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Machining Technology Of Machinable Ceramics

Posted on:2008-02-24Degree:MasterType:Thesis
Country:ChinaCandidate:Y ChenFull Text:PDF
GTID:2121360245992092Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
ZrO2/CePO4 machinable ceramics were selected as evaluated materials. Data envelopment analysis, principal component analysis and TOPSIS were separately used to evaluate machinability of machinable ceramics. Simultaneously, fluorophlogopite glass ceramic was selected as experimental materials. Cutting speed, cutting depth and feed were selected as experimental factors. Glass ceramic was turned by lathe based on experimental design. Through measurement of cutting forces and surface roughness, parameter design and optimization of ceramic turning processes were finished by robust design.Relations between property parameters and machining process parameters of machinable ceramics were synthetically considered to set up DEA model of machinability evaluation. Because weight vector was not used, artificial assumption of weight vectors could be avoided. Simultaneously, data envelopment analysis did not need to consider the dimension differences of inputs and outputs. So, the influence of magnitude order on evaluation operation was avoided. Principal component analysis was applied and evaluation model of machinable ceramics was presenteded through property parameters of machinable ceramics. The correlation between original variables can be eliminated based on this model. Moreover, weight vectors between machinability influence factors could be determined. TOPSIS was applied and evaluation model was established through property parameters and weight vector determined by principal component analysis. The rank of ZrO2/CePO4 machinability was determined through three above evaluation methods.Tauchi method and principal component analysis were used for the design of machining parameters. Optimalizing parameter combination and main influence factors of turning processes were obtained. Response surface methodology was used and response surface model was obtained. Optimalizing parameters and main influence factors for glass ceramic cutting processes were also determined. Simultaneously, cutting force model and surface roughness model were provided based on RSM.
Keywords/Search Tags:Machinable ceramics, Data envelopment analysis, Principal component analysis, TOPSIS, Tauchi method, Response surface methodology
PDF Full Text Request
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