Abstract
There usually exist narrow-long-deep areas in mould needed to be machined in special machining. To identify the narrow-deep areas automatically, an automatic narrow-deep feature (NF) recognition method is put forward accordingly. First, the narrow-deep feature is defined innovatively in this field and then feature hint is extracted from the mould by the characteristics of narrow-deep feature. Second, the elementary constituent faces (ECF) of a feature are found on the basis of the feature hint. By means of extending and clipping the ECF, the feature faces are obtained incrementally by geometric reasoning. As a result, basic narrow-deep features (BNF) related are combined heuristically. The proposed NF recognition method provides an intelligent connection between CAD and CAPP for machining narrow-deep areas in mould.
Similar content being viewed by others
References
Shah J, Mantyla M. Parametric and Feature-Based CAD/CAM: Concepts, Techniques and Application. New York: John Wiley & Sons, 1995.
Owodunni O, Hinduja S. Evaluation of existing and new feature recognition algorithms. In Proc. Instn. Mech. Engrs, Part B: Journal of Engineering Manufacture, 2002, 216(6): 839–851.
Ye X G, Fuh J Y H, Lee K S. A hybrid method for recognition of undercut features from moulded parts. Computer-Aided Design, 2001, 33(14): 1024–1034.
Chen L L, Chou S Y, Woo T C. Parting directions for mould and die design. Computer-Aided Design, 1993, 24(12): 762–768.
Fu M W, Fuh J Y H, Nee A Y C. Generation of optimal parting direction based on undercut features in injection molded parts. IIE Transactions, 1999, 31(10): 947–955.
Fu M W, Fuh J Y H, Nee A Y C. Undercut feature recognition in an injection mold design system. Computer-Aided Design, 1999, 31(12): 777–790.
Ismail N, Bakar N A, Juri A H. Recognition of cylindricalbased features using edge boundary technique for integrated manufacturing. Robotics and Computer-Integrated Manufacturing, 2004, 20(5): 417–422.
Kharderkar R, Burton G, McMains S. Finding feasible mold parting directions using graphics hardware. Computer-Aided Design, 2006, 38(4): 327–341.
Ran J Q, Fu M W. Design of internal pins in injection mold CAD via the automatic recognition of undercut features. Computer-Aided Design, 2010, 42(7): 582–597.
Lockett H L, Guenov M D. Graph-based feature recognition for injection moulding based-on a mid-surface approach. Computer-Aided Design, 2005, 37(2): 251–262.
Ding X M, Fuh J Y H, Lee K S. A Computer-aided EDM electrode design system for mold manufacturing. International Journal of Product Research, 2000, 38(13): 3079–3092.
Ding X M, Fuh J Y H, Lee K S. Computer aided EDM electrode design. Computers & Industrial Engineering, 2002, 42(2–4): 259–269.
Chen Z M, Cao Y S. Automatic recognition of regular narrowdeep feature in mold. Computer Integrated Manufacturing Systems, 2005, 11(12): 1698–1704.
Author information
Authors and Affiliations
Corresponding author
Additional information
Supported by the National Natural Science Foundation of China under Grant No. 61073066, and the National High Technology Development 863 Program of China under Grant No. 2008AA04Z115.
Electronic Supplementary Material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Chen, ZM., He, KJ. & Liu, J. Automatic Narrow-Deep Feature Recognition for Mould Manufacturing. J. Comput. Sci. Technol. 26, 528–537 (2011). https://doi.org/10.1007/s11390-011-1152-5
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11390-011-1152-5