Various aspects of the problem are described. The use of a plane datum‐horizon is generally adequate as a solution of the problem. For greater refinement, the structural map may be modified to account for the overburden effect, the approximate magnitude of which is considered. Further modification may be required when lateral variations in subweathering velocity occur. Statistical analysis for determining the degree of conformity between surface topography and mapped structure at depth is useful in gathering data on the influence of surface topography.

Rough surface topography enhances the activation of Wnt/β-catenin signaling in mesenchymal cells

2010 ◽  
Vol 95A (3) ◽  
pp. 682-690 ◽  
Author(s):  
Carlo Galli ◽  
Giovanni Passeri ◽  
Francesca Ravanetti ◽  
Erida Elezi ◽  
Mario Pedrazzoni ◽  
...  
Keyword(s):  
Surface Topography ◽  
Rough Surface ◽  
Mesenchymal Cells

Three-Dimensional Simulation of Wheel Topography

2011 ◽  
Vol 487 ◽  
pp. 149-154 ◽  
Author(s):  
Qiang Feng ◽  
Qian Wang ◽  
Cheng Zu Ren
Keyword(s):  
Surface Topography ◽  
Grain Shape ◽  
Three Dimensional ◽  
Angle Distribution ◽  
Structural Components ◽  
Wheel Surface ◽  
Real Situation ◽  
Wheel Topography ◽  
Topography Model ◽  
Dimensional Simulation

Simulation of wheel surface topography is one key aspect of modeling the grinding process. A three-dimensional wheel topography model not only makes the simulated wheel topography more close to the real situation, but also benefits evaluation of wheel machinability and wears condition. This paper presents a physical model for simulation of three-dimensional wheel surface topography. Wheel structural components, grain shape, angle distribution of cutting edges, and the binding materials are considered in the model. Feasibility of the model is indicated by the simulation examples.

A Framework of a Surface Generation Model in Fast Tool Servo (FTS) Machining of Optical Microstructures

2007 ◽  
Vol 364-366 ◽  
pp. 1274-1279
Author(s):  
Tsz Chun Kwok ◽  
Chi Fai Cheung ◽  
Suet To ◽  
Wing Bun Lee
Keyword(s):  
Surface Topography ◽  
Optimization Model ◽  
Tool Path ◽  
Rotational Frequency ◽  
Cutting Conditions ◽  
Surface Generation ◽  
Tool Geometry ◽  
Generation Model ◽  
Fast Tool Servo ◽  
Topography Model

In this paper, a framework of surface generation model in the fast tool servo (FTS) machining of optical microstructures will be described. The integrated model is totally composed of a tool path generator (TPG), a surface topography model (STM) and an optimization model (OM). To develop the tool path generator, two parts should be involved. The first part is the tool path generated based on cutting conditions such as the feed rate and spindle speed, the geometry of optical microstructures, and diamond tool geometry. Another part is the synchronized motion generated by the tool actuation of the FTS at a bandwidth higher than the rotational frequency of the spindle. The surface topography model will be generated based on the TPG and used to predict the technological aspects of FTS machining. It takes into the account the kinematic and dynamic characteristics of the cutting process. The former includes the tool path generated by the tool path generator. The later includes the relative vibration between the tool and the workpiece caused by the axial error motion of the spindle as well as the synchronized motion of the FTS system. The optimization model will be undertaken by an iterative algorithm, which will be developed based on the TPG and STM. The OM will be expected to output the verified tool path, the suggested optimum cutting conditions, and the diagrams with predicted cutting performance characteristic and process parameters being investigated. Eventually, the successful development of this surface generation model can contribute for the knowledge of ultra-precision machining with FTS and the further development of the performance of the machining system.

Influencing Factors of Surface Generation in Ultra-Precision Fly Cutting

2016 ◽  
Vol 1136 ◽  
pp. 221-226
Author(s):  
Lan Zhan ◽  
Fei Hu Zhang ◽  
Chen Hui An ◽  
Zhi Peng Li
Keyword(s):  
Surface Topography ◽  
Influencing Factors ◽  
Surface Profile ◽  
Surface Generation ◽  
Cutting Machine ◽  
Fly Cutting ◽  
3D Surface ◽  
Ultra Precision ◽  
Topography Model ◽  
Great Focus

Ultra-precision fly cutting machines have long been the hardest one to compliant and induce great focus of researchers. In this paper, a surface topography model is proposed to predict the surface generation in an ultra-precision fly cutting machine. The building of surface topography model is based on the trace of the tool tip. With the 3D surface profile simulations of workpieces, several influencing factors of surface topography, especially the factors related to micro waviness error, are studied.

Role of rough surface topography on gas slip flow in microchannels

2012 ◽  
Vol 86 (1) ◽  
Author(s):  
Chengbin Zhang ◽  
Yongping Chen ◽  
Zilong Deng ◽  
Mingheng Shi
Keyword(s):  
Surface Topography ◽  
Rough Surface ◽  
Slip Flow

Image Interpolation Based on Wavelet Transform

2014 ◽  
Vol 484-485 ◽  
pp. 853-855
Author(s):  
Hai Zhu Yu ◽  
Xiao Li Chai ◽  
Hua Deng
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Digital Image Processing ◽  
Digital Image ◽  
Wavelet Transformation ◽  
Image Interpolation ◽  
Fractal Interpolation ◽  
Image Magnification ◽  
Post Process ◽  
Forming Methods

Image interpolation is widely studied and used in digital image processing. In this paper, a method of image magnification according to the properties of fractal interpolation and wavelet transformation are presented. We focus the development of edge forming methods to be applied as a post process of standard image zooming methods for grayscale images, with the hope of retaining edges. Experiments make sure it valid.

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