期刊
FIFTH CIRP CONFERENCE ON HIGH PERFORMANCE CUTTING 2012
卷 1, 期 -, 页码 651-656出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.procir.2012.05.016
关键词
Hard tuning; regression analysis; cutting forces; surface roughness
The present work is an attempt to develop a force prediction model during finish machining of EN31 steel (equivalent to AISI 52100 steel) hardened to 60 +/- 2 HRC using hone edge uncoated CBN tool and to analyze the combination of the machining parameters for better performance within a selected range of machining parameters. A full factorial design of experiments procedure was used to develop the force and surface roughness regression models, within the range of parameters selected. The regression models developed show that the dependence of the cutting forces i.e. cutting, radial and axial forces and surface roughness on machining parameters are significant, hence they could be used for making predictions for the forces and surface roughness. The predictions from the developed models were compared with the measured force and surface roughness values. To test the quality of fit of data, the ANOVA analysis was undertaken. The favourable range of the machining parameter values is proposed for energy efficient machining. (C) 2012 The Authors. Published by Elsevier B. V. Selection and/or peer-review under responsibility of Professor Konrad Wegener
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