The surface micro-topography of micro-WEDM is random, disordered and multi-scale and has been proved that it is fractal with the characteristic of self-affinity within a certain scale on the basic of the fractal geometry theory. According to the characterization of W-M fractal function, the principles of three evaluation methods about power spectrum method, structure function method and wavelet criterion have been described. The advantages and disadvantages of them evaluating the fractal property of the surface micro-topography of micro-WEDM have been compared in this paper. The experimental results indicate that the wavelet criterion is more stable and dependable than the other two methods, so the fractal dimension D of the surface micro-topography of micro-WEDM has been calculated using it. The result shows that the fractal dimension has the tendency of decrease with the increase of root mean square deviation (Sq) value while it is not absolutely monotonic, which can be used as a beneficial supplement to traditional evaluation parameters of surface roughness.
Micro wire electrical discharge machining (Micro-WEDM) is one key micro-processing technology for intricate micro parts. The surface texture is different with a single mechanical cutting surface and conventional spark-erosion formation machined surface. Assessment of the existing surface texture roughness parameters in terms of accuracy, or in the characterization of fine sense, can not meet the Micro-WEDM surface texture characterization needs. Through the analyses of surface autocorrelation function, structural shape ration, steepest attenuation autocorrelation function and surface texture direction, explicit the precise meaning of surface texture parameter characterization, make it really reflect the actual condition of Micro wire electrical discharge machining surface, modify Characterization Parameter algorithm, simplify the calculation process, make the results more accurate and more intuitive. Keywords: Micro wire electrical discharge machining; autocorrelation function; surface texture
The surface micro-topography characteristics of micro-WEDM, which can have a directly significant impact on the parts usability properties, have been attached more and more importance by people. In this study, the method of statistical analysis is applied to work out the two-dimensional autocorrelation function figure and the power spectrum density function figure of the surface micro-topography of micro-WEDM. It can be seen that there are more sharp and narrow peaks and high frequency components, meanwhile, there are some low frequency wave components on the surface. A conclusion is arrived at that the three-dimensional (3D) surface micro-topography of micro-WEDM shows isotropy through analyzing its texture characteristics. The results can provide the theoretical basis for further establishing the appropriate evaluation parameters for the surface roughness of micro-WEDM.
Since 3D micro-topography of the Micro Wire Electrical Discharge Machining (MWEDM) surface is an isotropy surface which is composed of innumerable ellipsoid profile peaks and pits, shape and distributing characters of surface structure can bring direct influence on characterization precision or calculating method of 3D roughness parameters, which needs considering surface measure direction or is influenced by surface structure. Through researching structural characters of 3D micro-topography of MWEDM surface, this article improves arithmetic method of space parameters of 3D roughness influenced by structure, which predigests calculating process and advances calculating precision.
Innovative algorithms and software evaluating the three-dimension topography in laser micro-machining are developed in this paper. First according to the features of the three-dimension surface consisted of micro peaks and pits, Gaussian curve parameters are presented and used to form a evaluation system with 22 parameters for three-dimension topography. Based on this, to completely and precisely evaluate the three-dimension topography,an assessment module for power spectral density is designed and implemented. Through integrating this module with the 22 parameters, a complete and precise evaluation system is built, which can evaluate the performance not only in vertical direction but also in horizontal is obtained. In software, through using MATLAB/GUI latest interface to implement integration, the following functions are implemented: surface three-dimension topography rebuilding, signal noise reducing, assessment data extracting, roughness calculating, and two-dimensional frequency domain analyzing. Furthermore, with this software, through comparing the parameters and spectrum, it is easy to determine the frequency affecting the roughness,thus providing some clues on how to further reduce the surface roughness. Test results show that this software system can provide more accurate assessment for the surfac three-dimension topography, and can be used to ultra-precision machining surface assessment.
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