Design-History Reconstruction in Simple Machined Shapes Using Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Design-History Reconstruction in Simple Machined Shapes Using Deep Reinforcement Learning

Published:2023-07-30 Issue:7 Volume:22 Page:62-69
ISSN:1598-6721
Container-title:Journal of the Korean Society of Manufacturing Process Engineers
language:
Short-container-title:KSMPE

Author:

Kim Hoe Chang, ,Cha Min Hyeok,Kim Byung Chul

Publisher

The Korean Society of Manufacturing Process Engineers

Subject

General Medicine

Link

http://fulltext.koreascholar.com/service/pdf.aspx?pdf=EWNisGSJoLk=

Reference32 articles.

1. Han, J., M. Pratt, and Regli, W. C., “Manufacturing feature recognition from solid models: A status report,” IEEE Transactions on Robotics and Automation, Vol. 16, No. 6, pp. 782-796, 2000.

2. Joshi, S. and Chang, T.-C., “Graph-based heuristics for recognition of machined features from a 3D solid model,” Computer-Aided Design, Vol. 20, No. 2, pp. 58-66, 1988.

3. Chuang, S. and Henderson, M. R., “Three-dimensional shape pattern recognition using vertex classification and vertex-edge graphs,” Computer-Aided Design, Vol. 22, No. 6, pp. 377-387, 1990.

4. Gavankar, P. and Henderson, M. R., “Graph-based extraction of protrusions and depressions from boundary representations,” Computer-Aided Design, Vol. 22, No. 7, pp. 442-450, 1990.

5. Gao, S. and Shah, J. J., “Automatic recognition of interacting machining features based on minimal condition subgraph,” Computer-Aided Design, Vol. 30, No. 9, pp. 727-739, 1998.

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