Ikusi/ Ireki
Izenburua
An optimization methodology for material databases to improve cutting force predictions when milling martensitic stainless steel JETHETE-M152Egilea
Bertsioa
Bertsio argitaratua
Eskubideak
© 2018 The AuthorsSarbidea
Sarbide irekiaArgitaratzailearen bertsioa
https://doi.org/10.1016/j.procir.2018.09.017Non argitaratua
Procedia CIRP Vol. 77. Pp. 287-290, 2018Lehenengo orria
287Azken orria
290Argitaratzailea
Elsevier Ltd.Gako-hitzak
modelling
forces
cutting edge
milling ... [+]
forces
cutting edge
milling ... [+]
modelling
forces
cutting edge
milling
JETHETE-M152 [-]
forces
cutting edge
milling
JETHETE-M152 [-]
Laburpena
A material database for JETHETE-M152 was developed applying a novel methodology for improving the precision of cutting forces. This approach defines a variable specific edge force depending on the fee ... [+]
A material database for JETHETE-M152 was developed applying a novel methodology for improving the precision of cutting forces. This approach defines a variable specific edge force depending on the feed rate and cutting edge geometry. Applying this methodology, accurate predictions could be obtained when using complex shape inserts with different micro-geometries or with feed rates lower than the cutting edge radius. These predictions showed an improvement compared to those of the strategy of keeping constant the specific edge coefficient. Furthermore, an orthogonal to oblique transformation technique was applied to predict the cutting forces in face and side milling. The results showed good agreement with experimental results. [-]
Sponsorship
The authors would like to thank to H2020 and to the Basque Government for the financial support given to the projects MC-SUITE (H2020 GA: 680478) and SMAPRO (KK-2017/00021).Projectu ID
info:eu-repo/grantAgreement/EC/H2020/680478/EU/ICT Powered Machining Software Suite/MC-SUITEBildumak
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