A hybrid 3D feature recognition method based on rule and graph
Author:
Affiliation:
1. School of Mechatronic Engineering,Southwest Petroleum University, Chengdu, China
2. Department of Mechanical Engineering, The University of Auckland, Auckland, New Zealand
Funder
Youth Science Foundation of National Natural Science Foundation
Sichuan science and technology project
Open Fund of Key Laboratory of Oil & Gas Equipment, Ministry of Education
Young Science and Technology Innovation Team of SWPU
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2020.1858507
Reference41 articles.
1. A novel and smart interactive feature recognition system for rotational parts using a STEP file
2. A survey on smart automated computer-aided process planning (ACAPP) techniques
3. A review of automated feature recognition with rule-based pattern recognition
4. Automatic feature recognition using artificial neural networks to integrate design and manufacturing: Review of automatic feature recognition systems
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