A combinatorial optimisation approach for recognising interacting machining features in mill-turn parts
Author:
Affiliation:
1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology , Wuhan, P.R. China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2018.1425016
Reference27 articles.
1. A review of automated feature recognition with rule-based pattern recognition
2. Retrieval of machining information from feature patterns using artificial neural networks
3. Automatic recognition of interacting machining features based on minimal condition subgraph
4. Systematic approach to analysing the manufacturability of machined parts
5. Hint-based reasoning for feature recognition: status report
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