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Study On Surface Roughness And Milling Parameters Of P20Mold Steel For High Speed Milling

Posted on:2013-01-02Degree:MasterType:Thesis
Country:ChinaCandidate:C LongFull Text:PDF
GTID:2211330362463216Subject:Mechanical Manufacturing and Automation
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High speed cutting technology, with high efficiency and precision as the basiccharacteristics, is one of the advanced manufacturing technologies in recent years. But sofar there are many factors constrain its further development, a focused area of research ishow to ensure the surface machining quality and improve machining efficiency. Atpresent, Because there is no relatively complete cutting parameters to choose from,resulting the superiority of high speed cutting can not make full use. Therefore, study theinfluence of the surface roughness through less experiment, establish the high precisionsurface roughness prediction model and ensure optimal cutting parameters, play apractical significance to carry out high quality and efficiency in machining.In this paper, taking high speed milling process of P20mold steel as object.Processing the research on the testing of surface roughness, establishment of the surfaceroughness prediction model and the optimization of milling parameters.Based on orthogonal test, The influence of milling speed, feed per tooth, millingdepth and line spacing on the surface roughness are analyzed, the results show that thesefour parameters are highly significant, the descending order of impact is as followed: linespacing, feed per tooth, milling speed and milling depth.Comparison of surface roughness measured value and theoretical model predictivevalue, the surface roughness predictive model is established by multiple linear regressionanalysis, and the model and the regression coefficients are tested. Results showed that theestablished model is highly significant with high confidence.The milling parameters are calculated optimally with maximum processingefficiency as the target, by genetic algorithm. Optimal combinations of millingparameters under different surface roughness are obtained.
Keywords/Search Tags:high-speed milling, the surface roughness, machining efficiency, cuttingparameters, orthogonal test, regression analysis, genetic algorithm
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