2026-04-30T08:13:59Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/11032024-03-04T16:30:45Zcom_20.500.11984_473col_20.500.11984_478

An optimization methodology for material databases to improve cutting force predictions when milling martensitic stainless steel JETHETE-M152 Aristimuño, Patxi Xabier Basagoiti, Rosa ARRAZOLA, PEDRO JOSE Lazkano Rayo, Xabier Sela, Andrés modelling forces cutting edge milling JETHETE-M152 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. 2018-10-19T14:48:17Z 2018-10-19T14:48:17Z 2018 http://purl.org/coar/resource_type/c_6501 2212-8271 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=148493 https://hdl.handle.net/20.500.11984/1103 eng Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ © 2018 The Authors Elsevier Ltd.