Please use this identifier to cite or link to this item: https://doi.org/10.1080/00207540010002379
Title: Core and cavity generation method in injection mould design
Authors: Fu, M.W.
Fuh, J.Y.H. 
Nee, A.Y.C. 
Issue Date: 10-Jan-2001
Source: Fu, M.W., Fuh, J.Y.H., Nee, A.Y.C. (2001-01-10). Core and cavity generation method in injection mould design. International Journal of Production Research 39 (1) : 121-138. ScholarBank@NUS Repository. https://doi.org/10.1080/00207540010002379
Abstract: In a computer-aided injection mould design system, the generation of parting surfaces and the creation of core and cavity blocks is usually a bottleneck. The parting surfaces and core/cavity blocks are created based on the parting direction and parting lines. Here, the architecture of an injection mould design system is proposed on the basis of the practical information flow and processing steps in mould production lifecycle. In this architecture, the methodology to generate the parting surfaces and the core/cavity blocks is proposed. To generate the parting surfaces, the parting line edges are classified and the extruded directions specified to the different groups of parting line edges. Extruding the parting line edges to the boundary of the core/cavity bounding box generates the parting surfaces. To create the core/cavity blocks, the Boolean regularized difference operation (BRDO) is used and the related algorithms are presented. The criterion to identify whether the undercut features need local tools for moulding is proposed. The case studies illustrate and validate the methodology to generate the parting surfaces and core/cavity blocks.
Source Title: International Journal of Production Research
URI: http://scholarbank.nus.edu.sg/handle/10635/59804
ISSN: 00207543
DOI: 10.1080/00207540010002379
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

35
checked on Dec 6, 2017

WEB OF SCIENCETM
Citations

20
checked on Nov 21, 2017

Page view(s)

40
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.