A FEATURE RECOGNITION AND EXTRACTION METHOD USED TO DEVELOP A CAPP MODEL FOR “L-BLOCK” FAMILY OF PARTS

Iaroslav Francisc PIȘEC, Florin Sandu BLAGA, Gheorghe OANCEA

Abstract


A Computer Aided Design (CAD) model system represents designed parts as a volume. This type of representation is not usable for most manufacturing programs even for Computer Aided Process Planning (CAPP). The volumes of material that are necessary to remove from a stock material represent the geometric features. These features have to be recognized and extracted from the CAD data. Being an important task that bridge CAD and CAPP, feature recognition provided greatest contribution to fully automated CAPP system development. An approach for feature recognition is based on boundary representation (B-Rep). Data is collected from a STEP file provided by the CAD system and is compared with the predefined variant of the feature. This paper describes the development of a CAPP model specific for a family of parts whose preprocessor have the role to extract the information from neutral format file and to settle it for recognizing process. The recognizing process is using a rule-based algorithm. The output of the preprocessor is the feature data such as dimensions, coordinates and spatial position relative to the XYZ axis system. CAPP system mainly replaces this information in a predefined machining sequence with variables.

Full Text:

PDF

References


Bolte, S., Dehmer, J., Neimann, J., Digital Leadership 4.0, Acta Technica Napocensis, Series: Applied Mathematics, Mechanics and Engineering, 61 (4), pp. 637-646, 2018.

Xu, X., Wang, L., Newman, S. T., Computer-aided process planning—A critical review of recent developments and future trends, International Journal of Computer Integrated Manufacturing, 24 (1), pp. 1–31, 2011.

Babic, B., Nesic, N., Miljkovic, Z., A review of automated feature recognition with rule-based pattern recognition, Computers in Industry, 59, pp. 321-337, 2008.

Singh, N., Systems Approach to Computer-Integrated Design and Manufacturing, John Wiley and Sons, Inc. (Ed), ISBN 0471585173, 1996, New York.

Wong, T. N., Wong, K. W., A feature based design system for computer-aided process planning system, Journals of Materials Processing Technology, 52 (1), pp. 122-132, 1995.

Dong, J., Parsaei, H. R., Leep, H. R., Manufacturing process planning in a concurrent design and manufacturing environment, Computer and Industrial Engineering, 30, pp. 83-93, 1996.

Yang, Y. N., Parsaei, H. R., Leep, H. R., A prototype of a future based multiple alternative process planning system with scheduling verification, Computer and Industrial Engineering, 39, pp. 109-124, 2001.

Smith, C. S., Wright, P. K., A worldwide web-based design-to-fabrication tool, Journal of Manufacturing Systems, 15, 1996.

Chu, X. N., Tso, S. K., Tu, Y. L., A nouvel methodology for computer aided process planning, International Journal of Advanced Manufacturing Technology, 16, pp. 714-719, 2000.

Khosnevis, B., Sormaz, D. N., Park, J. Y., An integrated process planning system using feature reasoning and space search-based optimization, IIE Transactions, 31, pp. 597-616, 1999.

Sabourin, L., Villeneuve, F., Omega, an expert CAPP System, Advances in Engineering Software, 25, pp. 51-59, 1996.

Younis, M. A., Wahab, M. A. A., A CAPP expert system for Rotational Components, Computers Industrial Engineering, 33, pp. 509-512, 1997.

Jing, B., Lau, H., Chan, F. T. S., Jiang, H., An automatic process planning system for the quick generation of manufacturing process plans directly from CAD drawings, Journal of Materials Processing Technology, 87, pp. 97-106, 1999.

Fuh, J. Y. H., Chang, C., Melkanoff, M. A., The development of an integrated and intelligent CAD/CAPP/CAFP environment using logic-based reasoning, Computer-

Aided Design, 28, pp. 217-232, 1996.

Ivan, N. V., Gavrus, C., Oancea, G., A new method for establishing the depths of cut for cast iron parts turning, Mechanical Sciences and Engineering, 40, pp. 496, 2018.

Filip, D., Modern methods and tools to improve the production processes from small series and unique production, Acta Technica Napocensis, Series: Applied Mathematics, Mechanics and Engineering, 61 (4), pp. 575-584, 2018.

Lakatos, E. S., Bacali, L., Nan, L. M., Danciu, A. M., Greenley, M., The development of the production processes in an active circular economy system, a view of recirculation, Acta Technica Napocensis, Series: Applied Mathematics, Mechanics and Engineering, 61 (4), pp. 735-742, 2018.

Bizubac, D., Popa, M. S., Hormann, B. O., ERP operations in the industry of smart manufacturing, Acta Technica Napocensis, Series: Applied Mathematics, Mechanics and Engineering, 61 (3), pp. 379-386, 2018.

Lau, H., Jiang, B., A Generic Integrated

System from CAD to CAPP: a neutral file-cum-GT approach, Computer Integrated Manufacturing Systems. 11 (1/2) pp. 67-75, 1998.

Ismail, N., Abu Bakar, N., Juri, A. H., Feature recognition patterns for form features using boundary representation models, International Journals of Advanced Manufacturing Technology, 20, pp. 553-556, 2002

Henderson, M. R., Srinath, G., Stage, R., Walker, K., Regli, W., Boundary representation-based Feature Identification, Manufacturing Research and Technology, 20, pp. 15-38, 1994.

Oancea, G., Haba, S. A., Software Tool Used in CAPP/CAM Systems for Rotational Parts, Machine Manufacturing Technology, ISSN: 1224-3264, 2016.

Vlad, R. C., An integrated planning and scheduling model for wiring systems assembly, Acta Technica Napocensis, Series: Applied Mathematics, Mechanics and Engineering, 61, pp. 263-270, 2018.

Keywords: Computer Aided Process Planning, boundary representation, feature recognition, feature extraction, family of parts.


Refbacks

  • There are currently no refbacks.


JOURNAL INDEXED IN :