Attribute Based Feature Recognition For Machining Features

Abstract

Automasi pengecaman ciri adalah satu komponen yang kritikal dalam mengintegrasikan CAD/CAPP/CAM. Aturcara pengecaman ciri perlu dilaksanakan dalam perancangan proses supaya keputusan berkaitan dengan aktiviti perancangan proses boleh dibuat. Berbagai kaedah telah dibangunkan untuk mengautomasikan pengecaman ciri. Kertas kerja ini membentangkan satu pendekatan kepada pengecaman ciri menggunakan rule based yang berdasarkan sifat-sifat tertentu sesuatu ciri seperti jumlah permukaan, jumlah bucu, jenis muka, dan sifat-sifat lain ciri seperti lekuk/cembung. Kaedah yang dicadangkan dilaksanakan menggunakan Graphics Interactive Programming (GRIP), dan permodelan padu Unigraphics. Hasil ujian menunjukkan bahawa pendekatan yang dikemukakan dapat mengecam ciri yang mempunyai satu set sifat-sifat yang unik. Pendekatan ini juga ringkas, mudah difahami dan digunakan. Kata kunci: CAD, CAPP, CAM, model padu, ciri, pengecaman ciri Automated feature recognition is considered a critical component for integration of CAD/CAPP/CAM. The automation of process planning requires the implementation of a feature recognition procedure, so that decisions relating to steps of process planning activities can be made. Various methodologies have been developed to automate feature recognition. This paper presents an approach to feature recognition using rule based on different characteristics specific to each feature such as the total number of faces, the total number of edges, the type of faces, and the attribute of feature i.e. protrusion/depression. The proposed method is implemented using Graphics Interactive Programming (GRIP) and Unigraphics solid modeler. The results show that the proposed technique is capable of recognizing features with a unique set of attributes. The rule is also simple, easy to understand and implement. Key words: CAD, CAPP, CAM, solid models, features, feature recognition