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  • A novel run-out model based on spatial tool position for micro-milling force prediction

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    Embargoed until: 2023-06-17
    File version
    Accepted Manuscript (AM)
    Author(s)
    Jing, X
    Lv, R
    Song, B
    Xu, J
    Jaffery, SHI
    Li, H
    Griffith University Author(s)
    Li, Huaizhong
    Year published
    2021
    Metadata
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    Abstract
    The tool run-out significantly affects prediction of milling force, which is crucial for monitoring the micro-end-milling processes. For accurately predicting milling force, a novel tool run-out model is presented, which is based on spatial tool position to reflect a more realistic clamping situation. In the established model, the direction vector of the tool axis replacing the location angle ψ and tilt angle τ is firstly proposed to describe the tool position in space to simplify the calculation. The mechanistic cutting force model, which is relevant to instantaneous uncut chip thickness (IUCT), is adopted to predict milling ...
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    The tool run-out significantly affects prediction of milling force, which is crucial for monitoring the micro-end-milling processes. For accurately predicting milling force, a novel tool run-out model is presented, which is based on spatial tool position to reflect a more realistic clamping situation. In the established model, the direction vector of the tool axis replacing the location angle ψ and tilt angle τ is firstly proposed to describe the tool position in space to simplify the calculation. The mechanistic cutting force model, which is relevant to instantaneous uncut chip thickness (IUCT), is adopted to predict milling force. An accurate IUCT at different axial positions is calculated by incorporating the proposed run out model on spatial tool position. The predicted cutting forces show a close agreement with the experimental cutting force. The proposed run-out model can be employed to identify the tool state as well as predict cutting force, thereof monitor the machining process.
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    Journal Title
    Journal of Manufacturing Processes
    Volume
    68
    DOI
    https://doi.org/10.1016/j.jmapro.2021.06.006
    Copyright Statement
    © 2021 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
    Subject
    Manufacturing engineering
    Publication URI
    http://hdl.handle.net/10072/405492
    Collection
    • Journal articles

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