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Lockett, Helen L. and Guenov, Marin D.
(2002).
DOI: https://doi.org/10.1115/DETC2002/CIE-34497
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.
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About
- Item ORO ID
- 49617
- Item Type
- Conference or Workshop Item
- ISBN
- 0-7918-3621-5, 978-0-7918-3621-7
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Depositing User
- Helen Lockett