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JKSPE : Journal of the Korean Society for Precision Engineering

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Computational Modeling of Bolt Joint for Machine Tools

Jae Hak Lee, Tae Ho Ha, Chan Hong Lee
JKSPE 2012;29(10):1070-1077.
Published online: October 1, 2012
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Virtual machine tools have been magnified recently as manufacturers could estimate performances of machine tools before design and manufacturing of them. However, it requires much time and efforts to make FEM models and predict precision of machine tools well because machine tools are composed of many joints such as bolt joints, LM joints, rotational bearing joints and mounts. Especially, we have studied computational modeling methods of bolt joints to predict precision of machine tools well in this paper. Stiffness and damping coefficients of bolt joints are investigated and generalized with respect to fasten forces through experiments and FEM analysis. Matrix 27 element of ANSYS is used and bolt joints are simplified as square areas with 8 nodes to apply stiffness and damping simultaneously. Additionally, coordinate transformation of matrix 27 for bolt joints is induced to apply to skewed bolt joints of machine tools and evaluate it using FEM analysis.

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Computational Modeling of Bolt Joint for Machine Tools
J. Korean Soc. Precis. Eng.. 2012;29(10):1070-1077.   Published online October 1, 2012
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

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Computational Modeling of Bolt Joint for Machine Tools
J. Korean Soc. Precis. Eng.. 2012;29(10):1070-1077.   Published online October 1, 2012
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