AIJ Journal of Technology and Design
Online ISSN : 1881-8188
Print ISSN : 1341-9463
ISSN-L : 1341-9463
Information Systems Technology
PROCESS-PATH-DERIVING METHOD FOR CIRCULAR SAW USING DEEP-LEARNING-BASED SHAPE RECOGNITION
Keita KADOYusuke NAKAMURAGenki FURUSHOGakuhito HIRASAWA
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JOURNAL FREE ACCESS

2020 Volume 26 Issue 63 Pages 798-801

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Abstract

At precut fabrication sites for high-mix low-volume production, multi-axis machines are operated using a dedicated CAD/CAM that derives an operating path concurrently with detailed modeling. Because a CAD/CAM based workflow has complicated frontloading and data management issues, the authors developed a generic CAM that creates an operation path from a 3D geometry of a part. This paper reports a process path deriving method for a circular saw using 3D shape recognition based on PointNet. The proposed method classifies shape types and segments cut patterns for joints of parts represented as a point cloud. A validation experiment showed the joints are classified and segmented properly.

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© 2020, Architectural Institute of Japan
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