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https://doi.org/10.1016/j.ijmachtools.2013.03.006
Title: | A model to predict the critical undeformed chip thickness in vibration-assisted machining of brittle materials | Authors: | Zhang, X. Arif, M. Liu, K. Kumar, A.S. Rahman, M. |
Keywords: | Critical undeformed chip thickness Ductile-mode machining Specific cutting energy Vibration-assisted machining |
Issue Date: | 2013 | Citation: | Zhang, X., Arif, M., Liu, K., Kumar, A.S., Rahman, M. (2013). A model to predict the critical undeformed chip thickness in vibration-assisted machining of brittle materials. International Journal of Machine Tools and Manufacture 69 : 57-66. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ijmachtools.2013.03.006 | Abstract: | Vibration-assisted machining (VAM) of brittle materials has been proved to be useful in improving the machining performance by significantly increasing the critical undeformed chip thickness for ductile-brittle transition. However, until now, there does not exist any viable method or model to predict the critical undeformed chip thickness in VAM of brittle materials. The authors have already presented a specific-cutting-energy based model to predict the ductile-brittle transition in nano-machining of brittle materials. In the current study, the specific-cutting-energy based model is extended for VAM by taking into account the vibration parameters in addition to the work-material intrinsic properties, tool geometry and machining parameters in predicting the critical undeformed chip thickness. A series of cutting tests on single crystal silicon workpiece, using single crystal diamond with varying nominal cutting speeds, are conducted to verify the proposed model. It is found that the predicted results are in good agreement with the experimental results. © 2013 Elsevier Ltd. | Source Title: | International Journal of Machine Tools and Manufacture | URI: | http://scholarbank.nus.edu.sg/handle/10635/54410 | ISSN: | 08906955 | DOI: | 10.1016/j.ijmachtools.2013.03.006 |
Appears in Collections: | Staff Publications |
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