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|Title:||A predictive model of the critical undeformed chip thickness for ductile-brittle transition in nano-machining of brittle materials||Authors:||Arif, M.
Specific cutting energy
|Issue Date:||Jan-2013||Citation:||Arif, M., Xinquan, Z., Rahman, M., Kumar, S. (2013-01). A predictive model of the critical undeformed chip thickness for ductile-brittle transition in nano-machining of brittle materials. International Journal of Machine Tools and Manufacture 64 : 114-122. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ijmachtools.2012.08.005||Abstract:||There is a distinct transition in the mode of material removal in machining of brittle materials if the undeformed chip thickness is below a critical threshold of submicron scale. It is believed that at such small scale of material removal, the energy required to extend pre-existing flaws in the microstructure of brittle material exceeds the energy required to mobilize the micro-structural dislocations and hence plastic deformation serves as the dominant mode of material removal. It is postulated that a transition in the mode of material removal in machining of brittle materials is accompanied by a corresponding shift in the representative mode of energy expenditure. Hence, machining energy is a viable parameter to characterize the modes of material removal in machining of a brittle material. This paper presents a specific cutting-energy based model to predict the ductile-brittle transition point in ultra-precision machining of brittle materials. The energy expended in brittle and ductile modes of machining is modeled as a function of work-material intrinsic properties, tool geometry and process parameters. The transition point is identified in terms of undeformed chip thickness at which the mode of energy undergoes a transition from the plastic deformation based one to the fracture based one. The validity of the proposed model is verified by single-edge cutting tests on single-crystal silicon and BK7 glass. The experimental results are found in good agreement with model results. © 2012 Elsevier Ltd.||Source Title:||International Journal of Machine Tools and Manufacture||URI:||http://scholarbank.nus.edu.sg/handle/10635/51311||ISSN:||08906955||DOI:||10.1016/j.ijmachtools.2012.08.005|
|Appears in Collections:||Staff Publications|
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