Publication:  Modeling cutting forces for five axis milling of sculptured surfaces
| dc.contributor.coauthor | Erdim, H. | |
| dc.contributor.department | Department of Mechanical Engineering | |
| dc.contributor.department | Graduate School of Sciences and Engineering | |
| dc.contributor.department | MARC (Manufacturing and Automation Research Center) | |
| dc.contributor.kuauthor | Boz, Yaman | |
| dc.contributor.kuauthor | Lazoğlu, İsmail | |
| dc.contributor.schoolcollegeinstitute | College of Engineering | |
| dc.contributor.schoolcollegeinstitute | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
| dc.contributor.schoolcollegeinstitute | Research Center | |
| dc.date.accessioned | 2024-11-10T00:02:44Z | |
| dc.date.issued | 2011 | |
| dc.description.abstract | 5-axis ball-end milling processes are used in various industries such as aerospace, automotive, die-mold and biomedical industries. 5-axis machining provides reduced cycle times and more accurate machining via reduction in machining setups, use of shorter tools due to improved tool accessibility. However, desired machining productivity and precision can be obtained by physical modeling of machining processes via appropriate selection of process parameters. In response to this gap in the industry this paper presents a cutting force model for 5-axis ball-end milling cutting force prediction. Cutter-workpiece engagement is extracted via developed solid modeler based engagement model. Simultaneous 5-axis milling tests are conducted on A17075 workpiece material with a carbide cutting tool. Validation of the proposed model is performed for impeller hub roughing toolpaths. Validation test proves that presented model is computationally efficient and cutting forces can be predicted reasonably well. The result of validation test and detailed comparison with the simulation are also presented in the paper. | |
| dc.description.indexedby | WOS | |
| dc.description.indexedby | Scopus | |
| dc.description.openaccess | YES | |
| dc.description.publisherscope | International | |
| dc.description.sponsoredbyTubitakEu | N/A | |
| dc.description.sponsorship | DP Technology Corp, Sanvik Coromant for the Mori Seiki NMV 5000DCG CNC Machining Center, Esprit CAM software and cutting tools The authors greatly appreciate the Machine Tool Technologies Research Foundation (MTTRF), the Mori Seiki Co., the DP Technology Corp, Sanvik Coromant for the Mori Seiki NMV 5000DCG CNC Machining Center, Esprit CAM software and cutting tools to support this research. | |
| dc.description.volume | 223 | |
| dc.identifier.doi | 10.4028/www.scientific.net/AMR.223.701 | |
| dc.identifier.isbn | 978-3-03785-095-4 | |
| dc.identifier.issn | 1022-6680 | |
| dc.identifier.scopus | 2-s2.0-79956271500 | |
| dc.identifier.uri | https://doi.org/10.4028/www.scientific.net/AMR.223.701 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14288/16184 | |
| dc.identifier.wos | 291824000074 | |
| dc.keywords | Free form surface | |
| dc.keywords | 5 axis | |
| dc.keywords | Machining | |
| dc.keywords | Milling | |
| dc.keywords | Force | |
| dc.keywords | Kinematic | |
| dc.keywords | Mechanics | |
| dc.language.iso | eng | |
| dc.publisher | Trans Tech Publications Ltd | |
| dc.relation.ispartof | Modelling of Machining Operations | |
| dc.subject | Engineering | |
| dc.subject | Manufacturing engineering | |
| dc.subject | Engineering | |
| dc.subject | Mechanical engineering | |
| dc.subject | Mathematics | |
| dc.subject | Applied mathematics | |
| dc.title | Modeling cutting forces for five axis milling of sculptured surfaces | |
| dc.type | Conference Proceeding | |
| dspace.entity.type | Publication | |
| local.contributor.kuauthor | Boz, Yaman | |
| local.contributor.kuauthor | Lazoğlu, İsmail | |
| local.publication.orgunit1 | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
| local.publication.orgunit1 | College of Engineering | |
| local.publication.orgunit1 | Research Center | |
| local.publication.orgunit2 | Department of Mechanical Engineering | |
| local.publication.orgunit2 | MARC (Manufacturing and Automation Research Center) | |
| local.publication.orgunit2 | Graduate School of Sciences and Engineering | |
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