Lockett, Helen L. and Guenov, Marin D.
(2002).
| DOI (Digital Object Identifier) Link: | https://doi.org/10.1115/DETC2002/CIE-34497 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
Products that are manufactured using near net-shape manufacturing processes must be designed with regard to the constraints of the manufacturing process. The purpose of this research project is to develop a knowledge based manufacturing advisor to assist designers of products for casting and injection moulding. The manufacturing advisor is tightly integrated with a CAD solid modeller, and uses a novel feature recognition approach to identify the manufacturing features of the part. A mid-surface abstraction from the part's solid geometry is used as the basis for feature recognition, and it is argued that this is a better approach to feature recognition for this class of parts than a CAD solid model. Initial testing indicates that the feature recognition process is able to effectively recognise a range of features but that the quality of the feature recognition is dependent on the mid-surface representation that is generated.
| Item Type: | Conference or Workshop Item |
|---|---|
| ISBN: | 0-7918-3621-5, 978-0-7918-3621-7 |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Item ID: | 49617 |
| Depositing User: | Helen Lockett |
| Date Deposited: | 02 Aug 2017 14:04 |
| Last Modified: | 11 Dec 2018 17:37 |
| URI: | http://oro.open.ac.uk/id/eprint/49617 |
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