Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/4388
Title: Multi-scale simulation of the nano-metric cutting process
Authors: Sun, X
Cheng, K
Keywords: Multi-scale simulation;Molecular dynamics;Finite element method;Nano-metric cutting
Issue Date: 2010
Publisher: Springer
Citation: The International Journal of Advanced Manufacturing Technology. 47(9-12): 891-901
Abstract: Molecular dynamics (MD) simulation and the finite element (FE) method are two popular numerical techniques for the simulation of machining processes. The two methods have their own strengths and limitations. MD simulation can cover the phenomena occurring at nano-metric scale but is limited by the computational cost and capacity, whilst the FE method is suitable for modelling meso- to macro-scale machining and for simulating macro-parameters, such as the temperature in a cutting zone, the stress/strain distribution and cutting forces, etc. With the successful application of multi-scale simulations in many research fields, the application of simulation to the machining processes is emerging, particularly in relation to machined surface generation and integrity formation, i.e. the machined surface roughness, residual stress, micro-hardness, microstructure and fatigue. Based on the quasi-continuum (QC) method, the multi-scale simulation of nano-metric cutting has been proposed. Cutting simulations are performed on single-crystal aluminium to investigate the chip formation, generation and propagation of the material dislocation during the cutting process. In addition, the effect of the tool rake angle on the cutting force and internal stress under the workpiece surface is investigated: The cutting force and internal stress in the workpiece material decrease with the increase of the rake angle. Finally, to ease multi-scale modelling and its simulation steps and to increase their speed, a computationally efficient MATLAB-based programme has been developed, which facilitates the geometrical modelling of cutting, the simulation conditions, the implementation of simulation and the analysis of results within a unified integrated virtual-simulation environment.
URI: http://bura.brunel.ac.uk/handle/2438/4388
DOI: http://dx.doi.org/10.1007/s00170-009-2125-5
ISSN: 0268-3768
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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