FEATURE EXTRACTION FROM STEP AP224 FILE SETS

Authors

  • Azwan Iskandar Azmi Schoolof Information Technology Universiti Utara Malaysia 06010 Sintok Kedah
  • Jamaludin Mohd Taib Faculty of Mechanical Engineering Universiti Teknologi Malaysia 81310 Johor Bahru, Johor
  • Zulkepli Muhammad Faculty of Mechanical Engineering Universiti Teknologi Malaysia 81310 Johor Bahru, Johor

Keywords:

Feature Technology, NC Code generation, neutral file. Computer Aided Design (CAD), Computer Aided Manufacturing (CAM).

Abstract

Feature technology transforms the low-level geometrical definition of a 3D model into high level
product definition, aiming for full automation of downstream manufacturing activities. Today,
feat ure has been implemented in STa ndard for Exchange of Product Model specifically in
Application Protocol 224 (STEP AP224) which utilizes manufacturing featu re definition based on
prismatic and turning parts, Hence, this research is carried out to study how STEP AP data is
stored and how the features can be extracted. The extracted features are then used to automate the generation of the NC Code for the milling process. This work is limited to isolated milling features on 2.5D parts or prismatic parts.

References

Shah. J.1 . and Mantyla, M., 1995, Parametric and Feature-Based CAD/CAM-Concepts, Techniques and Applications. Wiley, New York.

Karadkar, BJ. and Pande, 5.5., 1996, Feature based automatic CNC code generation for prismatic parts. International Journal of Computers in Industry. Vol. 28, pp 137-150.

Azwan Iskandar Azmi, 2002, Study on the implementat ion of STEP AP224 in process planning. M.Sc Thesis. Universiti Teknologi Malaysia.

Kypri anou . L. K. . 1980, Shape Classifica tion in Computer Aided Design. PhD Thesis. University of Cambridge. Cambridge

Choi, B. K., 1982, CADICAM compatible and tool-o riented process planning system. Ph.D. Thesis, Purdue University, West Lafayette. Indiana.

Henderson. M. R., 1984, Extraction of feature information from three dimensional CAD data, PhD Thesis, Purdue University, Indiana.

. Corney, J. R., 1993. Graph Based Feature Recognition. Ph.D. Thesis. HeriotWatt University.

Sakurai. H., 1995. Volume decomposition and feature recognition: Part I Polyhedral objects, Computer Aided Design , Vol. 27. No. I I. pp 833-843.

Han, J . H., 1996. 3D geometric reasoning algorithmsjor feature recognition. Ph.D. Thesis, Univers ity of Southern California.

Vandenbrande , J . H., 1990, Automatic recognition of machinable features in solid models, Ph.D. Thesis, University of Rochester.

II. ISO, 200 1, Mechanical Product Definition for Process Planning using Machining Features 2nd Edition

Bhandarkar, M.P. and Nagi, R., 2000, STEP-Based feature extraction from STEP geometry for agile manufacturing, International Journal of Computers in Industry. Vol. 41, pp. 3-24.

Han. J . H, M. Kang and H Choi. 2001, STE P-based feature recognition for manufacturing cost optimization, Computer Aided Design. Vol 33, pp 671-686.

Downloads

Published

2018-05-02

How to Cite

Azmi, A. I., Mohd Taib, J., & Muhammad, Z. (2018). FEATURE EXTRACTION FROM STEP AP224 FILE SETS. Jurnal Mekanikal, 16(2). Retrieved from https://jurnalmekanikal.utm.my/index.php/jurnalmekanikal/article/view/222

Issue

Section

Mechanical

Similar Articles

<< < 4 5 6 7 8 9 10 11 12 13 > >> 

You may also start an advanced similarity search for this article.