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    Integrated experimental and computational approach to laser machining of structural bone

    Access Status
    Fulltext not available
    Authors
    Dahotre, N.
    Santhanakrishnan, S.
    Joshi, S.
    Khan, R.
    Fick, D.
    Robertson, W.
    Sheh, Raymond
    Ironside, Charlie
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Dahotre, N. and Santhanakrishnan, S. and Joshi, S. and Khan, R. and Fick, D. and Robertson, W. and Sheh, R. et al. 2018. Integrated experimental and computational approach to laser machining of structural bone. Medical Engineering & Physics. 51: pp. 56-66.
    Source Title
    Medical Engineering & Physics
    DOI
    10.1016/j.medengphy.2017.11.010
    ISSN
    1350-4533
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/65452
    Collection
    • Curtin Research Publications
    Abstract

    This study describes the fundamentals of laser–bone interaction during bone machining through an integrated experimental-computational approach. Two groups of laser machining parameters identified the effects of process thermodynamics and kinetics on machining attributes at micro to macro. A continuous wave Yb-fiber Nd:YAG laser (wavelength 1070 nm) with fluences in the range of 3.18 J/mm 2 –8.48 J/mm 2 in combination of laser power (300 W–700 W) and machining speed (110 mm/s–250 mm/s) were considered for machining trials. The machining attributes were evaluated through scanning electron microscopy observations and compared with finite element based multiphysics-multicomponent computational model predicted values. For both groups of laser machining parameters, experimentally evaluated and computationally predicted depths and widths increased with increased laser energy input and computationally predicted widths remained higher than experimentally measured widths whereas computationally predicted depths were slightly higher than experimentally measured depths and reversed this trend for the laser fluence > 6 J/mm 2 . While in both groups, the machining rate increased with increased laser fluence, experimentally derived machining rate remained lower than the computationally predicted values for the laser fluences lower than ~4.75 J/mm 2 for one group and ~5.8 J/mm 2 for other group and reversed in this trend thereafter. The integrated experimental-computational approach identified the physical processes affecting machining attributes.

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