Machining Feature Recognition Method of Box Parts Based on Cluster Analysis
LI Jizhou
ZHANG Zongwei
Abstract：In this paper,a machining feature recognition method based on cluster analysis is given to solve the problem of ma-chining feature recognition such as holes,slots and convex plates on box parts.Based on the topological and geometric characteris-tics of different features in the part model,this method generates the attributed adjacency graphs of the features,and obtains the cluster samples of the features by defining the feature cluster index.Finally,the cluster analysis is carried out through the cluster samples of the standard features and the features,and the features clustered into one class are regarded as the same features,so as to realize the classification and recognition of features.The experimental results show that the proposed method can effectively recog-nize different machining features in box parts.
Keywords：cluster analysisfeature recognitionattributed adjacency graphbox part
Publication Date：2025-11-20
Online Publishing Date：2026-01-28(First online date of this platform, not the publication date of the document)
Pages：5( 3276-3280 )