Development of Step Hole Recognition System for Computer Aided Process Planning

Authors

  • C. F. Tan
  • N. Ismail
  • S. V. Wong
  • S. Sulaiman
  • M. R. Osman

DOI:

https://doi.org/10.11113/jt.v43.758

Abstract

Sistem CAD masa kini mewakili komponen dengan vertex, garis, permukaan dan/atau isipadu. Perwakilan ini tidak sesuai untuk kebanyakan applikasi pembuatan seperti Perancangan Proses Terbantu Komputer (CAPP). Pada tahap pembuatan, kebanyakan keputusan adalah berdasarkan pada entiti tertinggi di mana ia biasa dipanggil sebagai sifat pembuatan. Kertas kerja ini membincangkan pembangunan Sistem Pengecaman Lubang STEP yang dinamakan S_HoRS untuk Perancangan Proses Terbantu Komputer. S_HoRS akan menukarkan data geometri terutamanya lubang dari fail STEP kepada model berdasarkan sifat, sesuai untuk aktiviti perancangan proses terutamanya bagi komponen alatan dan acuan. Algoritma yang berdasarkan aturan digunakan dalam proses pengecaman. Perlaksanaan terkini bagi sistem tersebut terhad untuk sifat lubang sahaja. Kata kunci: Sifat lubang, perancangan proses berbantu komputer, pengecaman sifat, sifat lubang, fail STEP, algoritma berasaskan aturan Current CAD system represents part by set of vertices, lines face and/or volume. This type of presentation is not suitable for most manufacturing application such as Computer Aided Process Planning (CAPP). At manufacturing level, decisions are mainly based on higher entities, which are commonly called manufacturing features. This paper describes the development of STEP Hole Recognition System called S_HoRS for CAPP. S_HoRS will convert geometrical data specifically holes from the STandard for the Exchange of Product model data (STEP) file into feature based model suitable for process planning activities, especially for tool and die components. Rule–based algorithm is used for the recognising process. The output from S_HoRS is the hole’s feature data such as radius, height and the coordinates system. Current implementation of the S_HoRS is limited to simple hole features. Key words: Hole features, computer aided process planning, feature recognition, STEP file, rule-based algorithm

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Published

2012-02-29

Issue

Section

Science and Engineering

How to Cite

Development of Step Hole Recognition System for Computer Aided Process Planning. (2012). Jurnal Teknologi, 43(1), 73–86. https://doi.org/10.11113/jt.v43.758