A Novel Approach for Automatic Machining Feature Recognition with Edge Blend Feature

Chen Wong Keong,Yusri Yusof,M.N Nik Hisyamudin,I Mohd Rasidi,I Al Emran,M.B Mohd Faizal,Z Izzuddin,M Sofian,Md J Mohd Azlis Sani,K Amir,T.A Ahmad Mubarak

doi:10.1051/matecconf/201713500033

Chen Wong Keong, Yusri Yusof + Show 9 more

Open Access

https://doi.org/10.1051/matecconf/201713500033

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Abstract

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.

Highlights

Most of the solid modelling is represented in B-rep
Joshi et al.[6] proposed the attributed adjacency graph (AAG) method, which is based on the face adjacency graph structure and adds rules in accordance with edges and face conditions for recognizing features types
This research concentrates on automatic machining feature recognition with edge blend face of geometry and topological data from CAD STEP Part21 file using EXPRESS schema entities are in the backend

Summary

Introduction

Most of the solid modelling is represented in B-rep. Point, edge, and face are the most basic elements in the B-rep model which could provide effective topological data of the solid model for feature recognition analysis. A new algorithms is proposed to tool approach direction identification, dimensional and geometric tolerances determination, reference faces identification have been studied by [8] These aforementioned methods consider only those machining features without fillets or blend faces. Instead of suppressing the recognized edge blend faces as mostly done by researchers[9] in machining feature recognition, attributes of recognized edge blend face is determined as convex/ concave to the adjacent planes, through convexity test. This edge blend face feature is added to graph-based method for automatic machining feature recognition with edge blend features

Basic concepts

Algorithm for recognizing edge blend face with convexity characteristics

Implementation

Conclusion and recommendation