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Towards an efficient process planning of the V-bending process: an enhanced automated feature recognition system

Towards an efficient process planning of the V-bending process: an enhanced automated feature... The process planning of V-bending involves the determination of a feasible sequence of bending tasks to achieve the final desired product shape. The feasibility of such a sequence is materialized by the absence of collision between the sheet metal and the tool set or any part of the press brake. Meanwhile, efficient process planning targets the minimization of the number of bending setup and handling tasks. This paper presents an enhanced automated feature recognition system for effectively determining part shape features that are suitable for feasible and efficient process planning of the V-bending process. The developed system automatically recognizes and reasons information of bend lines, and relations between them form STEP AP-203 format. It provides additional information regarding the relationships between bend lines based on a new classification that can facilitate efficient selection of tools and bend sequences. It also provides an easier approach for the estimation of some bend parameters compared to previous methods in the literature. An example is provided to demonstrate the benefit of applying the developed system in generating more efficient process plans. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The International Journal of Advanced Manufacturing Technology Springer Journals

Towards an efficient process planning of the V-bending process: an enhanced automated feature recognition system

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References (22)

Publisher
Springer Journals
Copyright
Copyright © 2017 by Springer-Verlag London
Subject
Engineering; Industrial and Production Engineering; Media Management; Mechanical Engineering; Computer-Aided Engineering (CAD, CAE) and Design
ISSN
0268-3768
eISSN
1433-3015
DOI
10.1007/s00170-017-0104-9
Publisher site
See Article on Publisher Site

Abstract

The process planning of V-bending involves the determination of a feasible sequence of bending tasks to achieve the final desired product shape. The feasibility of such a sequence is materialized by the absence of collision between the sheet metal and the tool set or any part of the press brake. Meanwhile, efficient process planning targets the minimization of the number of bending setup and handling tasks. This paper presents an enhanced automated feature recognition system for effectively determining part shape features that are suitable for feasible and efficient process planning of the V-bending process. The developed system automatically recognizes and reasons information of bend lines, and relations between them form STEP AP-203 format. It provides additional information regarding the relationships between bend lines based on a new classification that can facilitate efficient selection of tools and bend sequences. It also provides an easier approach for the estimation of some bend parameters compared to previous methods in the literature. An example is provided to demonstrate the benefit of applying the developed system in generating more efficient process plans.

Journal

The International Journal of Advanced Manufacturing Technology – Springer Journals

Published: Feb 9, 2017

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