Interacting manufacturing features in CAPP systems
Authors:
- Janusz Pobożniak
Abstract
Most of computer-aided process planning (CAPP) systems for machining process planning offer the functions for feature recognition. Nevertheless, these functions have limited functionality, restricting the usage of CAPP systems. The research works clearly show that one of the main factors blocking the feature technology is the recognition of interacting features. The paper presents the algorithm for the efficient recognition of interacting features. The starting point is the assumption that manufacturing knowledge plays the crucial role in the feature recognition. The manufacturing knowledge decides how to group the basic geometric entities into the manufacturing features. The presented algorithm uses the feature refinement function, converting the initial set of features into the other set of features based on the manufacturing knowledge and the function for local feature recognition. The algorithm is relatively simple, while taking into account the requirements imposed on the feature recognition systems.
- Record ID
- CUT93c769924ba74e5ca06154aec88d470b
- Publication categories
- ; ;
- Author
- Pages
- 249-258
- Other elements of collation
- Bibliografia (na s.) - 258; Bibliografia (liczba pozycji) - 9; Oznaczenie streszczenia - Abstr.
- Substantive notes
- Data cop. 2018
- Book
- Hamrol A., A. Hamrol Ciszak O., O. Ciszak Legutko S. S. Legutko [et al.] (eds.): Advances in Manufacturing, Lecture Notes in Mechanical Engineering, 2018, Cham, Springer, Springer, ISBN 978-3-319-68619-6 (Online)
- Keywords in English
- manufacturing features, feature recognition, feature interactions CAPP
- DOI
- DOI:10.1007/978-3-319-68619-6_24 Opening in a new tab
- URL
- https://link.springer.com/chapter/10.1007/978-3-319-68619-6_24 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 20
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT93c769924ba74e5ca06154aec88d470b/
- URN
urn:pkr-prod:CUT93c769924ba74e5ca06154aec88d470b
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.