Title
An optimization methodology for material databases to improve cutting force predictions when milling martensitic stainless steel JETHETE-M152Author
Published Date
2018Publisher
Elsevier Ltd.Keywords
modelling
forces
cutting edge
milling ... [+]
forces
cutting edge
milling ... [+]
modelling
forces
cutting edge
milling
JETHETE-M152 [-]
forces
cutting edge
milling
JETHETE-M152 [-]
Abstract
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. [-]
Publisher’s version
https://doi.org/10.1016/j.procir.2018.09.017ISSN
2212-8271Published at
Procedia CIRP Vol. 77. Pp. 287-290, 2018Document type
Article
Version
Published
Rights
© 2018 The AuthorsAccess
Open AccessCollections
- Articles - Engineering [483]
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