Ensemble transfer learning for refining stability predictions in milling using experimental stability states
Authors:
- 24 April 2020
- journal article
- research article
- Published by Springer Nature in The International Journal of Advanced Manufacturing Technology
- Vol. 107 (9-10) , 4123-4139
Abstract
No abstract availableKeywords
Funding Information
- Commission for Technology and Innovation (CTI) of the Federal Department of Economic Affairs of Switzerland (17419.1 PFIW-IW, 17419.1 PFIW-IW)
This publication has 32 references indexed in Scilit:
- Machining Forces and Tool Deflections in Micro MillingProcedia CIRP, 2013
- Estimation of machine-tool dynamic parameters during machining operation through operational modal analysisInternational Journal of Machine Tools and Manufacture, 2009
- A closed-form approach for identification of dynamical contact parameters in spindle–holder–tool assembliesInternational Journal of Machine Tools and Manufacture, 2009
- Modeling and identification of tool holder–spindle interface dynamicsInternational Journal of Machine Tools and Manufacture, 2007
- Effect analysis of bearing and interface dynamics on tool point FRF for chatter stability in machine tools by using a new analytical model for spindle–tool assembliesInternational Journal of Machine Tools and Manufacture, 2007
- A Modeling Approach for Analysis and Improvement of Spindle-Holder-Tool Assembly DynamicsCIRP Annals, 2006
- Receptance coupling for end millsInternational Journal of Machine Tools and Manufacture, 2003
- Manufacturing Automation: Metal Cutting Mechanics, Machine Tool Vibrations, and CNC DesignApplied Mechanics Reviews, 2001
- Predicting High-Speed Machining Dynamics by Substructure AnalysisCIRP Annals, 2000
- Prediction of Milling Force Coefficients From Orthogonal Cutting DataJournal of Manufacturing Science and Engineering, 1996