MATEC Web Conf.
Volume 135, 20178th International Conference on Mechanical and Manufacturing Engineering 2017 (ICME’17)
|Number of page(s)||6|
|Published online||20 November 2017|
A Novel Approach for Automatic Machining Feature Recognition with Edge Blend Feature
Politeknik Kuching Sarawak, Department of Mechanical Engineering, 93050 Kuching, Sarawak, Malaysia
2 Universiti Tun Hussein Onn Malaysia, Faculty of Mechanical and Manufacturing Engineering, 86400 Parit Raja, Johor, Malaysia
* Corresponding author: firstname.lastname@example.org
This paper presents an algorithm for efficiently recognizing and determining the convexity of an edge blend feature. The algorithm first recognizes all of the edge blend features from the Boundary Representation of a part; then a series of convexity test have been run on the recognized edge blend features. The novelty of the presented algorithm lies in, instead of each recognized blend feature is suppressed as most of researchers did, the recognized blend features of this research are gone through a series of convexity test before this blend features are used in automatic machining features recognition. A new graph-based method is also introduced with taking account of this edge blend features used in automatic machining feature recognition. This study has contributed to CAD/CAPP integration based on STEP standard in the life cycle of product development.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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