Dissertation
Dissertation > Industrial Technology > Metallurgy and Metal Craft > Metal cutting and machine tools > Milling and milling machine

Surface Topography Prediction and Simulation of Optical Parts in Ultra-precision Milling

Author WeiLiFeng
Tutor PengFangZuo
School Huazhong University of Science and Technology
Course Mechanical and Electronic Engineering
Keywords Ultra-precision milling Topography Simulation Parameter Optimization Optical parts
CLC TG54
Type Master's thesis
Year 2008
Downloads 244
Quotes 1
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The optical ultra-precision milling parts , the surface topography simulation is very important, because it directly affects the surface quality , especially the surface roughness . Because people on ultra-precision machining of not very well studied , the current lack of a clear explanation to the machined surface residual height model generation mechanism can not explain the various process parameters on the surface morphology . Based on the ultra- high -precision milling surface residues generated to study the mechanism , the establishment of ultra-precision milling surface morphology predictive model to analyze the process parameters on the surface morphology , and the optimization of processing parameters , the main contents are as follows : In the analysis of ultra- high -precision milling surface residue formation mechanism , based on the obtained residue height and lateral longitudinal residual height are on ultra-precision milling surface morphology have an important impact conclusions. Establishment of ultra-precision milling surface morphology prediction model, the ball head milling motion envelope solving process, using projection algorithm to directly calculate the corresponding point on the machined surface scallop height , in order to achieve the machined surface morphology forecasts. With ultra-precision optical components freeform milling , for example, the radius of the ball -end cutters , feed per tooth and the cutting line spacing , and other processing parameters on the surface morphology , surface topography to identify with the variation of process parameters . Through simulation to verify the amount of feed per tooth and cutting line spacing is affecting ultra-precision milling surface morphology of the most important factors . Orthogonal experiment to machining precision and efficiency of two optimization indicators, such as the ball-end cutters radius , feed rate , cutting line spacing and tool spindle speed and other processing parameters were optimized . Through range analysis and variance analysis to identify the optimal level of processing parameters values. To obtain the optimal process parameters value as the processing conditions for the ultra -precision milling simulation. Establishment of ultra-precision milling surface topography simulation modules for ultra-precision milling surface morphology simulation, verification ultra-precision milling surface topography prediction accuracy of the model . Meanwhile , the module also implements functions optimization of processing parameters .

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