Comprehensive representation of machining process in Spatio-Temporal space based on four-dimensional geometric models (2nd report)

DOI

書誌事項

タイトル別名
  • tool-workpiece engagement analysis and acceleration based on GPGPU
  • tool-workpiece engagement analysis and acceleration based on GPGPU

抄録

<p>In general machining process representation methods, three-dimensional (3D) geometric models and its motion according to time series information are commonly used to represent dynamic machining. But the tool-workpiece engagement determination based on 3D geometric models is not flexible enough, for high accuracy it needs huge amount of discrete data to get the result which decreases the efficiency. In the study, we propose a system to represent tool-workpiece engagement situation of dynamic machining process by four-dimensional (4D) geometric model based on Spatio-Temporal space. For analyzing the tool-workpiece engagement in Spatio-Temporal space, “T-map approach” is used. The T-map is defined as segments along T-axis in Spatio-Temporal which extend from different grids of subdivided 3D workpiece model to the tool-occupied region (TOR). Lengths of T-map segments refer to when the material in corresponding grid is removed by the tool. The core of the T-map approach is to determine whether the T-map segment and the tetrahedron in TOR intersect and return the length of the T-map segment. Checking process of all segments and tetrahedrons requires a lot of computing resources. Therefore, parallel processing based on GPGPU is introduced for accelerating repeated computing process in T-map.</p>

収録刊行物

詳細情報 詳細情報について

  • CRID
    1390573242509862272
  • DOI
    10.11522/pscjspe.2021a.0_66
  • 本文言語コード
    en
  • データソース種別
    • JaLC
  • 抄録ライセンスフラグ
    使用不可

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