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ID 69988
フルテキストURL
fulltext.pdf 9.74 MB
著者
Kaneko, Kazuki Faculty of Environmental, Life, Natural Science and Technology, Okayama University
Takayasu, Hiroto Graduate School of Science and Engineering, Ibaraki University
Suzuki, Atsuya Mechanical Systems Engineering Program, Okayama University
Kodama, Hiroyuki Faculty of Environmental, Life, Natural Science and Technology, Okayama University Kaken ID
抄録
This study proposes a unified two-dimensional (2D) polygon-based computer-aided manufacturing (CAM) framework that enables tool path generation, machinability evaluation, material removal simulation, and cutting-force prediction within a single computational environment. The proposed method represents three-dimensional geometries as aggregates of orthogonal 2D polygon sets, obtained by slicing the model in the xy-, yz-, and zx-parallel planes and superposing the three polygonal datasets. A novel convolutional offsetting algorithm is developed to perform three-dimensional inflation and shrinkage by incorporating adjacent cross-sectional relationships, thereby achieving accurate 3D offsets independent of the slicing orientation. The inflated 2D polygons are directly utilized to generate contour and scanning tool paths, and sequential inflation–shrinkage analysis enables visualization of unmachinable regions for tool accessibility evaluation. Furthermore, the framework integrates an instantaneous cutting force model that accurately predicts the cutting force waveform by detecting intersections between the cutting edge points and 2D polygon aggregations. The system is experimentally validated via ball-end milling. The results demonstrate that tool paths can be generated in under one minute using only a CPU. Furthermore, the simulated cutting forces closely align with experimental measurements. These findings demonstrate that the proposed 2D polygon-based framework provides an efficient and extensible foundation for integrating mechanical simulation and tool-path generation.
キーワード
Computer-aided manufacturing (CAM)
Polygon
Tool path generation
Machinability
Cutting force prediction
発行日
2026-03
出版物タイトル
Results in Engineering
29巻
出版者
Elsevier BV
開始ページ
108948
ISSN
2590-1230
資料タイプ
学術雑誌論文
言語
英語
OAI-PMH Set
岡山大学
著作権者
© 2026 The Authors.
論文のバージョン
publisher
DOI
関連URL
isVersionOf https://doi.org/10.1016/j.rineng.2025.108948
ライセンス
http://creativecommons.org/licenses/by-nc-nd/4.0/
助成情報
25K17518: エンドミル加工における加工精度モニタリングのための仮想センサの構築 ( 独立行政法人日本学術振興会 / Japan Society for the Promotion of Science )