Font Size: a A A

Study On The Tool Wear And Parameters Optimization During High Speed Milling Of3Cr2Mo

Posted on:2015-05-19Degree:MasterType:Thesis
Country:ChinaCandidate:G W TianFull Text:PDF
GTID:2181330422970863Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
High speed milling technology, characterized by high efficiency and precision, is oneof the advanced manufacturing technologies in recent years. Using the right millingparameters is the premise for high speed milling to work its advantages. Due to lackingrelatively complete database to choose from, an important research field of high speedmilling technology is to optimize parameters for the specific process.For ball end mill high speed finishing of3Cr2Modie steel, the effects ofmillingparameterson tool wear and surface roughness are investigated, the modelsof tool wearand surface roughness are established, which provide a basis for the rational use of millingparameters. Then, the milling parameters are calculated optimally with maximumprocessing efficiency and minimum costas targets by genetic algorithm, to guide theselection of milling parameters in practical processing.A method to measure radial wear of ball end mill is proposed and the accuracy of themethod is analyzed; theresult shows that the method has good accuracy to measure toolwear.The modelof tool wear is established though tool wear test. The spindle speed,milling width and feed per toothis observed to have a statistically significant impact on thetool wear, whereas milling depth has no significant impact.Verification test shows that themodel has higher precision and isuseful to predict the amount of wear.Based on orthogonal test, the effects ofmilling parameterson surface roughness areinvestigated. The result of the test showssmaller milling width, feed per tooth, spindlespeed and suitably large milling depth is conducive for a smaller surface roughness.Afterthat, the quadratic polynomial prediction model of surface roughness is set up.Attemptedto maximize efficiency and minimize cost, a milling process optimizationmodel was proposed, in which surface roughness is considered. According to the resultsobtained by non-dominated sorting genetic algorithmâ…¡(NSGA-â…¡), such parameters aresuggested: Spindle speed18300~19300rpm, milling depth0.18mm, millingwidth0.074~0.077mm, feed per tooth0.072~0.076mm.
Keywords/Search Tags:high speed milling, tool wear, ball end mill, genetic algorithm, millingparameters optimization
PDF Full Text Request
Related items