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Machining feature recognition using descriptors with range constraints for mechanical

Seungeun Lim, Changmo Yeo

2020Englishmechanicsmechanical engineeringmachining featuresfeature recognition3D CADshape descriptors

Abstract

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In machining feature recognition, geometric elements generated in a three-dimensional computer-aided design model are identified. This technique is used in manufacturability evaluation, process planning, and tool path generation. Here, we propose a method of recognizing 16 types of machining features using descriptors, often used in shape-based part retrieval studies. The base face is selected for each feature type, and descriptors express the base face's minimum, maximum, and equal conditions. Furthermore, the similarity in the three conditions between the descriptors extracted from the target face and those from the base face is calculated. If the similarity is greater than or equal to the threshold, the target face is determined as the base face of the feature. Machining feature recognition tests were conducted for two test cases using the proposed method, and all machining features included in the test cases were successfully recognized. Also, it was confirmed through an additional test that the proposed method in this study showed better feature recognition performance than the latest artificial neural network.

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@article{48bd6b49-12ed-41f6-8860-980d2cb6cf34,
  title={Machining feature recognition using descriptors with range constraints for mechanical},
  author={Seungeun Lim and Changmo Yeo},
  year={2020},
  language={English}
}
TY  - JOUR
TI  - Machining feature recognition using descriptors with range constraints for mechanical
AU  - Seungeun Lim
AU  - Changmo Yeo
PY  - 2020
LA  - English
ER  -

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